{
    "domain": "messages",
    "locale_data": {
        "messages": {
            "1": [
                "1"
            ],
            "": {
                "domain": "messages",
                "plural_forms": "nplurals=4; plural=n%100==1 ? 0 : n%100==2 ? 1 : n%100==3 || n%100==4 ? 2 : 3;",
                "lang": "sl"
            },
            "'{col}' contains infinite values": [
                "Stolpec »{col}« vsebuje neskončne vrednosti"
            ],
            "'{col}' contains missing values": [
                "Stolpec »{col}« vsebuje manjkajoče vrednosti"
            ],
            "'{col}' contains only missing values": [
                "Stolpec »{col}« vsebuje le manjkajoče vrednosti"
            ],
            "'{col}' contains only one unique value": [
                "Stolpec »{col}« vsebuje le eno enoznačno vrednost"
            ],
            "'{method}' extraction method was used in combination with a '{rotation}' rotation": [
                "Uporabljena je bila metoda ekstrakcije »{method}« v kombinaciji z rotacijo »{rotation}«"
            ],
            "'{rotation}' rotation was used": [
                "Uporabljena je bila rotacija »{rotation}«"
            ],
            "'{var}' contains negative values. Negative weights are not permitted.": [
                "Vrednost »{var}« vsebuje negativne vrednosti. Negativne uteži niso dovoljene."
            ],
            "{} - Kendall's Tau B": [
                "{} – Kendallov Tau-B"
            ],
            "{} - Pearson's r": [
                "{} – Pearsonov r"
            ],
            "{} - Spearman's rho": [
                "{} – Spearmanov ro"
            ],
            "{ciWidth}% CI Lower": [
                "{ciWidth}% spodnjega IZ"
            ],
            "{ciWidth}% CI mean {title}": [
                "{ciWidth}% povprečja IZ {title}"
            ],
            "{ciWidth}% CI Upper": [
                "{ciWidth}% zgornjega IZ"
            ],
            "{ciWidth}% Confidence Interval": [
                "{ciWidth} % interval zaupanja"
            ],
            "{ciWidth}% Confidence Intervals": [
                "{ciWidth} % intervali zaupanja"
            ],
            "{item1} and {item2}": [
                "{item1} in {item2}"
            ],
            "{list}, {nextItem}": [
                "{list}, {nextItem}"
            ],
            "{list}, and {lastItem}": [
                "{list} in {lastItem}"
            ],
            "{n} pair(s) of values were tied": [
                "{n} par(ov) vrednosti je povezanih"
            ],
            "{type} score based on the variables {vars}": [
                ""
            ],
            "{varName} (reversed)": [
                "{varName} (obrnjeno)"
            ],
            "{varType} of binomial logistic regression model{modelNo}": [
                "{varType} modela {modelNo} binomske logistične regresije"
            ],
            "{varType} of linear regression model{modelNo}": [
                "{varType} modela {modelNo} linearne regresije"
            ],
            "* p < .05, ** p < .01, *** p < .001, one-tailed": [
                "* p < .05, ** p < .01, *** p < .001, enosmerno"
            ],
            "%": [
                "%"
            ],
            "% Correct": [
                "% pravilnih"
            ],
            "% of Total": [
                "% celote"
            ],
            "% of total": [
                "% celote"
            ],
            "% of Variance": [
                "% variance"
            ],
            "% within column": [
                "% po stolpcu"
            ],
            "% within row": [
                "% po vrstici"
            ],
            "`'1'`, `'2'` or `'3'` (default), the sum of squares to use": [
                "`'1'`, `'2'` ali `'3'` (privzeto), vsota kvadratov, ki naj se uporabi"
            ],
            "`'2'` or `'3'` (default), the sum of squares to use": [
                "`'2'` ali `'3'` (privzeto), vsota kvadratov, ki naj se uporabi"
            ],
            "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; group 1 different to group 2, group 1 greater than group 2, and group 2 greater than group 1 respectively": [
                "`'different'` (privzeto), `'oneGreater'` ali `'twoGreater'`, alternativna hipoteza; skupina 1 se razlikuje od skupine 2, skupina 1 je večja od skupine 2, skupina 2 je večja od skupine 1"
            ],
            "`'different'` (default), `'oneGreater'` or `'twoGreater'`, the alternative hypothesis; measure 1 different to measure 2, measure 1 greater than measure 2, and measure 2 greater than measure 1 respectively": [
                "`'different'` (privzeto), `'oneGreater'` ali `'twoGreater'`, alternativna hipoteza; mera 1 se razlikuje od mere 2, mera 1 je večja od mere 2 in mera 2 je večja od mere 1"
            ],
            "`'dt'` (default), `'gt'` or `'lt'`, the alternative hypothesis; different to `testValue`, greater than `testValue`, and less than `testValue` respectively": [
                "`'dt'` (privzeto), `'gt'` ali `'lt'`, alternativna hipoteza; vrednost je različna od `preizkusne vrednosti`, je večja od `preizkusne vrednosti` oziroma manjša od `preizkusne vrednosti`"
            ],
            "`'facVar'` or `'facInd'`, how to contrain the model; `'facVar'` fixes the factor variances to one, `'facInd'` fixes each factor to the scale of its first indicator.": [
                ""
            ],
            "`'listwise'` or `'fiml'`, how to handle missing values; `'listwise'` excludes a row from all analyses if one of its entries is missing, `'fiml'` uses a full information maximum likelihood method to estimate the model.": [
                "`'listwise'` ali `'fiml'` načina obravnave manjkajočih vrednosti; `'listwise'` izključi vrstico iz vseh analiz, če eden od vnosov te vrstice manjka, `'fiml'` pa uporabi za oceno modela največje verjetje."
            ],
            "`'means'` (default) or `'medians'`, the error bars to use in the plot": [
                ""
            ],
            "`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual', 'maximum likelihood', or 'prinicipal axis' as the factor extraction method": [
                ""
            ],
            "`'none'`, `'ci'` (default), or `'se'`. Use no error bars, use confidence intervals, or use standard errors on the marginal mean plots, respectively": [
                ""
            ],
            "`'none'`, `'gamesHowell'` or `'tukey'`, which post-hoc tests to provide; `'none'` shows no post-hoc tests, `'gamesHowell'` shows Games-Howell post-hoc tests where no equivalence of variances is assumed, and `'tukey'` shows Tukey post-hoc tests where equivalence of variances is assumed": [
                ""
            ],
            "`'none'`, `'varimax'` (default), `'quartimax'`, `'promax'`, `'oblimin'`, or `'simplimax'`, the rotation to use in estimation": [
                "`'none'`, `'varimax'` (privzeto), `'quartimax'`, `'promax'`, `'oblimin'` oziroma `'simplimax'` – pomenijo uporabljen način rotacije pri napovedovanju"
            ],
            "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (default), or `'simplimax'`, the rotation to use in estimation": [
                "`'none'`, `'varimax'`, `'quartimax'`, `'promax'`, `'oblimin'` (privzeto) oziroma `'simplimax'` – pomenijo uporabljen način rotacije pri napovedovanju"
            ],
            "`'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis": [
                "`'notequal'` (privzeto), `'greater'` oziroma `'less'` – pomeni napoved alternativne hipoteze"
            ],
            "`'parallel'` (default), `'eigen'` or `'fixed'`, the way to determine the number of factors": [
                "`'parallel'` (privzeto), `'eigen'` ali `'fixed'` pomenijo način določevanja števila faktorjev"
            ],
            "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing": [
                "`'perAnalysis'` ali `'listwise'` pomenita način uporavljanja z manjkajočimi vrednostmi – `'perAnalysis'` izloči manjkajoče za posamezno odvisno spremenljivko, `'listwise'` pa izloči vrstico primera iz vseh načrtovanih analiz, če katerikoli izmed vnosov manjka"
            ],
            "`'perAnalysis'` or `'listwise'`, how to handle missing values; `'perAnalysis'` excludes missing values for individual dependent variables, `'listwise'` excludes a row from all analyses if one of its entries is missing.": [
                "`'perAnalysis'` ali `'listwise'` pomenita način uporavljanja z manjkajočimi vrednostmi – `'perAnalysis'` izloči manjkajoče za posamezno odvisno spremenljivko, `'listwise'` pa izloči vrstico primera iz vseh načrtovanih analiz, če katerikoli izmed vnosov manjka."
            ],
            "`'refLevel'` (default) or `'grandMean'`, coding of the intercept. Either creates contrast so that the intercept represents the reference level or the grand mean": [
                ""
            ],
            "`'rows'` or `'columns'` (default), display the variables across the rows or across the columns (default)": [
                "`'rows'` ali `'columns'` (privzeto), določi način prikaza spremenljivk po vrsticah, ali po stolpcih"
            ],
            "`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`, or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge', 'Anderson & Rubin', or 'Harman' method for estimating factor scores": [
                "`'Thurstone'` (privzeto), `'Bartlett'`, `'tenBerge'`, `'Anderson'` ali `'Harman'` za izbor 'Thurstoneove', 'Bartlettove', 'ten Bergeove', 'Anderson & Rubinove' ali 'Harmanove' metode ocenjevanja faktorskih rezultatov"
            ],
            "`ANCOVA - ${dep}`": [
                "`ANCOVA – ${dep}`"
            ],
            "`ANOVA - ${dep}`": [
                "`ANOVA – ${dep}`"
            ],
            "`columns` or `rows` (default), compare columns/rows in difference of proportions or relative risks (2x2 tables)": [
                "`columns` oziroma `rows` (privzeto), primerja po stolpcih ali vrsticah razliko deležev oziroma relativno tveganje 8 (matrike 2x2)"
            ],
            "`Model Coefficients - ${ dep }`": [
                "`Koeficienti modela – ${ dep }`"
            ],
            "`Model Coefficients - ${dep}`": [
                "`Koeficienti modela – ${dep}`"
            ],
            "`Proportions - ${var}`": [
                "`Deleži – ${var}`"
            ],
            "`TRUE` (default) or `FALSE`, add labels with the row number to the outliers in the box plot": [
                "`TRUE` (privzeto) ali `FALSE`, poda oznake s številko vrstice za izstopajoče vrednosti v vretenastem diagramu"
            ],
            "`TRUE` (default) or `FALSE`, perform Student's t-tests": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna statistiko T-Testa"
            ],
            "`TRUE` (default) or `FALSE`, perform Welch's one-way ANOVA which does not assume equal variances": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna Welchovo enosmerno analizo ANOVA, ki ne predvideva enakih varianc"
            ],
            "`TRUE` (default) or `FALSE`, provide 'Z' and 'p' values for the model estimates": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna vrednosti 'Z' in 'p' za napoved modela"
            ],
            "`TRUE` (default) or `FALSE`, provide a chi-square test for exact fit that compares the model with the perfect fitting model": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna hi-kvadrat natančega prileganja, ki primerja podan model s popolno prilegajočim se modelom"
            ],
            "`TRUE` (default) or `FALSE`, provide a confidence interval for the estimated marginal means": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna interval zaupanja za ocenjena mejna povprečja"
            ],
            "`TRUE` (default) or `FALSE`, provide Aikaike's Information Criterion (AIC) for the models": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna Aikaikejev informacijski kriterij (AIC) za modele"
            ],
            "`TRUE` (default) or `FALSE`, provide Cronbach's α": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna Cronbachov koeficient α"
            ],
            "`TRUE` (default) or `FALSE`, provide estimated marginal means plots": [
                "`TRUE` (privzeto) ali `FALSE`, izriše diagrame ocenjenih mejnih povprečij"
            ],
            "`TRUE` (default) or `FALSE`, provide estimates for the factor (co)variances": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna ocene za faktorske (ko)variance"
            ],
            "`TRUE` (default) or `FALSE`, provide estimates for the residual (co)variances": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna ocene za (ko)variance ostankov"
            ],
            "`TRUE` (default) or `FALSE`, provide mean differences for post-hoc tests": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna razlike povprečij za preizkuse post hoc"
            ],
            "`TRUE` (default) or `FALSE`, provide Pearson's R": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna Pearsonov koeficient R"
            ],
            "`TRUE` (default) or `FALSE`, provide significance levels": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna ravni statistične značilnosti"
            ],
            "`TRUE` (default) or `FALSE`, provide significance levels for post-hoc tests": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna ravni statistične značilnosti za preizkuse post-hoc"
            ],
            "`TRUE` (default) or `FALSE`, provide the deviance (or -2LogLikelihood) for the models": [
                ""
            ],
            "`TRUE` (default) or `FALSE`, provide the mean": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna povprečno vrednost"
            ],
            "`TRUE` (default) or `FALSE`, provide the median": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna mediano"
            ],
            "`TRUE` (default) or `FALSE`, provide the model comparison between the models and the NULL model": [
                "`TRUE` (privzeto) ali `FALSE`, poda modelsko primerjavo med uporabljenimi modeli in preizkusnim modelom"
            ],
            "`TRUE` (default) or `FALSE`, provide the number of missing values": [
                "`TRUE` (privzeto) ali `FALSE`, poda število manjkajočih vrednosti"
            ],
            "`TRUE` (default) or `FALSE`, provide the sample size": [
                "`TRUE` (privzeto) ali `FALSE`, poda podatek velikosti vzorca"
            ],
            "`TRUE` (default) or `FALSE`, provide the standard deviation": [
                "`TRUE` (privzeto) ali `FALSE`, poda standardni odklon"
            ],
            "`TRUE` (default) or `FALSE`, provide the statistical measure `R-squared` for the models": [
                "`TRUE` (privzeto) ali `FALSE`, poda statistično lestvico `R-squared` modela"
            ],
            "`TRUE` (default) or `FALSE`, provide the statistical measure `R` for the models": [
                "`TRUE` (privzeto) ali `FALSE`, poda statistično lestvico `R` modela"
            ],
            "`TRUE` (default) or `FALSE`, provide χ²": [
                "`TRUE` (privzeto) ali `NAPAK`, izračuna vrednost χ²"
            ],
            "`TRUE` (default) or `FALSE`, weigh each cell equally or weigh them according to the cell frequency": [
                "`TRUE` (privzeto) ali `FALSE`, uteži vsako celico enako ali pa poda uteženo vrednost glede na frekvenco celice"
            ],
            "`TRUE` or `FALSE` (default), add counts to the  bar plots": [
                "`TRUE` (privzeto) ali `FALSE`, doda števce na vretenaste diagrame"
            ],
            "`TRUE` or `FALSE` (default), add mean to box plot": [
                "`TRUE` (privzeto) ali `FALSE`, doda povprečno vrednost na vretenasti diagram"
            ],
            "`TRUE` or `FALSE` (default), flag significant correlations": [
                "`TRUE` or `FALSE` (privzeto), označi statistično značilne korelacije"
            ],
            "`TRUE` or `FALSE` (default), flag significant post-hoc comparisons": [
                "`TRUE` or `FALSE` (privzeto), označi statistično značilne primerjave post-hoc"
            ],
            "`TRUE` or `FALSE` (default), perform a Shapiro-Wilk test on the residuals": [
                "`TRUE` ali `FALSE` (privzeto), izvede Shapiro-Wilkov preizkus na ostankih"
            ],
            "`TRUE` or `FALSE` (default), perform Fisher's one-way ANOVA which assumes equal variances": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna vrednosti Fisherjeve enosmerne analize ANOVA s predvidevanjem enakih varianc"
            ],
            "`TRUE` or `FALSE` (default), perform homogeneity tests": [
                "`TRUE` ali `FALSE` (privzeto), izvede preizkuse homogenosti"
            ],
            "`TRUE` or `FALSE` (default), perform Levene's test for homogeneity of variances": [
                "`TRUE` ali `FALSE` (privzeto), izvede Levenove preizkuse homogenosti varianc"
            ],
            "`TRUE` or `FALSE` (default), perform Levene's tests for homogeneity of variances": [
                "`TRUE` ali `FALSE` (privzeto), izvede Levenov preizkus homogenosti varianc"
            ],
            "`TRUE` or `FALSE` (default), perform Mann-Whitney U tests": [
                "`TRUE` ali `FALSE` (privzeto), izračuna Man-Whitneyev U"
            ],
            "`TRUE` or `FALSE` (default), perform pairwise comparisons": [
                "`TRUE` or `FALSE` (privzeto), izvede parne primerjave"
            ],
            "`TRUE` or `FALSE` (default), perform Shapiro-wilk normality tests": [
                "`TRUE` ali `FALSE` (privzeto), izvede Shapiro-Wilkove preizkuse normalnosti"
            ],
            "`TRUE` or `FALSE` (default), perform Shapiro-Wilk test of normality": [
                "`TRUE` ali `FALSE` (privzeto), izvede Shapiro-Wilkov preizkus normalnosti"
            ],
            "`TRUE` or `FALSE` (default), perform Shapiro-Wilk tests of normality": [
                "`TRUE` ali `FALSE` (privzeto), izvede Shapiro-Wilkove preizkuse normalnosti"
            ],
            "`TRUE` or `FALSE` (default), perform Shapiro-wilk tests of normality": [
                "`TRUE` ali `FALSE` (privzeto), izvede Shapiro-Wilkove preizkuse normalnosti"
            ],
            "`TRUE` or `FALSE` (default), perform sphericity tests": [
                "`TRUE` ali `FALSE` (privzeto), izvede preizkus sferičnosti"
            ],
            "`TRUE` or `FALSE` (default), perform Welch's t-tests": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost Welchovih T-Testov"
            ],
            "`TRUE` or `FALSE` (default), perform Wilcoxon signed rank tests": [
                "`TRUE` ali `FALSE` (privzeto), izvede Wilcoxonov preizkus predznačenih rangov"
            ],
            "`TRUE` or `FALSE` (default), plot the data on top of the marginal means": [
                "`TRUE` or `FALSE` (privzeto), izriše podatke na robna povprečja"
            ],
            "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient estimates": [
                "`TRUE` ali `FALSE` (privzeto), določi interval zaupanja za napovedane koeficientov modela"
            ],
            "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient odds ratio estimates": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient rate ratio estimates": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficient standardized estimates": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a confidence interval for the model coefficients": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a confidence interval for the model estimates": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a correlation matrix plot": [
                "`TRUE` ali `FALSE` (privzeto), izriše diagram korelacijske matrike"
            ],
            "`TRUE` or `FALSE` (default), provide a correlation plot": [
                "`TRUE` ali `FALSE` (privzeto), izriše diagram korelacije"
            ],
            "`TRUE` or `FALSE` (default), provide a cut-off plot": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a descriptive plot": [
                "`TRUE` ali `FALSE` (privzeto), izriše diagram opisne statistike"
            ],
            "`TRUE` or `FALSE` (default), provide a path diagram of the model": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a predicted classification table (or confusion matrix)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a Q-Q plot of multivariate normality": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a Q-Q plot of residuals": [
                "`TRUE` ali `FALSE` (privzeto), izriše diagrame Q-Q ostankov"
            ],
            "`TRUE` or `FALSE` (default), provide a ROC curve plot": [
                "`TRUE` ali `FALSE` (privzeto), izriše krivuljni diagram"
            ],
            "`TRUE` or `FALSE` (default), provide a standardized estimate for the model coefficients": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a standardized estimate for the model estimates": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide a z test for differences between two proportions": [
                "`TRUE` or `FALSE` (privzeto), izračuna preizkus z sorazmernih razlik med dvema deležema"
            ],
            "`TRUE` or `FALSE` (default), provide Aikaike's Information Criterion (AIC) for the models": [
                "`TRUE` ali `FALSE` (privzeto), izračuna Aikaikejev informacijski kriterij (AIC) za modele"
            ],
            "`TRUE` or `FALSE` (default), provide an exact log odds ratio (requires exact2x2 to be installed)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide bar plots (nominal, ordinal variables only)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Bayes factors": [
                "`TRUE` ali `FALSE` (privzeto), izračuna Bayesove faktorje"
            ],
            "`TRUE` or `FALSE` (default), provide Bayesian credible intervals": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Bayesian Information Criterion (BIC) for the models": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide box plots (continuous variables only)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Box-Tidwell test for linearity of the logit": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Box's M test": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Cohen's d effect sizes": [
                "`TRUE` ali `FALSE` (privzeto), izračuna Cohenove d učinke velikosti"
            ],
            "`TRUE` or `FALSE` (default), provide column percentages": [
                "`TRUE` ali `FALSE` (privzeto), poda ostotke stolpca"
            ],
            "`TRUE` or `FALSE` (default), provide confidence intervals": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna interval zaupanja"
            ],
            "`TRUE` or `FALSE` (default), provide confidence intervals for the comparative measures": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna interval zaupanja primerjalnih lestvic"
            ],
            "`TRUE` or `FALSE` (default), provide confidence intervals for the effect-sizes": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna interval zaupanja učinka velikosti"
            ],
            "`TRUE` or `FALSE` (default), provide confidence intervals for the mean": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna interval zaupanja povprečne vrednosti"
            ],
            "`TRUE` or `FALSE` (default), provide confidence intervals for the mean difference": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna interval zaupanja razlike povprečja"
            ],
            "`TRUE` or `FALSE` (default), provide confidence intervals for the post-hoc effect sizes": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna interval zaupanja učinka velikosti preizkusa post-hoc"
            ],
            "`TRUE` or `FALSE` (default), provide densities in the correlation matrix plot": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide density plots (continuous variables only)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide descriptive plots": [
                "`TRUE` ali `FALSE` (privzeto), izriše diagrame opisne statistike"
            ],
            "`TRUE` or `FALSE` (default), provide descriptive statistics": [
                "`TRUE` ali `FALSE` (privzeto), poda izračune opisne statistike"
            ],
            "`TRUE` or `FALSE` (default), provide dot plots (continuous variables only)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide effect sizes": [
                "`TRUE` ali `FALSE` (privzeto), izračuna učinke velikosti"
            ],
            "`TRUE` or `FALSE` (default), provide effect-sizes": [
                "`TRUE` ali `FALSE` (privzeto), izračuna učinke velikosti"
            ],
            "`TRUE` or `FALSE` (default), provide estimated marginal means tables": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide estimates for the factor intercepts": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide estimates for the residual intercepts": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Fisher's exact test": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost Fišerjevega natančnega preizkusa"
            ],
            "`TRUE` or `FALSE` (default), provide frequency tables (nominal, ordinal variables only)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide gamma": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost gama"
            ],
            "`TRUE` or `FALSE` (default), provide histograms (continuous variables only)": [
                "`TRUE` ali `FALSE` (privzeto), izriše histograme (le za zvezne spremenljivke)"
            ],
            "`TRUE` or `FALSE` (default), provide item means": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna povprečne vrednosti predmetov"
            ],
            "`TRUE` or `FALSE` (default), provide item standard deviations": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide item-rest correlations": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Kendall's tau-b": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost Kendallovega Tau-B"
            ],
            "`TRUE` or `FALSE` (default), provide Mantel-Haenszel test for trend": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost Mantel-Haenszelovega trendnega preizkusa"
            ],
            "`TRUE` or `FALSE` (default), provide McDonald's ω": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost McDonaldove ω"
            ],
            "`TRUE` or `FALSE` (default), provide means and standard deviations": [
                "`TRUE` ali `FALSE` (privzeto), izračuna povprečne vrednosti in standardne odklone"
            ],
            "`TRUE` or `FALSE` (default), provide means and standard errors": [
                "`TRUE` ali `FALSE` (privzeto), izračuna povprečne vrednosti in standardne napake"
            ],
            "`TRUE` or `FALSE` (default), provide modification indices for the parameters not included in the model": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide N most extreme (highest and lowest) values": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide percentiles": [
                "`TRUE` or `FALSE` (privzeto), določi percentile"
            ],
            "`TRUE` or `FALSE` (default), provide Phi and Cramer's V": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide posterior plots": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide Q-Q plots (continuous variables only)": [
                "`TRUE` ali `FALSE` (privzeto), izriše diagrame Q-Q (le za zvezne spremenljivke)"
            ],
            "`TRUE` or `FALSE` (default), provide Q-Q plots of residuals": [
                "`TRUE` ali `FALSE` (privzeto), izriše diagrame Q-Q ostankov"
            ],
            "`TRUE` or `FALSE` (default), provide quantiles": [
                "`TRUE` ali `FALSE` (privzeto), izračuna kvantile"
            ],
            "`TRUE` or `FALSE` (default), provide residual plots where the dependent variable and each covariate is plotted against the standardized residuals.": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide results of the Durbin- Watson test for autocorrelation": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednosti Durbin-Watsovega testa samokorelacije"
            ],
            "`TRUE` or `FALSE` (default), provide RMSE for the models": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide row percentages": [
                "`TRUE` ali `FALSE` (privzeto), izračuna odstotne vrednosti"
            ],
            "`TRUE` or `FALSE` (default), provide Shapiro-Wilk p-value": [
                "`TRUE` ali `FALSE` (privzeto), izračuna Shapiro-Wilkovo p-vrednost"
            ],
            "`TRUE` or `FALSE` (default), provide Shapiro-Wilk test": [
                "`TRUE` ali `FALSE` (privzeto), izvede Shapiro-Wilkov preizkus"
            ],
            "`TRUE` or `FALSE` (default), provide Spearman's rho": [
                "`PRAV` ali `NAPAK` (privzeto), izračuna Spearmanov koeficient ro"
            ],
            "`TRUE` or `FALSE` (default), provide statistics in the correlation matrix plot": [
                "`TRUE` ali `FALSE` (privzeto), izračuna statistiko korelacij v izrisu korelacijske matrike"
            ],
            "`TRUE` or `FALSE` (default), provide summary statistics for the Cook's distance": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide test results (t-value and degrees of freedom) for post-hoc tests": [
                "`TRUE` ali `FALSE` (privzeto), izračuna statistike (t-vrednost in prostostne stopnje) za post-hoc teste"
            ],
            "`TRUE` or `FALSE` (default), provide the contingency coefficient": [
                "`TRUE` ali `FALSE` (privzeto), poda koeficient kontingenčnosti"
            ],
            "`TRUE` or `FALSE` (default), provide the differences in proportions (only available for 2x2 tables)": [
                "`TRUE` or `FALSE` (privzeto), izračuna razliko med deleži (na voljo le za matrike 2x2)"
            ],
            "`TRUE` or `FALSE` (default), provide the expected counts": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the exponential of the log-odds ratio estimate, or the odds ratio estimate": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the exponential of the log-rate ratio estimate, or the rate ratio estimate": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the interquartile range": [
                "`TRUE` ali `FALSE` (privzeto), izračuna interkvartilne range"
            ],
            "`TRUE` or `FALSE` (default), provide the kurtosis": [
                "`TRUE` ali `FALSE` (privzeto), izračuna sploščenost porazdelitve"
            ],
            "`TRUE` or `FALSE` (default), provide the likelihood ratio": [
                "`TRUE` ali `FALSE` (privzeto), izračuna razmerje verjetij"
            ],
            "`TRUE` or `FALSE` (default), provide the log odds ratio (only available for 2x2 tables)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the maximum": [
                "`TRUE` ali `FALSE` (privzeto), poda največjo vrednost"
            ],
            "`TRUE` or `FALSE` (default), provide the mean": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna povprečno vrednost podatkov"
            ],
            "`TRUE` or `FALSE` (default), provide the minimum": [
                "`TRUE` ali `FALSE` (privzeto), poda najmanjšo vrednost"
            ],
            "`TRUE` or `FALSE` (default), provide the mode": [
                "`TRUE` ali `FALSE` (privzeto), poda modus podatkov"
            ],
            "`TRUE` or `FALSE` (default), provide the model comparison between the models and the NULL model": [
                "`TRUE` ali `FALSE` (privzeto), poda modelsko primerjavo med uporabljenimi modeli in preizkusnim modelom"
            ],
            "`TRUE` or `FALSE` (default), provide the number of cases": [
                "`TRUE` ali `FALSE` (privzeto), poda število primerov"
            ],
            "`TRUE` or `FALSE` (default), provide the observed counts": [
                "`TRUE` ali `FALSE` (privzeto), izpiše števce opazovanj"
            ],
            "`TRUE` or `FALSE` (default), provide the odds ratio (only available for 2x2 tables)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the omnibus ANOVA test for the predictors": [
                "`TRUE` ali `FALSE` (privzeto), izvede preizkus omnibus ANOVA za vzročne spremenljivke"
            ],
            "`TRUE` or `FALSE` (default), provide the omnibus likelihood ratio tests for the predictors": [
                "`TRUE` ali `FALSE` (privzeto), izvede preizkus razmerja verjetij omnibus ANOVA za vzročne spremenljivke"
            ],
            "`TRUE` or `FALSE` (default), provide the predicted accuracy of outcomes grouped by the cut-off value": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the predicted sensitivity of outcomes grouped by the cut-off value": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the predicted specificity of outcomes grouped by the cut-off value": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the range": [
                "`TRUE` ali `FALSE` (privzeto), poda obseg vrednosti podatkov"
            ],
            "`TRUE` or `FALSE` (default), provide the rea under the ROC curve (AUC)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the relative risk (only available for 2x2 tables)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the residuals for the observed correlation matrix (i.e., the difference between the expected correlation matrix and the observed correlation matrix)": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the skewness": [
                "`TRUE` ali `FALSE` (privzeto), izračuna asimetričnost porazdelitve"
            ],
            "`TRUE` or `FALSE` (default), provide the standard deviation": [
                "`TRUE` ali `FALSE` (privzeto), izračuna standardni odklon"
            ],
            "`TRUE` or `FALSE` (default), provide the standard error": [
                "`TRUE` ali `FALSE` (privzeto), izračuna standardno napako"
            ],
            "`TRUE` or `FALSE` (default), provide the statistical measure `adjusted R-squared` for the models": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the sum": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vsoto podatkov spremenljivke"
            ],
            "`TRUE` or `FALSE` (default), provide the thresholds that are used as cut-off scores for the levels of the dependent variable": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide the variance": [
                "`TRUE` ali `FALSE` (privzeto), izračuna varianco podatkov spremenljivke"
            ],
            "`TRUE` or `FALSE` (default), provide total percentages": [
                "`TRUE` ali `FALSE` (privzeto), poda skupne odstotne vrednosti"
            ],
            "`TRUE` or `FALSE` (default), provide VIF and tolerence collinearity statistics": [
                ""
            ],
            "`TRUE` or `FALSE` (default), provide violin plots (continuous variables only)": [
                "`TRUE` ali `FALSE` (privzeto), izriše violinske diagrame (le za zvezne spremenljivke)"
            ],
            "`TRUE` or `FALSE` (default), provide what the Cronbach's α would be if the item was dropped": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost Cronbachove α, če je predmet izpuščen"
            ],
            "`TRUE` or `FALSE` (default), provide what the McDonald's ω would be if the item was dropped": [
                "`TRUE` ali `FALSE` (privzeto), izračuna vrednost McDonaldove ω, če je predmet izpuščen"
            ],
            "`TRUE` or `FALSE` (default), provide χ² with continuity correction": [
                "`TRUE` (privzeto) ali `FALSE`, izračuna vrednost χ² s popravkom zveznosti"
            ],
            "`TRUE` or `FALSE` (default), report a summary of the different groups": [
                ""
            ],
            "`TRUE` or `FALSE` (default), set a cut-off used for the predictions": [
                ""
            ],
            "`TRUE` or `FALSE` (default), show barplots": [
                ""
            ],
            "`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results": [
                "ω"
            ],
            "`TRUE` or `FALSE` (default), show eigenvalue table": [
                ""
            ],
            "`TRUE` or `FALSE` (default), show factor summary": [
                "`TRUE` ali `FALSE` (privzeto), pokaže povzetek faktorjev"
            ],
            "`TRUE` or `FALSE` (default), show inter-factor correlations": [
                "`TRUE` ali `FALSE` (privzeto), pokaže med-faktorske korelacije"
            ],
            "`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy (MSA) results": [
                ""
            ],
            "`TRUE` or `FALSE` (default), show model fit measures and test": [
                ""
            ],
            "`TRUE` or `FALSE` (default), show scree plot": [
                "`TRUE` ali `FALSE` (privzeto), pokaže diagram komponent"
            ],
            "`TRUE` or `FALSE` (default), sort the factor loadings by size": [
                ""
            ],
            "`TRUE` or `FALSE` (default), test for homogeneity of variances (i.e., Levene's test)": [
                "`TRUE` ali `FALSE` (privzeto), izvede preizkus homogenosti varianc (npr. Levenov preizkus)"
            ],
            "`TRUE` or `FALSE` (default), the variables are counts": [
                "`TRUE` ali `FALSE` (privzeto), spremenljivke so števci"
            ],
            "`TRUE` or `FALSE` (default), whether expected counts should be displayed": [
                "`TRUE` ali `FALSE` (privzeto), določa, ali naj bodo prikazani tudi pričakovani števci"
            ],
            "`TRUE` or `FALSE` (default); perform an overall model test": [
                ""
            ],
            "±%": [
                "±%"
            ],
            "< Test value": [
                "< Testne vrednosti"
            ],
            "≠ Test value": [
                "≠ testni vrednosti"
            ],
            "> Test value": [
                "> testne vrednosti"
            ],
            "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD": [
                "⁻ povprečje - 1SO, <sup>μ</sup> povprečje, ⁺ povprečje + 1SO"
            ],
            "1 - Specificity": [
                "1 – Specifičnost"
            ],
            "2 Outcomes": [
                "2 izida"
            ],
            "25,50,75": [
                "25, 50, 75"
            ],
            "a (semi)partial correlation matrix table": [
                "razpredelnica matrike (semi)delne korelacije"
            ],
            "a comma-sepated list (default: 25,50,75) specifying the percentiles": [
                "z vejico ločen seznam (privzeto: 25,50,75) percentilov"
            ],
            "a correlation matrix plot": [
                "diagram matrike korelacij"
            ],
            "a correlation matrix table": [
                "razpredelnica matrike korelacij"
            ],
            "a descriptives plot": [
                "diagrami opisne statistike"
            ],
            "a formula containing the terms to estimate marginal means for (see the examples)": [
                "enačba s pogoji za napovedovanje robnih povprečnih vrednosti (več med primeri)"
            ],
            "a formula containing the terms to estimate marginal means for, supports up to three variables per term": [
                "enačba s pogoji za napovedovanje robnih povprečnih vrednosti, s podporo do treh spremenljivk na pogoj"
            ],
            "a formula containing the terms to perform post-hoc tests on (see the examples)": [
                "enačba s pogoji za izvajanje preizkusov post-hoc (več med primeri)"
            ],
            "a formula describing the terms to go into the model (not necessary when providing a formula, see examples)": [
                ""
            ],
            "a list containing named lists that define the `label` of the factor and the `vars` that belong to that factor": [
                ""
            ],
            "a list containing vectors of strings that name the predictors that are added to the model. The elements are added to the model according to their order in the list": [
                "seznam, ki vsebuje vektorje nizov z imeni vzročnih spremenljivk, ki so dodane modelu. Te so dodane modelu glede na vrstni red na seznamu"
            ],
            "a list of character vectors describing the between subjects terms to go into the model": [
                "seznam vektorjev znakov, ki opisujejo pogoje med predmeti v modelu"
            ],
            "a list of character vectors describing the post-hoc tests that need to be computed": [
                "seznam znakovnih vektorjev, ki opisujejo preizkuse post-hoc za izračun"
            ],
            "a list of character vectors describing the repeated measures terms to go into the model": [
                "seznam znakovnih vektorjev, ki opisujejo pogoje ponavljajočih se meritev, ki se vključijo v model"
            ],
            "a list of lists specifying reference levels of the dependent variable and all the factors": [
                "seznam seznamov, ki določajo sklicne ravni odvisne spremenljivke in vseh faktorjev"
            ],
            "a list of lists specifying the factor and type of contrast to use, one of `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` or `'polynomial'`": [
                "seznam seznamov, ki določajo faktor in vrsto kontrasta za uporabo ene od možnosti `'deviation'`, `'simple'`, `'difference'`, `'helmert'`, `'repeated'` ali `'polynomial'`"
            ],
            "a list of lists specifying the pairs of measurement in `data`": [
                "seznam, ki določa pare meritev med podatki `data`"
            ],
            "a list of lists specifying the residual covariances that need to be estimated": [
                ""
            ],
            "a list of lists specifying the variables for which the estimated marginal means need to be calculate. Supports up to three variables per term.": [
                ""
            ],
            "a list of lists, where each list decribes a repeated measure (as a string) from `data` defined as `measure` and the particular combination of levels from `rm` that it belongs to (as a vector of strings) defined as `cell`": [
                ""
            ],
            "a list of lists, where each list describes the `label` (as a string) and the `levels` (as vector of strings) of a particular repeated measures factor": [
                ""
            ],
            "A low p-value suggests a violation of the assumption of equal variances": [
                "Nizka p-vrednost kaže na kršitev predpostavke enakih varianc"
            ],
            "A low p-value suggests a violation of the assumption of normality": [
                "Nizka p-vrednost kaže na kršitev predpostavke normalnosti"
            ],
            "A nice correlation data set": [
                "Zanimiv podatkovni nabor za določanje korelacij"
            ],
            "a number (default: 0.1), highlight values in the `'corRes'` table above this value": [
                "število (privzeto: 0.1), ki določa spodnjo mejo za poudarjanje vrednosti v razpredelnici `'corRes'`"
            ],
            "a number (default: 0.3), hide factor loadings below this value": [
                "število (privzeto: 0.3), ki določa spodnjo mejo za prikazovanje uteži faktorjev"
            ],
            "a number (default: 0.3), hide loadings below this value": [
                "število (privzeto: 0.3), ki določa spodnjo mejo za prikazovanje uteži"
            ],
            "a number (default: 0.5), the value for the null hypothesis": [
                "število (privzeto: 0,5), ki določa ničto hipotezo"
            ],
            "a number (default: 0), the minimal eigenvalue for a factor to be included in the model": [
                "število (privzeto: 0), ki določa najmanjšo lastno vrednost faktorja, ki bo vključena v model"
            ],
            "a number (default: 1), the beta prior 'a' parameter": [
                ""
            ],
            "a number (default: 1), the beta prior 'b' parameter": [
                ""
            ],
            "a number (default: 1), the minimal eigenvalue for a component to be included in the model": [
                "število (privzeto: 1), ki določa najmanjšo lastno vrednost komponente, ki bo vključena v model"
            ],
            "a number (default: 3), highlight values in the `'modIndices'` tables above this value": [
                "število (privzeto: 3), ki določa spodnjo mejo za poudarjanje vrednosti"
            ],
            "a number between 0.01 and 2 (default 0.707), the prior width to use in calculating Bayes factors": [
                ""
            ],
            "a number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors": [
                "število med 0,5 in 2 (privzeto 0,707), ki določa predhodno širino za izračunavanje Bayesovih faktorjev"
            ],
            "a number between 0.5 and 2.0 (default 0.707), the prior width to use in calculating Bayes factors": [
                "število med 0,5 in 2,0 (privzeto 0,707), ki določa predhodno širino za izračunavanje Bayesovih faktorjev"
            ],
            "a number between 50 and 99.9 (default: 95) specifying the confidence interval width": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino intervala zaupanja"
            ],
            "a number between 50 and 99.9 (default: 95) specifying the confidence interval width for the estimated marginal means": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino intervala zaupanja, uporabljenega za oceno robnih povprečij"
            ],
            "a number between 50 and 99.9 (default: 95) specifying the confidence interval width that is used as `'ci'`": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino intervala zaupanja, uporabljenega kot `'ci'`"
            ],
            "a number between 50 and 99.9 (default: 95), the confidence interval width": [
                "število med 50 in 99,9 (privzeto 95), širina intervala zaupanja"
            ],
            "a number between 50 and 99.9 (default: 95), the credible interval width": [
                "število med 50 in 99,9 (privzeto 95), ki določa verodostojno širino zahtevala"
            ],
            "a number between 50 and 99.9 (default: 95), the width of confidence intervals": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino zahtevanih intervalov zaupanja"
            ],
            "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the effect sizes": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino zahtevanih intervalov zaupanja za učinke velikosti"
            ],
            "a number between 50 and 99.9 (default: 95), the width of confidence intervals for the post-hoc effect sizes": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino zahtevanih intervalov zaupanja za učinke velikosti post-hoc"
            ],
            "a number between 50 and 99.9 (default: 95), the width of confidence intervals to provide": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino zahtevanih intervalov zaupanja"
            ],
            "a number between 50 and 99.9 (default: 95), width of the confidence intervals to provide": [
                "število med 50 in 99,9 (privzeto 95), ki določa širino zahtevanega intervala zaupanja"
            ],
            "a number specifying the value of the null hypothesis": [
                "število, ki določa vrednost ničte hipoteze"
            ],
            "a parameter": [
                "parameter"
            ],
            "a possible value of `'d'`; provide cohen's d measure of effect size for the post-hoc tests": [
                "predvidena vrednost `'d'`; omogoči izračun Cohenove d velikosti učinka post-hoc preizkusov"
            ],
            "a post-hoc table": [
                "razpredelnica post-hoc"
            ],
            "a proportions table": [
                "razpredelnica sorazmernih deležev"
            ],
            "a q-q plot": [
                "diagram normale Q-Q"
            ],
            "A repeated measures ANOVA data set": [
                "Podatkovni nabor za metodo ANOVA s ponavljajočimi meritvami"
            ],
            "a string (default: 'Dependent') describing the label used for the dependent variable throughout the analysis": [
                "niz (privzeto: 'odvisna') za opis oznake, uporabljene kot odvisno spremenljivko med analizo"
            ],
            "a string naming a variable in `data` containing counts, or NULL if each row represents a single observation": [
                "niz za poimenovanje odvisne spremenljivke med `podatki`, ki vsebuje števce, ali prazno vrednost, če vsaka vrstica pomeni eno opazovanje"
            ],
            "a string naming the dependent variable from `data`, variable must be a factor": [
                "niz za poimenovanje odvisne spremenljivke med `podatki`, spremenljivka mora faktor"
            ],
            "a string naming the dependent variable from `data`, variable must be numeric": [
                "niz za poimenovanje odvisne spremenljivke med `podatki`, spremenljivka mora biti številska"
            ],
            "a string naming the dependent variable in `data`": [
                "niz za poimenovanje odvisne spremenljivke med `podatki`"
            ],
            "a string naming the dependent variables in `data`": [
                "niz za poimenovanje odvisnih spremenljivk med `podatki`"
            ],
            "a string naming the grouping or independent variable in `data`": [
                "niz za poimenovanje združevalne ali neodvisne spremenljivke med `podatki`"
            ],
            "a summary of the groups": [
                "povzetek skupin"
            ],
            "a table containing estimated marginal means": [
                "razpredelnica z napovedjo robnih povprečnih vrednosti"
            ],
            "a table containing factor covariances estimates": [
                "razpredelnica z napovedjo kovarianc faktorja"
            ],
            "a table containing factor intercept estimates": [
                ""
            ],
            "a table containing fit measures": [
                "razpredelnica z izračuni skladnosti"
            ],
            "a table containing modification indices for the factor loadings not included in the model": [
                ""
            ],
            "a table containing modification indices for the residual covariances not included in the model": [
                ""
            ],
            "a table containing residual covariances estimates": [
                "razpredelnica z napovedjo kovarianc ostankov"
            ],
            "a table containing residual intercept estimates": [
                ""
            ],
            "a table containing residuals for the observed correlation matrix": [
                ""
            ],
            "a table containing the chi-square test for exact fit": [
                "razpredelnica s statistiko hi-kvadrat natančne skladnosti"
            ],
            "a table containing the collinearity statistics": [
                "razpredelnica s statistiko kolinearnosti"
            ],
            "a table containing the descriptives": [
                "razpredelnica z izračuni opisne statistike"
            ],
            "a table containing the factor loadings": [
                "razpredelnica z utežmi faktorjev"
            ],
            "a table containing the group descriptives": [
                "razpredelnica z izračuni opisne statistike skupine"
            ],
            "a table containing the homogeneity of variances tests": [
                ""
            ],
            "a table containing the normality test results": [
                "razpredelnica z rezultati preizkusa normalnosti"
            ],
            "a table containing the normality tests": [
                "razpredelnica z rezultati preizkusov normalnosti"
            ],
            "a table containing the results from the Box-Tidwell test": [
                "razpredelnica z rezultati Box-Tidwellovega testa"
            ],
            "a table containing the t-test results": [
                "razpredelnica z rezultati T-Testa"
            ],
            "a table of ANCOVA results": [
                "razpredelnica z rezultati analize ANCOVA"
            ],
            "a table of ANOVA results": [
                "razpredelnica z rezultati analize ANOVA"
            ],
            "a table of comparative measures": [
                ""
            ],
            "a table of homogeneity of variances tests": [
                "razpredelnica z rezultati preizkusa homogenosti varianc"
            ],
            "a table of homogeneity tests": [
                "razpredelnica z rezultati preizkusov homogenosti"
            ],
            "a table of likelihood ratio tests": [
                "razpredelnica z rezultati preizkusa verjetij"
            ],
            "a table of model coefficient thresholds": [
                "razpredelnica s pražnimi vrednostmi koeficienta modela"
            ],
            "a table of model coefficients": [
                "razpredelnica s koeficienti modela"
            ],
            "a table of normality tests": [
                "razpredelnica z rezultati preizkusov normalnosti"
            ],
            "a table of predicted classifications": [
                ""
            ],
            "a table of predictive measures": [
                ""
            ],
            "a table of proportions": [
                "razpredelnica sorazmernih deležev"
            ],
            "a table of test results": [
                "razpredelnica z rezultati preizkusa"
            ],
            "a table of the 'nominal' test results": [
                "razpredelnica z rezultati 'nominalnih' preizkusov"
            ],
            "a table of the descriptive statistics": [
                "razpredelnica z izračuni opisne statistike"
            ],
            "a table of the Friedman test results": [
                "razpredelnica z rezultati Friedmanovega preizkusa"
            ],
            "a table of the gamma test results": [
                "razpredelnica z rezultati preizkusa gama"
            ],
            "a table of the Kendall's tau-b test results": [
                "razpredelnica z rezultati Kendallovega Tau-B preizkusa"
            ],
            "a table of the Mantel-Haenszel test for trend": [
                "razpredelnica z rezultati Mantel-Haenszelovega preizkusa trenda"
            ],
            "a table of the pairwise comparisons": [
                "razpredelnica z rezultati parnih primerjav"
            ],
            "a table of the proportions": [
                "razpredelnica sorazmernih deležev"
            ],
            "a table of the proportions and test results": [
                "razpredelnica sorazmernih deležev in rezultatov testa"
            ],
            "a table of the test results": [
                "razpredelnica z rezultati preizkusa"
            ],
            "a table of χ² test results": [
                "razpredelnica z rezultati preizkusa χ²"
            ],
            "a vector containing strings naming the varibales that are reverse scaled": [
                "vektor z nizi imen spremenljivk, katerih lestvica je vrednostno obrnjena"
            ],
            "a vector of numbers: the expected proportions": [
                "vektor števil: pričakovani sorazmerni deleži"
            ],
            "a vector of strings naming the between subjects factors from `data`": [
                "vektor nizov z imeni faktorjev med predmeti za podatkovno zbirko `data`"
            ],
            "a vector of strings naming the control variables in `data`": [
                "vektor nizov z imeni kontrolnih spremenljivk za podatkovno zbirko `data`"
            ],
            "a vector of strings naming the covariates from `data`": [
                "vektor nizov z imeni kovariat za podatkovno zbirko `data`"
            ],
            "a vector of strings naming the covariates from `data`. Variables must be numeric": [
                "vektor nizov z imeni kovariat za podatkovno zbirko `data` – spremenljivke morajo biti numerične vrednosti"
            ],
            "a vector of strings naming the factors from `data`": [
                "vektor nizov z imeni faktorjev za podatkovno zbirko `data`"
            ],
            "a vector of strings naming the fixed factors from `data`": [
                "vektor nizov z imeni faktorjev stalne faktorje v podatkovni zbirki `data`"
            ],
            "a vector of strings naming the repeated measures variables": [
                "vektor nizov z imeni spremenljivk, uporabljenih za spremenljivke ponovljenih meritev"
            ],
            "a vector of strings naming the variables of interest in `data`": [
                "vektor nizov z imeni spremenljivk zanimanja za podatkovno zbirko `data`"
            ],
            "a vector of strings naming the variables to correlate in `data`": [
                "vektor nizov z imeni spremenljivk korelacije za podatkovno zbirko `data`"
            ],
            "a vector of strings naming the variables used to split `vars`": [
                "vektor nizov z imeni spremenljivk, uporabljenih za razdelitev spremenljivk `vars`"
            ],
            "Accuracy": [
                "Natančnost"
            ],
            "Add New Block": [
                "Dodaj nov blok"
            ],
            "Add New Factor": [
                "Dodaj nov faktor"
            ],
            "Add New Term": [
                "Dodaj nov pogoj"
            ],
            "Additional Options": [
                "Dodatne možnosti"
            ],
            "Additional Output": [
                "Dodaten izpis"
            ],
            "Additional Statistics": [
                "Dodatna statistika"
            ],
            "Adjusted R²": [
                "Prilagojen R²"
            ],
            "AIC": [
                "Kriterij AIC"
            ],
            "All observations are tied": [
                "Vsa opažanja so povezana"
            ],
            "Alternative hypothesis": [
                "Alternativna hipoteza"
            ],
            "an array of contrasts tables": [
                "izpis razpredelnic kontrastov"
            ],
            "an array of descriptive plots": [
                "izris diagramov opisne statistike"
            ],
            "an array of extreme values tables": [
                ""
            ],
            "an array of frequency tables": [
                "izris frekvenčnih razpredelnic"
            ],
            "an array of groups of plots": [
                "izris skupin diagramov"
            ],
            "an array of model specific results": [
                ""
            ],
            "an array of pairwise comparison tables": [
                "izpis razpredelnic primerjav parjenih izračunov"
            ],
            "an array of post-hoc tables": [
                "izpis razpredelnic izračunov post-hoc"
            ],
            "an array of Q-Q plots": [
                "izrisi diagramov Q–Q"
            ],
            "an array of the descriptive plots": [
                "izris diagramov opisne statistike"
            ],
            "an array of the estimated marginal means plots + tables": [
                ""
            ],
            "an array of the posterior plots": [
                ""
            ],
            "an image containing the model path diagram": [
                ""
            ],
            "an image of the descriptive plots": [
                "slikovni izpis diagramov opisne statistike"
            ],
            "an integer (default: 1), the number of components in the model": [
                "število (privzeto: 1), ki določa število komponent modela"
            ],
            "an integer (default: 1), the number of factors in the model": [
                "število (privzeto: 1), ki določa število faktorjev modela"
            ],
            "an integer (default: 4) specifying the number of equal groups": [
                "število (privzeto: 4), ki določa število enakih skupin"
            ],
            "an integer (default: 5) specifying the number of extreme values": [
                ""
            ],
            "An uninspiring ANOVA data set": [
                "Pretežno nezanimiv nabor podatkov za analizo ANOVA"
            ],
            "Analyses bundled with jamovi": [
                "Analize vključene v program jamovi"
            ],
            "ANCOVA": [
                "Analiza ANCOVA"
            ],
            "Anderson & Rubin": [
                "Anderson in Rubin"
            ],
            "Anderson's Iris Data": [
                "Podatki: Andersonovi podatki Iris"
            ],
            "ANOVA": [
                "Analiza ANOVA"
            ],
            "ANOVA test": [
                "Test ANOVA"
            ],
            "As there are no between subjects factors specified this assumption is always met.": [
                "Ker ni opredeljenih faktorjev med predmeti, je ta predpostavka vedno izpolnjena."
            ],
            "Assume equal (Fisher's)": [
                "Privzemi enakost (Fisherjev test)"
            ],
            "Assumption Checks": [
                "Preverjanje napovedi"
            ],
            "Assumptions": [
                "Napovedi"
            ],
            "At least one variable must have two levels": [
                "Vsaj ena spremenljivka mora imeti 2 ravni"
            ],
            "AUC": [
                "Polje pod krivuljo (AUC)"
            ],
            "Autocorrelation": [
                "Samokorelacija"
            ],
            "Autocorrelation test": [
                "Test samokorelacije"
            ],
            "Available for 2x2 tables only": [
                "Na voljo le za razpredelnice 2x2"
            ],
            "b parameter": [
                "parameter b"
            ],
            "Bar Plot": [
                "Stolpčni diagram"
            ],
            "Bar plot": [
                "Stolpčni diagram"
            ],
            "Bar Plots": [
                "Stolpčni diagrami"
            ],
            "Bar Type": [
                "Vrsta stolpčnega diagrama"
            ],
            "Bartlett": [
                "Bartlettov test"
            ],
            "Bartlett's Test of Sphericity": [
                "Bartlettov test sferičnosti"
            ],
            "Bartlett's test of sphericity": [
                "Bartlettov test sferičnosti"
            ],
            "Based on eigenvalue": [
                "Na osnovi lastne vrednosti"
            ],
            "Based on parallel analysis": [
                "Na osnovi paralelne analize"
            ],
            "Bayes factor": [
                "Bayesov faktor"
            ],
            "Bayes factor₁₀": [
                "Bayesov faktor₁₀"
            ],
            "Bayesian Statistics": [
                "Bayesova statistika"
            ],
            "beta 'a' parameter": [
                "beta 'a' parameter"
            ],
            "beta 'b' parameter": [
                "beta 'b' parameter"
            ],
            "Between Subject Factors": [
                "Faktorji med primeri"
            ],
            "Between Subjects Components": [
                "Komponente med primeri"
            ],
            "Between Subjects Effects": [
                "Učinki med primeri"
            ],
            "BIC": [
                "Kriterij BIC"
            ],
            "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)": [
                "Podatki: Velikih 5 (Dolan, Oort, Stoel in Wicherts, 2009)"
            ],
            "Binomial": [
                "Binomska porazdelitev"
            ],
            "Binomial Logistic Regression": [
                "Binomska logistična regresija"
            ],
            "Binomial Test": [
                "Binomski test"
            ],
            "Binomial test": [
                "Binomski test"
            ],
            "Block {0}": [
                "Blok {0}"
            ],
            "Block 1": [
                "Blok 1"
            ],
            "Blocks": [
                "Bloki"
            ],
            "Bonferroni": [
                "Bonferronijev popravek"
            ],
            "Box plot": [
                "Vretenasti diagram"
            ],
            "Box Plots": [
                "Vretenasti diagrami"
            ],
            "Box-Tidwell test": [
                "Box-Tidwellov test"
            ],
            "Box-Tidwell Test for Linearity of the Logit": [
                "Box-Tidwellov test linearnosti funkcije Logit"
            ],
            "Box's Homogeneity of Covariance Matrices Test": [
                "Boxov test homogenosti kovarianc matrik"
            ],
            "Box's M test": [
                "Boxov M test"
            ],
            "Box's M test for homogeneity of covariance matrices": [
                "Boxov M test homogenosti kovarianc matrik"
            ],
            "Bugs (Ryan, Wilde & Crist, 2013)": [
                "Podatki: Hrošči (Ryan, Wilde in Crist, 2013)"
            ],
            "Cells": [
                "Celice"
            ],
            "Central Tendency": [
                "Sredinjska simetrija"
            ],
            "CFI": [
                "Index CFI"
            ],
            "Chi-Square Quantiles": [
                "Kvantili Hi-kvadrat"
            ],
            "CI Lower": [
                "Spodnji IZ"
            ],
            "CI Upper": [
                "Zgornji IZ"
            ],
            "Classification Table": [
                "Klasifikacijska razpredelnica"
            ],
            "Classification table": [
                "Klasifikacijska razpredelnica"
            ],
            "Classification Table – {dep}": [
                "Klasifikacijska razpredelnica – {dep}"
            ],
            "Cohen's d": [
                "Cohenov d"
            ],
            "Collinearity Statistics": [
                "Statistika kolinearnosti"
            ],
            "Collinearity statistics": [
                "Statistika kolinearnosti"
            ],
            "Column": [
                "Stolpec"
            ],
            "Column variable '{var}' contains fewer than 2 levels": [
                "Stolpec spremenljivke »{var}« vsebuje manj kot 2 ravni"
            ],
            "Columns": [
                "Stolpci"
            ],
            "columns": [
                "stolpci‧"
            ],
            "Columns compared": [
                "Primerjani stolpci"
            ],
            "Comparative Measures": [
                "Mere primerjave"
            ],
            "Comparative Measures (2x2 only)": [
                "Mere primerjave (le 2x2)"
            ],
            "Compare": [
                "Primerjaj"
            ],
            "Comparison": [
                "Primerjava"
            ],
            "Comparisons are based on estimated marginal means": [
                "Primerjave so utemeljene na oceni robnih povprečnih vrednosti"
            ],
            "Component": [
                "Komponenta"
            ],
            "Component correlations": [
                "Korelacije komponent"
            ],
            "Component Loadings": [
                "Uteži komponente"
            ],
            "Component scores": [
                ""
            ],
            "Component Statistics": [
                "Statistika komponent"
            ],
            "Component summary": [
                "Povzetek komponent"
            ],
            "component(s)": [
                ""
            ],
            "Components": [
                "Komponente"
            ],
            "components": [
                "komponente"
            ],
            "Confidence Interval": [
                "Interval zaupanja"
            ],
            "Confidence interval": [
                "Interval zaupanja"
            ],
            "Confidence interval for Mean": [
                "Interval zaupanja za povprečno vrednost"
            ],
            "Confidence interval width": [
                "Širina intervala zaupanja"
            ],
            "Confidence Intervals": [
                "Intervali zaupanja"
            ],
            "Confidence intervals": [
                "Intervali zaupanja"
            ],
            "Confidence level": [
                "Raven zaupanja"
            ],
            "Confirmatory Factor Analysis": [
                "Potrjevalna faktorska analiza"
            ],
            "Constraints": [
                "Omejitve"
            ],
            "Contingency coefficient": [
                "Kontingenčni koeficient"
            ],
            "Contingency Tables": [
                "Kontingenčne razpredelnice"
            ],
            "Contrasts": [
                "Kontrasti"
            ],
            "Contrasts - $key": [
                "Kontrasti – $key"
            ],
            "Control Variables": [
                "Kontrolne spremenljivke"
            ],
            "Control variables": [
                "Kontrolne spremenljivke"
            ],
            "controlling for {items}": [
                ""
            ],
            "Cook's Distance": [
                "Cookova razdalja"
            ],
            "Cook's distance": [
                "Cookova razdalja"
            ],
            "Correction": [
                "Popravek"
            ],
            "Corrections": [
                "Popravki"
            ],
            "Correlated": [
                "Nedoločena korelacija"
            ],
            "Correlated negatively": [
                "Negativna korelacija"
            ],
            "Correlated positively": [
                "Pozitivna korelacija"
            ],
            "Correlation": [
                "Korelacija"
            ],
            "Correlation Coefficients": [
                "Korelacijski koeficienti"
            ],
            "Correlation Heatmap": [
                "Korelacijska mreža"
            ],
            "Correlation heatmap": [
                "Korelacijska matrika"
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.": [
                "Korelacijske matrike so način za preučevanje linearnih povezav\nmed dvema ali več zveznimi spremenljivkami."
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.\n\nFor each pair of variables, a Pearson's r value indicates the strength\nand direction of the relationship between those two variables. A\npositive value indicates a positive relationship (higher values of one\nvariable predict higher values of the other variable). A negative\nPearson's r indicates a negative relationship (higher values of one\nvariable predict lower values of the other variable, and vice-versa).\nA value of zero indicates no relationship (whether a variable is high\nor low, does not tell us anything about the value of the other\nvariable).\n\nMore formally, it is possible to test the null hypothesis that the\ncorrelation is zero and calculate a p-value. If the p-value is low, it\nsuggests the correlation co-efficient is not zero, and there is a linear\n(or more complex) relationship between the two variables.": [
                "Korelacijske matrike so način za preučevanje linearnih povezav\nmed dvema ali več zveznimi spremenljivkami.\n\nPearsonov R pokaže za vsak par spremenljivk velikost in smer\npovezave med njima. Pozitivna vrednost pomeni pozitivno razmerje\n(višje vrednosti ene spremenljivke napovedujejo višje vrednosti\ndruge). Negativna vrednost kaže negativno razmerje (višje vrednosti\nene napovedujejo nižje vrednosti druge spremenljivke in obratno).\nVrednost 0 pomeni, da ni povezave (visoka ali nizka vrednost prve ne\npove ničesar o vrednosti druge spremenljivke).\n\nFormalno je mogoče ničelno hipotezo preveriti po p-vrednosti, če je\nkorelacija enaka 0. Če je p-vrednost nizka, kaže, da korelacijski koeficient\nni enak nič in obstaja linearno (ali kako bolj zapleteno) razmerje med\nspremenljivkama."
            ],
            "Correlation Matrix": [
                "Korelacijska matrika"
            ],
            "Correlation matrix": [
                "Korelacijska matrika"
            ],
            "Correlation Type": [
                "Vrsta korelacije"
            ],
            "Correlation type": [
                "Vrsta korelacije"
            ],
            "Count": [
                "Števec"
            ],
            "Counts": [
                "Števci"
            ],
            "Counts (optional)": [
                "Števci (izbirno)"
            ],
            "Counts may not be infinite": [
                "Števci ne morejo biti neskončni"
            ],
            "Counts may not be negative": [
                "Števci ne morejo biti negativni"
            ],
            "Counts must be non-negative and finite": [
                "Števci morajo biti končni in ne-negativni"
            ],
            "Covariates": [
                "Kovariati"
            ],
            "Cox & Snell's R²": [
                "Cox-Snellov R²"
            ],
            "Cramer's V": [
                "Cramerjev V"
            ],
            "Credible Interval": [
                ""
            ],
            "Credible intervals": [
                ""
            ],
            "Cronbach's α": [
                "Cronbach α"
            ],
            "Cronbach's α (if item is dropped)": [
                "Cronbach α (če je predmet izpuščen)"
            ],
            "cubic": [
                ""
            ],
            "Cumulative %": [
                "Zbirni %"
            ],
            "Cut point values": [
                "Vrednosti točk prereza"
            ],
            "Cut points for": [
                "Točke prereza za"
            ],
            "Cut-Off": [
                "Prerez"
            ],
            "Cut-Off Plot": [
                "Diagram Prereza"
            ],
            "Cut-off plot": [
                "Diagram prereza"
            ],
            "Cut-off value": [
                "Vrednost prereza"
            ],
            "dat <- data.frame(\n    `1st survey` = c('Approve', 'Approve', 'Disapprove', 'Disapprove'),\n    `2nd survey` = c('Approve', 'Disapprove', 'Approve', 'Disapprove'),\n    `Counts` = c(794, 150, 86, 570),\n    check.names=FALSE)\n\ncontTablesPaired(formula = Counts ~ `1st survey`:`2nd survey`, data = dat)\n\n#\n#  PAIRED SAMPLES CONTINGENCY TABLES\n#\n#  Contingency Tables\n#  ────────────────────────────────────────────────\n#    1st survey    Approve    Disapprove    Total\n#  ────────────────────────────────────────────────\n#    Approve           794           150      944\n#    Disapprove         86           570      656\n#    Total             880           720     1600\n#  ────────────────────────────────────────────────\n#\n#\n#  McNemar Test\n#  ─────────────────────────────────────────────────────\n#                                Value    df    p\n#  ─────────────────────────────────────────────────────\n#    χ²                           17.4     1    < .001\n#    χ² continuity correction     16.8     1    < .001\n#  ─────────────────────────────────────────────────────\n#\n\n\n# Alternatively, omit the left of the formula (`Counts`) from the\n# formula if each row represents a single observation:\n\ncontTablesPaired(formula = ~ `1st survey`:`2nd survey`, data = dat)": [
                ""
            ],
            "dat <- data.frame(x=c(8, 15))\n\npropTest2(dat, vars = x, areCounts = TRUE)\n\n#\n#  PROPORTION TEST (2 OUTCOMES)\n#\n#  Binomial Test\n#  ───────────────────────────────────────────────────────\n#         Level    Count    Total    Proportion    p\n#  ───────────────────────────────────────────────────────\n#    x    1            8       23         0.348    0.210\n#         2           15       23         0.652    0.210\n#  ───────────────────────────────────────────────────────\n#    Note. Hₐ is proportion ≠ 0.5\n#": [
                ""
            ],
            "Data": [
                "Podatki"
            ],
            "data <- lavaan::HolzingerSwineford1939\n\njmv::cfa(\n    data = data,\n    factors = list(\n        list(label=\"Visual\", vars=c(\"x1\", \"x2\", \"x3\")),\n        list(label=\"Textual\", vars=c(\"x4\", \"x5\", \"x6\")),\n        list(label=\"Speed\", vars=c(\"x7\", \"x8\", \"x9\"))),\n    resCov = NULL)\n\n#\n#  CONFIRMATORY FACTOR ANALYSIS\n#\n#  Factor Loadings\n#  ─────────────────────────────────────────────────────────────────\n#    Factor     Indicator    Estimate    SE        Z        p\n#  ─────────────────────────────────────────────────────────────────\n#    Visual     x1              0.900    0.0832    10.81    < .001\n#               x2              0.498    0.0808     6.16    < .001\n#               x3              0.656    0.0776     8.46    < .001\n#    Textual    x4              0.990    0.0567    17.46    < .001\n#               x5              1.102    0.0626    17.60    < .001\n#               x6              0.917    0.0538    17.05    < .001\n#    Speed      x7              0.619    0.0743     8.34    < .001\n#               x8              0.731    0.0755     9.68    < .001\n#               x9              0.670    0.0775     8.64    < .001\n#  ─────────────────────────────────────────────────────────────────\n#\n#\n#  FACTOR ESTIMATES\n#\n#  Factor Covariances\n#  ──────────────────────────────────────────────────────────────\n#                          Estimate    SE        Z       p\n#  ──────────────────────────────────────────────────────────────\n#    Visual     Visual      1.000 ᵃ\n#               Textual     0.459      0.0635    7.22    < .001\n#               Speed       0.471      0.0862    5.46    < .001\n#    Textual    Textual     1.000 ᵃ\n#               Speed       0.283      0.0715    3.96    < .001\n#    Speed      Speed       1.000 ᵃ\n#  ──────────────────────────────────────────────────────────────\n#    ᵃ fixed parameter\n#\n#\n#  MODEL FIT\n#\n#  Test for Exact Fit\n#  ────────────────────────\n#    χ²      df    p\n#  ────────────────────────\n#    85.3    24    < .001\n#  ────────────────────────\n#\n#\n#  Fit Measures\n#  ───────────────────────────────────────────────\n#    CFI      TLI      RMSEA     Lower     Upper\n#  ───────────────────────────────────────────────\n#    0.931    0.896    0.0921    0.0714    0.114\n#  ───────────────────────────────────────────────\n#": [
                ""
            ],
            "Data Reduction": [
                "Zmanjšanje podatkov"
            ],
            "Data set is currently unweighted": [
                ""
            ],
            "Data Summary": [
                "Povzetek podatkov"
            ],
            "data('birthwt', package='MASS')\n\ndat <- data.frame(\n            low = factor(birthwt$low),\n            age = birthwt$age,\n            bwt = birthwt$bwt)\n\nlogRegBin(data = dat, dep = low,\n          covs = vars(age, bwt),\n          blocks = list(list(\"age\", \"bwt\")),\n          refLevels = list(list(var=\"low\", ref=\"0\")))\n\n#\n#  BINOMIAL LOGISTIC REGRESSION\n#\n#  Model Fit Measures\n#  ───────────────────────────────────────\n#    Model    Deviance    AIC     R²-McF\n#  ───────────────────────────────────────\n#        1     4.97e-7    6.00     1.000\n#  ───────────────────────────────────────\n#\n#\n#  MODEL SPECIFIC RESULTS\n#\n#  MODEL 1\n#\n#  Model Coefficients\n#  ────────────────────────────────────────────────────────────\n#    Predictor    Estimate      SE          Z           p\n#  ────────────────────────────────────────────────────────────\n#    Intercept    2974.73225    218237.2      0.0136    0.989\n#    age            -0.00653       482.7    -1.35e-5    1.000\n#    bwt            -1.18532        87.0     -0.0136    0.989\n#  ────────────────────────────────────────────────────────────\n#    Note. Estimates represent the log odds of \"low = 1\"\n#    vs. \"low = 0\"\n#\n#": [
                ""
            ],
            "data('birthwt', package='MASS')\n\ndat <- data.frame(\n            race = factor(birthwt$race),\n            age = birthwt$age,\n            low = factor(birthwt$low))\n\nlogRegMulti(data = dat, dep = race,\n            covs = age, factors = low,\n            blocks = list(list(\"age\", \"low\")),\n            refLevels = list(\n                list(var=\"race\", ref=\"1\"),\n                list(var=\"low\", ref=\"0\")))\n\n#\n#  MULTINOMIAL LOGISTIC REGRESSION\n#\n#  Model Fit Measures\n#  ──────────────────────────────────────\n#    Model    Deviance    AIC    R²-McF\n#  ──────────────────────────────────────\n#        1         360    372    0.0333\n#  ──────────────────────────────────────\n#\n#\n#  MODEL SPECIFIC RESULTS\n#\n#  MODEL 1\n#\n#  Model Coefficients\n#  ───────────────────────────────────────────────────────────────\n#    race     Predictor    Estimate    SE        Z         p\n#  ───────────────────────────────────────────────────────────────\n#    2 - 1    Intercept      0.8155    1.1186     0.729    0.466\n#             age           -0.1038    0.0487    -2.131    0.033\n#             low:\n#             1 – 0          0.7527    0.4700     1.601    0.109\n#    3 - 1    Intercept      1.0123    0.7798     1.298    0.194\n#             age           -0.0663    0.0324    -2.047    0.041\n#             low:\n#             1 – 0          0.5677    0.3522     1.612    0.107\n#  ───────────────────────────────────────────────────────────────\n#\n#": [
                ""
            ],
            "data('bugs', package = 'jmv')\n\nanovaRM(\n    data = bugs,\n    rm = list(\n        list(\n            label = 'Frightening',\n            levels = c('Low', 'High'))),\n    rmCells = list(\n        list(\n            measure = 'LDLF',\n            cell = 'Low'),\n        list(\n            measure = 'LDHF',\n            cell = 'High')),\n    rmTerms = list(\n        'Frightening'))\n\n#\n#  REPEATED MEASURES ANOVA\n#\n#  Within Subjects Effects\n#  ───────────────────────────────────────────────────────────────────────\n#                  Sum of Squares    df    Mean Square    F       p\n#  ───────────────────────────────────────────────────────────────────────\n#    Frightening              126     1         126.11    44.2    < .001\n#    Residual                 257    90           2.85\n#  ───────────────────────────────────────────────────────────────────────\n#    Note. Type 3 Sums of Squares\n#\n#\n#\n#  Between Subjects Effects\n#  ─────────────────────────────────────────────────────────────────\n#                Sum of Squares    df    Mean Square    F    p\n#  ─────────────────────────────────────────────────────────────────\n#    Residual               954    90           10.6\n#  ─────────────────────────────────────────────────────────────────\n#    Note. Type 3 Sums of Squares\n#": [
                ""
            ],
            "data('bugs', package = 'jmv')\n\nanovaRMNP(bugs, measures = vars(LDLF, LDHF, HDLF, HDHF))\n\n#\n#  REPEATED MEASURES ANOVA (NON-PARAMETRIC)\n#\n#  Friedman\n#  ────────────────────────\n#    χ²      df    p\n#  ────────────────────────\n#    55.8     3    < .001\n#  ────────────────────────\n#": [
                ""
            ],
            "data('bugs', package = 'jmv')\n\nttestPS(bugs, pairs = list(\n        list(i1 = 'LDLF', i2 = 'LDHF')))\n\n#\n#  PAIRED SAMPLES T-TEST\n#\n#  Paired Samples T-Test\n#  ──────────────────────────────────────────────────────────────\n#                                   statistic    df      p\n#  ──────────────────────────────────────────────────────────────\n#    LDLF    LDHF    Student's t        -6.65    90.0    < .001\n#  ──────────────────────────────────────────────────────────────\n#": [
                ""
            ],
            "data('HairEyeColor')\ndat <- as.data.frame(HairEyeColor)\n\ncontTables(formula = Freq ~ Hair:Eye, dat)\n\n#\n#  CONTINGENCY TABLES\n#\n#  Contingency Tables\n#  ─────────────────────────────────────────────────────\n#    Hair     Brown    Blue    Hazel    Green    Total\n#  ─────────────────────────────────────────────────────\n#    Black       68      20       15        5      108\n#    Brown      119      84       54       29      286\n#    Red         26      17       14       14       71\n#    Blond        7      94       10       16      127\n#    Total      220     215       93       64      592\n#  ─────────────────────────────────────────────────────\n#\n#\n#  χ² Tests\n#  ───────────────────────────────\n#          Value    df    p\n#  ───────────────────────────────\n#    χ²      138     9    < .001\n#    N       592\n#  ───────────────────────────────\n#\n\n# Alternatively, omit the left of the formula (`Freq`) if each row\n# represents a single observation:\n\ncontTables(formula = ~ Hair:Eye, dat)": [
                ""
            ],
            "data('HairEyeColor')\ndat <- as.data.frame(HairEyeColor)\n\npropTestN(formula = Freq ~ Eye, data = dat, ratio = c(1,1,1,1))\n\n#\n#  PROPORTION TEST (N OUTCOMES)\n#\n#  Proportions\n#  ────────────────────────────────\n#    Level    Count    Proportion\n#  ────────────────────────────────\n#    Brown      220         0.372\n#    Blue       215         0.363\n#    Hazel       93         0.157\n#    Green       64         0.108\n#  ────────────────────────────────\n#\n#\n#  χ² Goodness of Fit\n#  ───────────────────────\n#    χ²     df    p\n#  ───────────────────────\n#    133     3    < .001\n#  ───────────────────────\n#": [
                ""
            ],
            "data('iris')\n\nefa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n\n#\n#  EXPLORATORY FACTOR ANALYSIS\n#\n#  Factor Loadings\n#  ────────────────────────────────────────────────\n#                    1        2        Uniqueness\n#  ────────────────────────────────────────────────\n#    Sepal.Length    0.993                0.10181\n#    Sepal.Width              0.725       0.42199\n#    Petal.Length    0.933                0.00483\n#    Petal.Width     0.897                0.07088\n#  ────────────────────────────────────────────────\n#    Note. 'oblimin' rotation was used\n#": [
                ""
            ],
            "data('iris')\n\nmancova(data = iris,\n    deps = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width),\n    factors = Species)\n\n#\n#  MANCOVA\n#\n#  Multivariate Tests\n#  ───────────────────────────────────────────────────────────────────────────\n#                                     value     F       df1    df2    p\n#  ───────────────────────────────────────────────────────────────────────────\n#    Species    Pillai's Trace          1.19    53.5      8    290    < .001\n#               Wilks' Lambda         0.0234     199      8    288    < .001\n#               Hotelling's Trace       32.5     581      8    286    < .001\n#               Roy's Largest Root      32.2    1167      4    145    < .001\n#  ───────────────────────────────────────────────────────────────────────────\n#\n#\n#  Univariate Tests\n#  ───────────────────────────────────────────────────────────────────────────────────────────────\n#                 Dependent Variable    Sum of Squares    df     Mean Square    F         p\n#  ───────────────────────────────────────────────────────────────────────────────────────────────\n#    Species      Sepal.Length                   63.21      2        31.6061     119.3    < .001\n#                 Sepal.Width                    11.34      2         5.6725      49.2    < .001\n#                 Petal.Length                  437.10      2       218.5514    1180.2    < .001\n#                 Petal.Width                    80.41      2        40.2067     960.0    < .001\n#    Residuals    Sepal.Length                   38.96    147         0.2650\n#                 Sepal.Width                    16.96    147         0.1154\n#                 Petal.Length                   27.22    147         0.1852\n#                 Petal.Width                     6.16    147         0.0419\n#  ───────────────────────────────────────────────────────────────────────────────────────────────\n#": [
                ""
            ],
            "data('iris')\n\npca(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))\n\n#\n#  PRINCIPAL COMPONENT ANALYSIS\n#\n#  Component Loadings\n#  ────────────────────────────────────────\n#                    1         Uniqueness\n#  ────────────────────────────────────────\n#    Sepal.Length     0.890        0.2076\n#    Sepal.Width     -0.460        0.7883\n#    Petal.Length     0.992        0.0168\n#    Petal.Width      0.965        0.0688\n#  ────────────────────────────────────────\n#    Note. 'varimax' rotation was used\n#": [
                ""
            ],
            "data('iris')\n\nreliability(iris, vars = c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width'),\n            omegaScale = TRUE)\n\n#\n#  RELIABILITY ANALYSIS\n#\n#  Scale Reliability Statistics\n#  ─────────────────────────────────────────\n#             Cronbach's α    McDonald's ω\n#  ─────────────────────────────────────────\n#    scale           0.708           0.848\n#  ─────────────────────────────────────────\n#": [
                ""
            ],
            "data('mtcars')\n\ncorrMatrix(mtcars, vars = vars(mpg, cyl, disp, hp))\n\n#\n#  CORRELATION MATRIX\n#\n#  Correlation Matrix\n#  ──────────────────────────────────────────────────────────────\n#                           mpg      cyl       disp      hp\n#  ──────────────────────────────────────────────────────────────\n#    mpg     Pearson's r        —    -0.852    -0.848    -0.776\n#            p-value            —    < .001    < .001    < .001\n#\n#    cyl     Pearson's r                  —     0.902     0.832\n#            p-value                      —    < .001    < .001\n#\n#    disp    Pearson's r                            —     0.791\n#            p-value                                —    < .001\n#\n#    hp      Pearson's r                                      —\n#            p-value                                          —\n#  ──────────────────────────────────────────────────────────────\n#": [
                ""
            ],
            "data('mtcars')\n\ncorrPart(mtcars, vars = vars(mpg, cyl, disp), controls = vars(hp))\n\n#\n#  PARTIAL CORRELATION\n#\n#  Partial Correlation\n#  ────────────────────────────────────────────────────\n#                           mpg       cyl       disp\n#  ────────────────────────────────────────────────────\n#    mpg     Pearson's r         —\n#            p-value             —\n#\n#    cyl     Pearson's r    -0.590         —\n#            p-value        < .001         —\n#\n#    disp    Pearson's r    -0.606     0.719        —\n#            p-value        < .001    < .001        —\n#  ────────────────────────────────────────────────────\n#    Note. controlling for 'hp'\n#": [
                ""
            ],
            "data('mtcars')\n\ntab <- table('gear'=mtcars$gear, 'cyl'=mtcars$cyl)\ndat <- as.data.frame(tab)\n\nlogLinear(data = dat, factors = vars(gear, cyl),  counts = Freq,\n          blocks = list(list(\"gear\", \"cyl\", c(\"gear\", \"cyl\"))),\n          refLevels = list(\n              list(var=\"gear\", ref=\"3\"),\n              list(var=\"cyl\", ref=\"4\")))\n\n#\n#  LOG-LINEAR REGRESSION\n#\n#  Model Fit Measures\n#  ───────────────────────────────────────\n#    Model    Deviance    AIC     R²-McF\n#  ───────────────────────────────────────\n#        1    4.12e-10    41.4     1.000\n#  ───────────────────────────────────────\n#\n#\n#  MODEL SPECIFIC RESULTS\n#\n#  MODEL 1\n#\n#  Model Coefficients\n#  ──────────────────────────────────────────────────────────────────\n#    Predictor          Estimate     SE          Z            p\n#  ──────────────────────────────────────────────────────────────────\n#    Intercept          -4.71e-16        1.00    -4.71e-16    1.000\n#    gear:\n#    4 – 3                  2.079        1.06        1.961    0.050\n#    5 – 3                  0.693        1.22        0.566    0.571\n#    cyl:\n#    6 – 4                  0.693        1.22        0.566    0.571\n#    8 – 4                  2.485        1.04        2.387    0.017\n#    gear:cyl:\n#    (4 – 3):(6 – 4)       -1.386        1.37       -1.012    0.311\n#    (5 – 3):(6 – 4)       -1.386        1.73       -0.800    0.423\n#    (4 – 3):(8 – 4)      -26.867    42247.17    -6.36e -4    0.999\n#    (5 – 3):(8 – 4)       -2.485        1.44       -1.722    0.085\n#  ──────────────────────────────────────────────────────────────────\n#\n#": [
                ""
            ],
            "data('mtcars')\ndat <- mtcars\n\n# frequency tables can be provided for factors\ndat$gear <- as.factor(dat$gear)\n\ndescriptives(dat, vars = vars(mpg, cyl, disp, gear), freq = TRUE)\n\n#\n#  DESCRIPTIVES\n#\n#  Descriptives\n#  ───────────────────────────────────────────\n#               mpg     cyl     disp    gear\n#  ───────────────────────────────────────────\n#    N            32      32      32      32\n#    Missing       0       0       0       0\n#    Mean       20.1    6.19     231    3.69\n#    Median     19.2    6.00     196    4.00\n#    Minimum    10.4    4.00    71.1       3\n#    Maximum    33.9    8.00     472       5\n#  ───────────────────────────────────────────\n#\n#\n#  FREQUENCIES\n#\n#  Frequencies of gear\n#  ────────────────────\n#    Levels    Counts\n#  ────────────────────\n#    3             15\n#    4             12\n#    5              5\n#  ────────────────────\n#\n\n# spliting by a variable\ndescriptives(formula = disp + mpg ~ cyl, dat,\n    median=F, min=F, max=F, n=F, missing=F)\n\n# providing histograms\ndescriptives(formula = mpg ~ cyl, dat, hist=T,\n    median=F, min=F, max=F, n=F, missing=F)\n\n# splitting by multiple variables\ndescriptives(formula = mpg ~ cyl:gear, dat,\n    median=F, min=F, max=F, missing=F)": [
                ""
            ],
            "data('Prestige', package='carData')\n\nlinReg(data = Prestige, dep = income,\n       covs = vars(education, prestige, women),\n       blocks = list(list('education', 'prestige', 'women')))\n\n#\n#  LINEAR REGRESSION\n#\n#  Model Fit Measures\n#  ───────────────────────────\n#    Model    R        R²\n#  ───────────────────────────\n#        1    0.802    0.643\n#  ───────────────────────────\n#\n#\n#  MODEL SPECIFIC RESULTS\n#\n#  MODEL 1\n#\n#\n#  Model Coefficients\n#  ────────────────────────────────────────────────────────\n#    Predictor    Estimate    SE         t         p\n#  ────────────────────────────────────────────────────────\n#    Intercept      -253.8    1086.16    -0.234     0.816\n#    women           -50.9       8.56    -5.948    < .001\n#    prestige        141.4      29.91     4.729    < .001\n#    education       177.2     187.63     0.944     0.347\n#  ────────────────────────────────────────────────────────\n#": [
                ""
            ],
            "data('ToothGrowth')\n\nancova(formula = len ~ supp + dose, data = ToothGrowth)\n\n#\n#  ANCOVA\n#\n#  ANCOVA\n#  ───────────────────────────────────────────────────────────────────────\n#                 Sum of Squares    df    Mean Square    F        p\n#  ───────────────────────────────────────────────────────────────────────\n#    supp                    205     1          205.4     11.4     0.001\n#    dose                   2224     1         2224.3    124.0    < .001\n#    Residuals              1023    57           17.9\n#  ───────────────────────────────────────────────────────────────────────\n#\n\nancova(\n    formula = len ~ supp + dose,\n    data = ToothGrowth,\n    postHoc = ~ supp,\n    emMeans = ~ supp)": [
                ""
            ],
            "data('ToothGrowth')\n\nANOVA(formula = len ~ dose * supp, data = ToothGrowth)\n\n#\n#  ANOVA\n#\n#  ANOVA\n#  ───────────────────────────────────────────────────────────────────────\n#                 Sum of Squares    df    Mean Square    F        p\n#  ───────────────────────────────────────────────────────────────────────\n#    dose                   2426     2         1213.2    92.00    < .001\n#    supp                    205     1          205.4    15.57    < .001\n#    dose:supp               108     2           54.2     4.11     0.022\n#    Residuals               712    54           13.2\n#  ───────────────────────────────────────────────────────────────────────\n#\n\nANOVA(\n    formula = len ~ dose * supp,\n    data = ToothGrowth,\n    emMeans = ~ supp + dose:supp, # est. marginal means for supp and dose:supp\n    emmPlots = TRUE,              # produce plots of those marginal means\n    emmTables = TRUE)             # produce tables of those marginal means": [
                ""
            ],
            "data('ToothGrowth')\n\nanovaNP(formula = len ~ dose, data=ToothGrowth)\n\n#\n#  ONE-WAY ANOVA (NON-PARAMETRIC)\n#\n#  Kruskal-Wallis\n#  ───────────────────────────────\n#           χ²      df    p\n#  ───────────────────────────────\n#    len    40.7     2    < .001\n#  ───────────────────────────────\n#": [
                ""
            ],
            "data('ToothGrowth')\n\nttestIS(formula = len ~ supp, data = ToothGrowth)\n\n#\n#  INDEPENDENT SAMPLES T-TEST\n#\n#  Independent Samples T-Test\n#  ────────────────────────────────────────────────────\n#                          statistic    df      p\n#  ────────────────────────────────────────────────────\n#    len    Student's t         1.92    58.0    0.060\n#  ────────────────────────────────────────────────────\n#": [
                ""
            ],
            "data('ToothGrowth')\n\nttestOneS(ToothGrowth, vars = vars(len, dose))\n\n#\n#  ONE SAMPLE T-TEST\n#\n#  One Sample T-Test\n#  ──────────────────────────────────────────────────────\n#                           statistic    df      p\n#  ──────────────────────────────────────────────────────\n#    len     Student's t         19.1    59.0    < .001\n#    dose    Student's t         14.4    59.0    < .001\n#  ──────────────────────────────────────────────────────\n#": [
                ""
            ],
            "data('ToothGrowth')\ndat <- ToothGrowth\ndat$dose <- factor(dat$dose)\n\nanovaOneW(formula = len ~ dose, data = dat)\n\n#\n#  ONE-WAY ANOVA\n#\n#  One-Way ANOVA (Welch's)\n#  ────────────────────────────────────────\n#           F       df1    df2     p\n#  ────────────────────────────────────────\n#    len    68.4      2    37.7    < .001\n#  ────────────────────────────────────────\n#": [
                ""
            ],
            "Densities for variables": [
                "Gostote spremenljivk"
            ],
            "Density": [
                "Diagram gostote"
            ],
            "Dependent": [
                "Odvisna"
            ],
            "Dependent Variable": [
                "Odvisna spremenljivka"
            ],
            "Dependent variable '{dep}' contains infinite values": [
                ""
            ],
            "Dependent variable '{dep}' contains no data (after removing rows with missing values)": [
                ""
            ],
            "Dependent variable '{dep}' contains only one unique value (after removing rows with missing values)": [
                ""
            ],
            "Dependent variable '{dep}' must be continuous": [
                ""
            ],
            "Dependent Variable Label": [
                "Oznaka odvisne spremenljivke"
            ],
            "Dependent Variables": [
                "Odvisne spremenljivke"
            ],
            "Dependent variables are very highly correlated": [
                ""
            ],
            "deprecated": [
                "opuščeno"
            ],
            "Descriptive Plot": [
                "Opisni izris"
            ],
            "Descriptive plot": [
                "Opisni izris"
            ],
            "Descriptives": [
                "Opisne statistike"
            ],
            "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests.": [
                "Opisne statistike so zbirka statističnih izračunov, ki povzemajo in predočijo značilnosti podatkov, vrednosti in porazdelitve. Običajno se pregled opisnih statistik pokaže kot dobra praksa pred poglobljenimi analizami."
            ],
            "descriptives plot": [
                "diagram opisne statistike"
            ],
            "Descriptives Plots": [
                "Opisni izrisi"
            ],
            "Descriptives plots": [
                "Opisni izrisi"
            ],
            "Descriptives Table": [
                "Razpredelnica opisne statistike"
            ],
            "Descriptives table": [
                "Razpredelnica opisne statistike"
            ],
            "Deviance": [
                "Odklonskost"
            ],
            "Deviation": [
                "Odklon"
            ],
            "df": [
                "df"
            ],
            "df1": [
                "df1"
            ],
            "df2": [
                "df2"
            ],
            "Difference": [
                "Razlika"
            ],
            "Difference in 2 proportions": [
                "Razlika dveh sorazmernih deležev"
            ],
            "Difference in proportions": [
                "Razlika sorazmernih deležev"
            ],
            "Dispersion": [
                "Razpršitev"
            ],
            "Distribution": [
                "Porazdelitev"
            ],
            "Don't assume equal (Welch's)": [
                "Ne privzemi enakosti (Welchev test)"
            ],
            "drag variable here": [
                "potegnite spremenljivko na to mesto"
            ],
            "drag variables here": [
                "potegnite spremenljivke na to mesto"
            ],
            "DSCF pairwise comparisons": [
                "Parna primerjava DSCF"
            ],
            "Durbin–Watson Test for Autocorrelation": [
                "Durbin-Watsonov test samokorelacije"
            ],
            "DW Statistic": [
                "Durbin–Watsonova statistika"
            ],
            "Dwass-Steel-Critchlow-Fligner pairwise comparisons": [
                "Dwass-Steel-Critchlow-Flignerjeva parna primerjava"
            ],
            "Effect Size": [
                "Velikost učinka"
            ],
            "Effect size": [
                "Velikost učinka"
            ],
            "Eigenvalue": [
                "Lastna vrednost"
            ],
            "Eigenvalues": [
                "Lastne vrednosti"
            ],
            "Eigenvalues greater than": [
                "Lastne vrednosti večje od"
            ],
            "Empty cells in between subject design: at least one combination of between subject factor levels has 0 observations": [
                ""
            ],
            "Equal cell weights": [
                "Enako utežene celice"
            ],
            "equal groups": [
                "enake skupine"
            ],
            "error %": [
                "% napake"
            ],
            "Error bars": [
                "Razpon napake"
            ],
            "Estimate": [
                "Ocena"
            ],
            "Estimate (Log Odds Ratio)": [
                "Napoved (logaritemsko razmerje obetov)"
            ],
            "Estimate (Log Rate Ratio)": [
                "Napoved (logaritemsko razmerje stopenj)"
            ],
            "Estimated Marginal Means": [
                "Ocenjena robna povprečja"
            ],
            "Estimated Marginal Means - {term}": [
                "Ocenjena robna povprečja – {term}"
            ],
            "Estimates": [
                "Ocene"
            ],
            "Estimates represent the log odds of …": [
                "Napoved predstavlja log razmerje obetov …"
            ],
            "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\"": [
                "Napoved predstavlja log razmerje obetov »{dep} = {level1}« napram »{dep} = {level2}«"
            ],
            "Estimation method": [
                "Metoda ocenjevanja"
            ],
            "Exclude cases analysis by analysis": [
                "Izloči primere analizo-po-analizo"
            ],
            "Exclude cases listwise": [
                "Izloči nepopolne primere"
            ],
            "Excluded": [
                "Izločeno"
            ],
            "Expected": [
                "Pričakovano"
            ],
            "Expected counts": [
                "Pričakovani števci"
            ],
            "Expected Proportions": [
                "Izločeni sorazmerni deleži"
            ],
            "Exploration": [
                "Raziskovanje"
            ],
            "Exploratory Factor Analysis": [
                "Eksploratorna faktorska analiza"
            ],
            "Extraction": [
                "Ekstrakcija"
            ],
            "Extreme values": [
                ""
            ],
            "Extreme Values": [
                ""
            ],
            "Extreme values of $key": [
                ""
            ],
            "F": [
                "F"
            ],
            "F test": [
                "F-Test"
            ],
            "F-statistic could not be calculated": [
                "F-statistike ni mogoče izračunati"
            ],
            "Factor": [
                "Faktor"
            ],
            "Factor '{factor}' has less than two levels. Factors must have at least two levels": [
                ""
            ],
            "Factor '{factor}' needs to have at least 2 levels": [
                "Faktor »{factor}« zahteva vsaj 2 ravni"
            ],
            "Factor '{factorName}' contains no data (after removing rows with missing values)": [
                ""
            ],
            "Factor '{factorName}' contains only a single level (after removing rows with missing values)": [
                ""
            ],
            "Factor '{factorName}' contains unused levels (after removing rows with missing values)": [
                ""
            ],
            "Factor {0}": [
                "Faktor {0}"
            ],
            "Factor 1": [
                "Faktor 1"
            ],
            "Factor correlations": [
                "Faktorske korelacije"
            ],
            "Factor Covariances": [
                "Faktor kovarianc"
            ],
            "Factor covariances": [
                "Faktorske kovariance"
            ],
            "Factor Estimates": [
                "Napovedi faktorja"
            ],
            "Factor Intercepts": [
                ""
            ],
            "Factor intercepts": [
                ""
            ],
            "Factor Loadings": [
                "Uteži faktorjev"
            ],
            "Factor Loadings – Modification Indices": [
                "Uteži faktorjev – indeksi sprememb"
            ],
            "Factor scores": [
                ""
            ],
            "Factor Statistics": [
                "Faktorska statistika"
            ],
            "Factor summary": [
                "Povzetek faktorja"
            ],
            "Factor variances = 1": [
                "Variance faktorja = 1"
            ],
            "factor(s)": [
                "faktorji"
            ],
            "Factors": [
                "Faktorji"
            ],
            "factors": [
                "faktorji"
            ],
            "Fisher's": [
                "Fisherjev test"
            ],
            "Fisher's exact test": [
                "Fisherjev natančni test"
            ],
            "Fit Measures": [
                "Lestvice skladnosti"
            ],
            "Fitted": [
                "Usklajeno"
            ],
            "Fixed Factors": [
                "Stalni faktorji"
            ],
            "Fixed number": [
                "Stalno število"
            ],
            "fixed parameter": [
                "nespremenljiv parameter"
            ],
            "Flag significant comparisons": [
                "Označi statistično značilne primerjave"
            ],
            "Flag significant correlations": [
                "Označi statistično značilne korelacije"
            ],
            "flag significant correlations (p < .05) with symbols.": [
                "označi statistično značilne korelacije (p < 0,05) s simboli."
            ],
            "flag significant post-hoc comparisons.": [
                "označi statistično značilne primerjave post-hoc."
            ],
            "Frequencies": [
                "Frekvence"
            ],
            "Frequencies of $key": [
                "Frekvence spremenljivke »$key«"
            ],
            "Frequency tables": [
                "Frekvenčne razpredelnice"
            ],
            "Friedman": [
                "Friedmanov test"
            ],
            "Full information maximum likelihood": [
                ""
            ],
            "Games-Howell (unequal variances)": [
                "Games-Howellov test (neenake variance)"
            ],
            "Games-Howell Post-Hoc Test – {dep}": [
                "Games-Howellov Post-Hoc Test – {dep}"
            ],
            "Gamma": [
                "Gama"
            ],
            "General Options": [
                "Splošne možnosti"
            ],
            "Generalised η²": [
                "Posplošeni η²"
            ],
            "Grand mean (simple coding)": [
                "Združeno povprečje (enostavno kodiranje)"
            ],
            "Greenhouse-Geisser": [
                "Greenhouse-Geisser"
            ],
            "Greenhouse-Geisser ε": [
                "Greenhouse-Geisserjev ε"
            ],
            "Group": [
                "Skupina"
            ],
            "Group 1": [
                "Skupina 1"
            ],
            "Group 1 < Group 2": [
                "Skupina 1 < Skupina 2"
            ],
            "Group 1 ≠ Group 2": [
                "Skupina 1 ≠ Skupina 2"
            ],
            "Group 1 > Group 2": [
                "Skupina 1 > Skupina 2"
            ],
            "Group 2": [
                "Skupina 2"
            ],
            "Group Descriptives": [
                "Opisne statistike skupine"
            ],
            "Group Summary": [
                "Povzetek skupine"
            ],
            "Group summary": [
                "Povzetek skupine"
            ],
            "Grouping Variable": [
                "Združevalna spremenljivka"
            ],
            "Grouping variable '{a}' has less than 2 levels after missing values are excluded": [
                "Združevalna spremenljivka »{a}« ima po izločitvi manjkajočih vrednosti manj kot 2 ravni"
            ],
            "Grouping variable '{a}' must have exactly 2 levels": [
                "Združevalna spremenljivka »{a}« mora imeti natanko 2 ravni"
            ],
            "Grouping variable '{a}' must not also be a dependent variable": [
                "Združevalna spremenljivka »{a}« ne sme biti tudi odvisna spremenljivka"
            ],
            "Hₐ is negative correlation": [
                "Hₐ pomeni negativno korelacijo"
            ],
            "Hₐ is positive correlation": [
                "Hₐ pomeni pozitivno korelacijo"
            ],
            "Hₐ is proportion {direction} {testValue}": [
                "Hₐ je sorazmerni delež {direction} {testValue}"
            ],
            "Haldane-Anscombe correction applied": [
                "Upoštevan je Haldane-Anscombeov popravek"
            ],
            "Harman": [
                "Harman‧"
            ],
            "Helmert": [
                "Helmertov model‧"
            ],
            "hidden": [
                ""
            ],
            "Hide loadings below": [
                "Skrij uteži pod"
            ],
            "Highlight values above": [
                "Poudari zgornje vrednosti"
            ],
            "Histogram": [
                "Histogram"
            ],
            "Histograms": [
                "Histogrami"
            ],
            "Holm": [
                "Holmov test"
            ],
            "Homogeneity of Variances Test (Levene's)": [
                "Levenov test enakosti varianc"
            ],
            "Homogeneity test": [
                "Test homogenosti"
            ],
            "Hotelling's Trace": [
                "Hotellingova sled"
            ],
            "Huynh-Feldt": [
                "Huynh-Feldt‧"
            ],
            "Huynh-Feldt ε": [
                "Huynh-Feldtov ε"
            ],
            "Hypothesis": [
                "Hipoteza"
            ],
            "If item dropped": [
                ""
            ],
            "in development": [
                "v razvoju"
            ],
            "include a summary of the groups": [
                "vključi povzetek skupin"
            ],
            "Independent Samples": [
                "Neodvisni vzorci"
            ],
            "Independent Samples T-Test": [
                "T-Test neodvisnih vzorcev"
            ],
            "Indicator": [
                "Kazalnik"
            ],
            "Initial Eigenvalues": [
                "Začetne lastne vrednosti"
            ],
            "Initial eigenvalues": [
                "Začetne lastne vrednosti"
            ],
            "Inter-Component Correlations": [
                "Med-komponentne korelacije"
            ],
            "Inter-Factor Correlations": [
                "Med-faktorske korelacije"
            ],
            "Intercept": [
                "Prestrezek"
            ],
            "Interval": [
                "Razmik"
            ],
            "IQR": [
                "Interkvartilni razmik (IQR)"
            ],
            "Item '{item}' consists of one level only": [
                "Predmet »{item}« vsebuje le eno raven"
            ],
            "Item '{item}' contains infinite values": [
                "Predmet »{item}« vsebuje neskončne vrednosti"
            ],
            "Item '{item}' contains only missing values": [
                "Predmet »{item}« vsebuje le manjkajoče vrednosti"
            ],
            "Item '{item}' has no variance": [
                "Predmet »{item}« je brez variance"
            ],
            "Item '{item}' needs to be numeric": [
                "Predmet »{item}« mora biti številska vrednost"
            ],
            "item {item} correlates negatively with the total scale and probably should be reversed": [
                "korelacija spremenljivke {item} s celotno lestvico je negativna in jo je verjetno treba obrniti"
            ],
            "Item Reliability Statistics": [
                "Statistika zanesljivosti postavk"
            ],
            "Item Statistics": [
                "Statistika postavk"
            ],
            "Item-rest correlation": [
                ""
            ],
            "Items": [
                "Predmeti"
            ],
            "items {items} correlate negatively with the total scale and probably should be reversed": [
                "korelacije spremenljivk {items} s celotno lestvico so negativne in jih je verjetno treba obrniti"
            ],
            "Jittered": [
                "Raztreseno"
            ],
            "Kendall's Tau B": [
                "Kendallov tau-B"
            ],
            "Kendall's Tau-B": [
                "Kendallov tau-B"
            ],
            "Kendall's Tau-b": [
                "Kendallov tau-b"
            ],
            "Kendall's tau-b": [
                "Kendallov tau-b"
            ],
            "KMO Measure of Sampling Adequacy": [
                "Kaiser-Meyer-Olkinova mera primernosti vzorčenja"
            ],
            "KMO measure of sampling adequacy": [
                "Kaiser-Meyer-Olkinova mera primernosti vzorčenja"
            ],
            "Kruskal-Wallis": [
                "Kruskal-Wallisov H"
            ],
            "Kurtosis": [
                "Sploščenost"
            ],
            "Label outliers": [
                ""
            ],
            "Layers": [
                "Plasti"
            ],
            "Level": [
                "Raven"
            ],
            "Level 1": [
                "Raven 1"
            ],
            "Level 2": [
                "Raven 2"
            ],
            "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances": [
                "Levenov test je statistično značilen (p < 0.05), kar kaže na kršitev predpostavke enakih varianc"
            ],
            "Likelihood": [
                "Razmerje verjetij"
            ],
            "Likelihood ratio": [
                "Razmerje verjetij"
            ],
            "Likelihood ratio tests": [
                "Preizkus razmerij verjetij"
            ],
            "linear": [
                "linearno‧"
            ],
            "Linear Regression": [
                "Linearna regresija"
            ],
            "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression.": [
                "Linearna regresija se uporablja pri raziskovanju razmerij med zvezno odvisno spremenljivko in eno ali več zveznimi in/ali kategoričnimi pojasnjevalnimi spremenljivkami. Druge statistične metode, kot sta ANOVA in ANCOVA, so pravzaprav le prilagojene oblike linearne regresije."
            ],
            "Log odds ratio": [
                "Log razmerje obetov"
            ],
            "Log odds ratio exact": [
                "Natančno logaritemsko razmerje obetov"
            ],
            "Log-Linear Regression": [
                "Log-linearna regresija"
            ],
            "Logistic Regression": [
                "Logistična regresija"
            ],
            "Lower": [
                "Spodnji"
            ],
            "lower bound": [
                "spodnja meja"
            ],
            "MANCOVA": [
                "Analiza MANCOVA"
            ],
            "Mann-Whitney U": [
                "Mann-Whitneyev U"
            ],
            "Mantel-Haenszel": [
                "Mantel-Haenszelov test"
            ],
            "Mantel-Haenszel Test for Trend": [
                "Mantel-Haenszelov trendni test"
            ],
            "Marginal Mean": [
                "Robno povprečje"
            ],
            "Marginal Means": [
                "Robna povprečja"
            ],
            "Marginal means plots": [
                "Izrisi robnih povprečij"
            ],
            "Marginal means tables": [
                "Razpredelnice robnih povprečij"
            ],
            "Mauchly's W": [
                "Mauchlyjev W"
            ],
            "Max": [
                "Max‧"
            ],
            "Maximum": [
                "Največja vrednost‧"
            ],
            "Maximum likelihood": [
                "Največje razmerje verjetij"
            ],
            "McDonald's ω": [
                "McDonaldov ω"
            ],
            "McDonald's ω (if item is dropped)": [
                "McDonaldov ω (če je predmet izpuščen)"
            ],
            "McFadden's R²": [
                "McFaddenov R²"
            ],
            "McNemar requires a 2x2 table": [
                "McNemarjev test zahteva matriko 2x2"
            ],
            "McNemar Test": [
                "McNemarjev test"
            ],
            "McNemar test": [
                "McNemarjev test"
            ],
            "Mean": [
                "Povprečna vrednost"
            ],
            "Mean ({ciWidth}% CI)": [
                "Povprečje ({ciWidth}% CI)"
            ],
            "Mean Difference": [
                "Povprečna razlika"
            ],
            "Mean difference": [
                "Povprečna razlika"
            ],
            "Mean Dispersion": [
                "Razpršitev povprečja"
            ],
            "Mean score": [
                "Povprečna vrednost"
            ],
            "Mean Square": [
                "Kvadrat povprečja"
            ],
            "Means": [
                "Srednje vrednosti"
            ],
            "Measure": [
                "Mera"
            ],
            "Measure 1 - Measure 2": [
                "Mera 1 – Mera 2"
            ],
            "Measure 1 < Measure 2": [
                "Mera 1 < Mera 2"
            ],
            "Measure 1 ≠ Measure 2": [
                "Mera 1 ≠ Mera 2"
            ],
            "Measure 1 > Measure 2": [
                "Mera 1 > Mera 2"
            ],
            "Measures": [
                "Mere"
            ],
            "Median": [
                "Mediana"
            ],
            "Medians": [
                "Mediane"
            ],
            "Method": [
                "Metoda"
            ],
            "Min": [
                "Min‧"
            ],
            "Minimum": [
                "Najmanjša širina‧"
            ],
            "Minimum residual": [
                "Najmanjši ostanek"
            ],
            "Minimum residuals": [
                "najmanjši ostanki"
            ],
            "Minimum value": [
                "Najmanjša vrednost"
            ],
            "Missing": [
                "Manjkajoče"
            ],
            "Missing Values": [
                "Manjkajoče Vrednosti"
            ],
            "Missing values": [
                "Manjkajoče vrednosti"
            ],
            "Missing values exclusion method": [
                "Izločitvena metoda manjkajočih vrednosti"
            ],
            "Missing Values Method": [
                "Metoda manjkajočih vrednosti"
            ],
            "Mode": [
                "Modus"
            ],
            "Model": [
                "Model"
            ],
            "Model Builder": [
                "Modelski izgrajevalnik"
            ],
            "Model Coefficients": [
                "Koeficienti modela"
            ],
            "Model Comparisons": [
                "Primerjave modela"
            ],
            "Model Fit": [
                "Skladnost modela"
            ],
            "Model Fit Measures": [
                "Lestvica Skladnosti modela"
            ],
            "Model fit measures": [
                "Lestvica skladnosti modela"
            ],
            "Model Specific Results": [
                "Rezultati modela"
            ],
            "Model Terms": [
                "Pogoji modela"
            ],
            "Model Test": [
                "Test modela"
            ],
            "Model Thresholds": [
                "Pragi modela"
            ],
            "Model thresholds": [
                "Pragi modela"
            ],
            "Modification Indices": [
                ""
            ],
            "Modification indices": [
                ""
            ],
            "Monte Carlo simulation": [
                ""
            ],
            "More than one mode exists, only the first is reported": [
                "Obstaja več kot en modus, podana je le prva vrednost"
            ],
            "Most extreme": [
                ""
            ],
            "MSA": [
                "Analiza MSA"
            ],
            "Multinomial": [
                "Multinomska‧"
            ],
            "Multinomial Logistic Regression": [
                "Multinomska logistična regresija"
            ],
            "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables.": [
                "Večrazsežnostna analiza (ko)variance (MANCOVA) se uporablja za raziskovanje razmerij med več odvisnimi spremenljivkami in eno ali več kategoričnimi in/ali zveznimi pojasnjevalnimi spremenljivkami."
            ],
            "Multivariate Statistics": [
                "Večrazsežna statistika"
            ],
            "Multivariate Tests": [
                "Večrazsežnostni testi"
            ],
            "N": [
                "N"
            ],
            "N Outcomes": [
                "N izidov"
            ],
            "Nagelkerke's R²": [
                "Nagelkerkejev R²"
            ],
            "No components have an eigenvalue greater than {value}": [
                "Ni komponente z lastno vrednostjo, večjo od {value}"
            ],
            "No correction": [
                "Brez korekcije"
            ],
            "No factors defined. Box's M test is only relevant when model contains factors.": [
                "Ni določenih faktorjev. Boxov M-Test je ima smisel le, če model vsebuje faktorje."
            ],
            "Nominal": [
                "Nominalna / Imenska"
            ],
            "Non-Parametric": [
                "Neparametrično"
            ],
            "None": [
                "Brez"
            ],
            "none": [
                "brez"
            ],
            "Normal Scaled Items": [
                "Normalno obrnjene lestvice"
            ],
            "Normality": [
                "Normalnost"
            ],
            "Normality test": [
                "Test normalnosti"
            ],
            "Normality Test (Shapiro-Wilk)": [
                "Normalnost (Shapiro-Wilksov preizkus)"
            ],
            "Not all coefficients could be estimated (likely due to singular fit)": [
                ""
            ],
            "Not available due to too large number of cases (> 5000).": [
                ""
            ],
            "Not enough degrees of freedom to estimate all the model effects": [
                ""
            ],
            "Number of Components": [
                "Število komponent"
            ],
            "Number of components": [
                "Število komponent"
            ],
            "Number of extreme values": [
                ""
            ],
            "Number of Factors": [
                "Število faktorjev"
            ],
            "Number of factors": [
                "Število faktorjev"
            ],
            "Number of requested extreme values is higher than the number of rows in the data.": [
                ""
            ],
            "Oblimin": [
                "Oblimin"
            ],
            "oblimin": [
                "oblimin"
            ],
            "Observed": [
                "Opazovano"
            ],
            "Observed counts": [
                "Opazovani števci"
            ],
            "Observed scores": [
                ""
            ],
            "octic": [
                "octic"
            ],
            "Odds Ratio": [
                "Razmerje Obetov"
            ],
            "Odds ratio": [
                "Razmerje obetov"
            ],
            "of total": [
                "celote"
            ],
            "Omnibus ANOVA Test": [
                "Preizkus Omnibus ANOVA"
            ],
            "Omnibus Likelihood Ratio Tests": [
                "Preizkus razmerij verjetij Omnibus"
            ],
            "Omnibus Test": [
                "Preizkus Omnibus"
            ],
            "Omnibus Tests": [
                "Preizkusi Omnibus"
            ],
            "one of `'corr'` (default), `'pos'`, `'neg'` specifying the alernative hypothesis; correlated, correlated positively, correlated negatively respectively.": [
                ""
            ],
            "one of `'part'` (default) or `'semi'` specifying the type of partial correlation to calculate; partial or semipartial correlation.": [
                ""
            ],
            "One or both groups do not contain enough observations": [
                "Ena ali obe skupini ne vsebujeta dovoljšnega števila opazovanj"
            ],
            "One or both variables are not numeric": [
                "Ena ali obe spremenljivki nista številski"
            ],
            "One or both variables contain infinite values": [
                "Ena ali obe spremenljivki vsebujeta neskončne vrednosti"
            ],
            "One or both variables contain no observations": [
                "Ena ali obe spremenljivki ne vsebujeta opazovanj"
            ],
            "One or both variables do not contain enough observations": [
                "Ena ali obe spremenljivki ne vsebujeta dovoljšnega števila opazovanj"
            ],
            "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity.": [
                "Enega ali več koeficientov modela »{modelNo}« ni mogoče oceniti zaradi popolne kolinearnosti."
            ],
            "one or more of `'cfi'`, `'tli'`, `'srmr'`, `'rmsea'`, `'aic'`, or `'bic'`; use CFI, TLI, SRMR, RMSEA + 90% confidence interval, adjusted AIC, and BIC model fit measures, respectively": [
                ""
            ],
            "one or more of `'eta'`, `'partEta'`, or `'omega'`; use η², partial η², and ω² effect sizes, respectively": [
                ""
            ],
            "one or more of `'none'` (default), `'GG'`, or ``HF``; use no p-value correction, the Greenhouse-Geisser p-value correction, and the Huynh-Feldt p-value correction for shericity, respectively": [
                ""
            ],
            "one or more of `'none'`, `'tukey'` (default), `'scheffe'`, `'bonf'`, or `'holm'`; use no, Tukey, Scheffe, Bonferroni and Holm posthoc corrections, respectively": [
                ""
            ],
            "one or more of `'none'`, `'tukey'`, `'scheffe'`, `'bonf'`, or `'holm'`; provide no, Tukey, Scheffe, Bonferroni, and Holm Post Hoc corrections respectively": [
                ""
            ],
            "one or more of `'pillai'`, `'wilks'`, `'hotel'`, or `'roy'`; use Pillai's Trace, Wilks' Lambda, Hotelling's Trace, and Roy's Largest Root multivariate statistics, respectively": [
                ""
            ],
            "one or more of `'r2mf'`, `'r2cs'`, or `'r2n'`; use McFadden's, Cox & Snell, and Nagelkerke pseudo-R², respectively": [
                ""
            ],
            "One Sample Proportion Tests": [
                ""
            ],
            "One Sample T-Test": [
                "T-test enega vzorca"
            ],
            "One-Way ANOVA": [
                "Enosmerna ANOVA"
            ],
            "One-Way ANOVA (Fisher's)": [
                "Enosmerna ANOVA (Fisherjeva)"
            ],
            "One-Way ANOVA (Non-parametric)": [
                "Enosmerna ANOVA (Neparametrična)"
            ],
            "One-Way ANOVA (Welch's)": [
                "Enosmerna ANOVA (Welcheva)"
            ],
            "Options": [
                "Možnosti"
            ],
            "Ordinal": [
                "Ordinalna / Urejenostna"
            ],
            "Ordinal Logistic Regression": [
                "Ordinalna logistična regresija"
            ],
            "Ordinal Outcomes": [
                ""
            ],
            "Outliers": [
                ""
            ],
            "Output": [
                "Odvod"
            ],
            "Overall": [
                "Skupno"
            ],
            "Overall model": [
                "Splošni model"
            ],
            "Overall Model Test": [
                "Splošni Preskus Modela"
            ],
            "Overall model test": [
                "Splošni preskus modela"
            ],
            "p": [
                "p"
            ],
            "p-value": [
                "p-vrednost"
            ],
            "p<sub>bonferroni</sub>": [
                "p<sub>bonferroni</sub>"
            ],
            "p<sub>holm</sub>": [
                "p<sub>holm</sub>"
            ],
            "p<sub>scheffe</sub>": [
                "p<sub>scheffe</sub>"
            ],
            "p<sub>tukey</sub>": [
                "p<sub>tukey</sub>"
            ],
            "Paired Samples": [
                "Odvisni pari vzorcev"
            ],
            "Paired Samples Contingency Tables": [
                "Kontingenčne razpredelnice odvisnih parov vzorcev"
            ],
            "Paired Samples T-Test": [
                "T-Test odvisnih vzorcev"
            ],
            "Paired Variables": [
                "Parjene spremenljivke"
            ],
            "Pairwise comparisons - $key": [
                "Parne primerjave – $key"
            ],
            "Pairwise Comparisons (Durbin-Conover)": [
                "Parne Primerjave (Durbin-Conover)"
            ],
            "Pairwise comparisons (Durbin-Conover)": [
                "Parne primerjave (Durbin-Conover)"
            ],
            "Partial": [
                "Delna"
            ],
            "Partial Correlation": [
                "Delna korelacija"
            ],
            "Partial correlation matrices are a way to examine linear relationships\nbetween two or more continuous variables while controlling for other\nvariables": [
                "Delne korelacijske matrike so način preučevanja linearnih povezav\nmed dvema ali več zveznimi spremenljivkami ob spremljanju drugih\nspremenljivk"
            ],
            "Partial correlation matrices are a way to examine linear relationships\nbetween two or more continuous variables while controlling for other\nvariables\n\nFor each pair of variables, a Pearson's r value indicates the strength\nand direction of the relationship between those two variables. A\npositive value indicates a positive relationship (higher values of one\nvariable predict higher values of the other variable). A negative\nPearson's r indicates a negative relationship (higher values of one\nvariable predict lower values of the other variable, and vice-versa).\nA value of zero indicates no relationship (whether a variable is high\nor low, does not tell us anything about the value of the other\nvariable).\n\nMore formally, it is possible to test the null hypothesis that the\ncorrelation is zero and calculate a p-value. If the p-value is low, it\nsuggests the correlation co-efficient is not zero, and there is a linear\n(or more complex) relationship between the two variables.": [
                "Matrike delnih korelacij omogočajo preučevanja linearnih povezav med dvema ali več zveznimi spremenljivkami ob hkratnem pregledu drugih spremenljivk.\n\nVrednost Pearsonovega r kaže moč in smer povezave za vsak par spremenljivk. Pozitivna vrednost pomeni pozitivno razmerje (višje vrednosti ene spremenljivke napovedujejo višje vrednosti druge), negativna nasprotno (višje vrednosti ene spremenljivke napovedujejo nižje vrednosti druge spremenljivke in obratno). Vrednost nič pomeni, da ni povezave (visoka ali nizka vrednost spremenljivke ne pove ničesar o vrednosti druge).\n\nNičelno hipotezo je mogoče preveriti z izračunom p-vrednosti, če je korelacija enaka nič. Če je p-vrednost nizka, pomeni, da korelacijski koeficient ni enak nič in da med spremenljivkama obstaja linearna (ali bolj kompleksna) povezava."
            ],
            "Partial η²": [
                "Delni η²"
            ],
            "partial η²": [
                "delni η²"
            ],
            "Path Diagram": [
                "Diagram poti"
            ],
            "Path diagram": [
                "Diagram poti"
            ],
            "Pearson": [
                "Pearsonova korelacija"
            ],
            "Pearson correlation cannot be calculated for non-numeric values": [
                ""
            ],
            "Pearson's r": [
                "Pearsonov R"
            ],
            "Pearson{}Correlation": [
                "Pearsonova{}korelacija"
            ],
            "Percentages": [
                "Odstotki"
            ],
            "Percentages of total": [
                "Odstotki skupnega"
            ],
            "Percentages within {var}": [
                "Odstotki spremenljivke {var}"
            ],
            "Percentile": [
                "Percentil"
            ],
            "Percentile Values": [
                "Percentilne Vrednosti"
            ],
            "Percentile values": [
                "Percentilne vrednosti"
            ],
            "Percentiles": [
                "Percentili"
            ],
            "perform a Mann-Whitney U test.": [
                "izvedi Mann-Whitneyjev U test."
            ],
            "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution.": [
                "izvedi Shapiro-Wilkove preizkuse normalnosti. Nizka p-vrednost kaže, da podatki niso del normalne porazdelitve."
            ],
            "perform an overall model test.": [
                "izvedi Splošni preskus modela."
            ],
            "perform Fisher's (or what might be call 'normal') ANOVAs.": [
                "izvedi Fisherjeve (kar lahko označimo kot »normalne«) analize ANOVA."
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution.": [
                "izvedi Shapiro-Wilkove preizkuse normalnosti. Nizka p-vrednost kaže, da podatki niso del normalne porazdelitve."
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed.": [
                "izvedi Shapiro-Wilkov preizkuse normalnosti. Nizka p-vrednost kaže, da ostanki niso del normalne porazdelitve."
            ],
            "perform Student's independent samples t-tests.": [
                "izvedi T-Test neodvisnih vzorcev."
            ],
            "perform Student's one-sample t-tests.": [
                "izvedi T-Test enega vzorca."
            ],
            "perform Student's paired samples t-tests.": [
                "izvedi T-Test parjenih vzorcev."
            ],
            "perform Welch's ANOVAs.": [
                "izvedi Welchove analize ANOVA."
            ],
            "perform Welch's tests.": [
                "izvedi Welchev t preizkus."
            ],
            "perform Wilcoxon signed rank tests.": [
                "izvedi Wilcoxonov test predznačenih rangov."
            ],
            "Phi and Cramer's V": [
                "Fi in Cramerjev V"
            ],
            "Phi-coefficient": [
                "Koeficient Fi (φ)"
            ],
            "Pillai's Trace": [
                "Pillailova sled"
            ],
            "Plot": [
                "Diagram"
            ],
            "plot densities along the diagonal of the correlation matrix plot.": [
                "izris gostot vzdolž diagonale izrisa korelacijske matrike."
            ],
            "plot the data along with the marginal means.": [
                "izris podatkov z robnimi povprečji."
            ],
            "Plot Type": [
                "Vrsta diagrama"
            ],
            "Plots": [
                "Diagrami"
            ],
            "Polynomial": [
                "Polinomska‧"
            ],
            "Post Hoc Comparisons - {term}": [
                "Primerjave Post Hoc – {term}"
            ],
            "Post Hoc Tests": [
                "Testi Post-Hoc"
            ],
            "Post Hoc Tests – $key": [
                "Testi Post Hoc – $key"
            ],
            "Post-Hoc Model Performance": [
                ""
            ],
            "Post-Hoc Test": [
                "Post-Hoc test"
            ],
            "Post-Hoc Tests": [
                "Testi Post-Hoc"
            ],
            "Posterior": [
                ""
            ],
            "Posterior plot": [
                ""
            ],
            "Posterior Plots": [
                ""
            ],
            "Predicted": [
                "Napovedano"
            ],
            "Predicted probability of … = … (vs … = …)": [
                "Napovedana verjetnost spremenljivke … = … (proti … = …)"
            ],
            "Predicted probability of {dep} = {level1} (vs {dep} = {level2})": [
                "Napovedana verjetnost spremenljivke {dep} = {level1} (proti {dep} = {level2})"
            ],
            "Predicted values": [
                "Napovedane vrednosti"
            ],
            "Prediction": [
                "Napoved"
            ],
            "Predictive Measures": [
                ""
            ],
            "Predictor": [
                "Vzročna spremenljivka"
            ],
            "Predictors": [
                "Vzročne spremenljivke"
            ],
            "Principal axis": [
                "Glavna os"
            ],
            "Principal axis factoring": [
                ""
            ],
            "Principal Component Analysis": [
                "Analiza glavnih komponent (PCA)"
            ],
            "Prior": [
                ""
            ],
            "Prior width": [
                ""
            ],
            "Probability": [
                "Verjetnost"
            ],
            "Promax": [
                "Promax"
            ],
            "promax": [
                "promax"
            ],
            "Proportion": [
                ""
            ],
            "Proportion Test (2 Outcomes)": [
                "Preizkus sorazmernosti (2 izida)"
            ],
            "Proportion Test (N Outcomes)": [
                "Preizkus sorazmernosti (N izidov)"
            ],
            "provide a Cohen's d measure of effect size for the post-hoc tests.": [
                "izračuna Cohenove d velikosti učinka post-hoc preizkusov."
            ],
            "provide a confidence interval for the difference between the mean estimate and the test value.": [
                "izračuna interval zaupanja za razliko med oceno povprečne vrednosti in testno vrednostjo."
            ],
            "provide a correlation matrix plot.": [
                "izriše korelacijsko matriko."
            ],
            "provide a Kendall's tau-b for each combination of variables.": [
                "izračuna Kendallov tau-b za vsako kombinacijo spremenljivk."
            ],
            "provide a p-value for each correlation co-efficient.": [
                "izračuna p-vrednost za vsak koeficient korelacije."
            ],
            "provide a Pearson's r for each combination of variables.": [
                "izračuna Pearsonov r za vsako kombinacijo spremenljivk."
            ],
            "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution.": [
                "izriše diagrame Q-Q ostankov – diagram dejanskih ostankov glede na pričakovanje *popolnoma* normalno porazdeljenih podatkov. Velika odstopanja od diagonalne črte kažejo, da podatki niso normalno porazdeljeni."
            ],
            "provide a Spearman's rho for each combination of variables.": [
                "izračuna Spearmanov ro za vsako kombinacijo spremenljivk."
            ],
            "provide a table of descriptives for each variable.": [
                "izriše razpredelnico opisnih statistik za vsako spremenljivko."
            ],
            "provide a table of the estimated marginal means.": [
                "izriše razpredelnico z napovedanimi robnimi povprečnimi vrednostmi."
            ],
            "provide Bayes factors for the Student's independent samples t-tests.": [
                "izračuna Bayesove faktorje za T-Test neodvisnih vzorcev."
            ],
            "provide Bayes factors for the Student's one-sample t-tests.": [
                "izračuna Bayesove faktorje za T-Test enega vzorca."
            ],
            "provide Bayes factors for the Student's paired samples t-tests.": [
                "izračuna Bayesove faktorje za T-Test parnih vzorcev."
            ],
            "provide confidence intervals for Pearson's r.": [
                "izračuna interval zaupanja za Pearsonov r."
            ],
            "provide confidence intervals for the effect-sizes": [
                "določi intervale zaupanja za velikosti učinka"
            ],
            "provide confidence intervals for the mean differences.": [
                "določi intervale zaupanja za razlike povprečij."
            ],
            "provide confidence intervals for the post-hoc effect sizes.": [
                "določi intervale zaupanja za velikosti učinka preizkusov post-hoc."
            ],
            "provide correlation co-efficients in the correlation matrix plot.": [
                "izračuna statistiko korelacij v izrisu korelacijske matrike."
            ],
            "provide descriptive plots for each group.": [
                "izriše diagrame opisnih statistik za vsako skupino."
            ],
            "provide descriptive plots for each variable.": [
                "izriše diagrame opisnih statistik za vsako spremenljivko."
            ],
            "provide descriptives for each group of measurements.": [
                "izračuna opisno statistiko za vsako skupino meritev."
            ],
            "provide descriptives for each group.": [
                "izračuna opisno statistiko za vsako skupino."
            ],
            "provide descriptives plots.": [
                "izriše diagrame opisnih statistik."
            ],
            "provide effect-sizes (Cohen's D).": [
                "izračuna vrednost velikosti učinka (Cohenov D)."
            ],
            "provide effect-sizes (Cohen's d).": [
                "izračuna vrednost velikosti učinka (Cohenov d)."
            ],
            "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                "izračuna Levenov test homogenosti varianc. Nizka p-vrednost kaže, da skupini nimata enakih varianc."
            ],
            "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                "izračuna Levenov test homogenosti varianc. Nizka p-vrednost kaže, da skupini nimata enakih varianc."
            ],
            "provide mean differences and standard errors of the mean differences.": [
                "izračuna razlike povprečij in standardne napake teh razlik."
            ],
            "provide mean differences with the post-hoc tests.": [
                "izračuna razlike povprečij s preizkusi post-hoc."
            ],
            "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value.": [
                "izračuna razlike povprečij in standardne napake teh razlik med oceno povprečne vrednosti in testno vrednostjo."
            ],
            "provide measures of effect size; η², partial η², or ω².": [
                "izračuna lestvice velikosti učinka; η², delni η² ali ω²."
            ],
            "provide p-value corrections for sphericity.": [
                "izračuna p-vrednosti popravkov sferičnosti."
            ],
            "provide plots of the estimated marginal means.": [
                "izriše diagrame z napovedanimi robnimi povprečnimi vrednostmi."
            ],
            "provide post-hoc tests.": [
                "izvede preizkuse post-hoc."
            ],
            "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution.": [
                "izriše diagrame Q-Q ostankov – diagram dejanskih ostankov glede na pričakovanje *popolnoma* normalno porazdeljenih podatkov. Velika odstopanja od diagonalne črte kažejo, da podatki niso normalno porazdeljeni."
            ],
            "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed.": [
                "izriše diagrame Q-Q ostankov – diagram dejanskih ostankov glede na pričakovanje *popolnoma* normalno porazdeljenih podatkov. Velika odstopanja od diagonalne črte kažejo, da ostanki niso normalno porazdeljeni."
            ],
            "provide significance levels for the post-hoc tests.": [
                "izračuna ravni statistične značilnosti za preizkuse post-hoc."
            ],
            "provide sphericity tests.": [
                "izvede preizkuse sferičnosti."
            ],
            "provide test results (t-value and degrees of freedom) for post-hoc tests.": [
                "izračuna statistike (t-vrednost in prostostne stopnje) za preizkuse post-hoc."
            ],
            "provide the number of cases.": [
                "poda število primerov."
            ],
            "Pseudo R²": [
                "Pseudo R²"
            ],
            "Q-Q": [
                "Diagram Q-Q"
            ],
            "Q-Q Plot": [
                "Diagram normale Q-Q"
            ],
            "Q-Q plot": [
                "Diagram Q-Q"
            ],
            "Q-Q Plot Assessing Multivariate Normality": [
                ""
            ],
            "Q-Q plot of multivariate normality": [
                ""
            ],
            "Q-Q plot of residuals": [
                "Diagram Q-Q ostankov"
            ],
            "Q-Q Plots": [
                "Diagrami Q-Q"
            ],
            "Q-Q plots": [
                "Diagrami Q–Q"
            ],
            "quadratic": [
                "quadratic"
            ],
            "quartic": [
                "quartic"
            ],
            "Quartimax": [
                "Quartimax (faktorske uteži)"
            ],
            "quartimax": [
                "quartimax"
            ],
            "quintic": [
                "quintic"
            ],
            "R": [
                "R"
            ],
            "R²": [
                "R²"
            ],
            "R²<sub>CS</sub>": [
                "R²<sub>CS</sub>"
            ],
            "R²<sub>McF</sub>": [
                "R²<sub>McF</sub>"
            ],
            "R²<sub>N</sub>": [
                "R²<sub>N</sub>"
            ],
            "R²<sub>T</sub>": [
                ""
            ],
            "Range": [
                "Obseg"
            ],
            "Rank biserial correlation": [
                "Biserialna korelacija rangov"
            ],
            "Rate Ratio": [
                "Razmerje Stopenj"
            ],
            "Rate ratio": [
                "Razmerje stopenj"
            ],
            "Ratio": [
                "Razmerje"
            ],
            "Reference Level": [
                "Sklicna raven"
            ],
            "Reference level (dummy coding)": [
                "Sklicna raven (navidezno kodiranje)"
            ],
            "Reference Levels": [
                "Sklicne ravni"
            ],
            "Regression": [
                "Regresije"
            ],
            "Relative risk": [
                "Relativno tveganje"
            ],
            "Reliability Analysis": [
                "Analiza zanesljivosti"
            ],
            "Repeated": [
                "Ponovljeno"
            ],
            "Repeated Measures ANOVA": [
                "ANOVA ponavljajočih meritev"
            ],
            "Repeated Measures ANOVA (Non-parametric)": [
                "ANOVA ponavljajočih meritev (neparametrično)"
            ],
            "Repeated Measures Cells": [
                "Cellice ponavljajočih meritev"
            ],
            "Repeated Measures Components": [
                "Komponente ponavljajočih meritev"
            ],
            "Repeated Measures Factors": [
                "Faktorji ponavljajočih meritev"
            ],
            "Report significance": [
                "Izpiši statistično značilnost"
            ],
            "Represents grand mean": [
                "Predstavlja združeno povprečje"
            ],
            "Represents reference level": [
                "Pomeni sklicno raven"
            ],
            "Residual": [
                "Ostanek"
            ],
            "Residual Covariances": [
                "Kovariance ostankov"
            ],
            "Residual covariances": [
                "Kovariance ostankov"
            ],
            "Residual Covariances – Modification Indices": [
                ""
            ],
            "Residual Estimates": [
                "Napovedi ostankov"
            ],
            "Residual Intercepts": [
                ""
            ],
            "Residual intercepts": [
                ""
            ],
            "Residual plots": [
                "Diagrami ostankov"
            ],
            "Residual sum of squares and/or degrees of freedom are zero, indicating a perfect fit": [
                ""
            ],
            "Residuals": [
                "Ostanki"
            ],
            "Residuals for Observed Correlation Matrix": [
                ""
            ],
            "Residuals from ANOVA": [
                "Ostanki analize ANOVA"
            ],
            "Residuals observed correlation matrix": [
                ""
            ],
            "Residuals Plots": [
                "Izris ostankov"
            ],
            "Results": [
                "Rezultati"
            ],
            "reverse scaled item": [
                "predmet obrnjene lestvice"
            ],
            "Reverse Scaled Items": [
                "Obrnjene lestvice"
            ],
            "RM Factor {0}": [
                ""
            ],
            "RM Factor 1": [
                ""
            ],
            "RMSE": [
                "Napaka RMSE"
            ],
            "RMSEA": [
                "Napaka RMSEA"
            ],
            "RMSEA 90% CI": [
                "Napaka RMSEA 90 % intervala zaupanja"
            ],
            "ROC": [
                "Krivulja ROC"
            ],
            "ROC Curve": [
                "Krivulja ROC"
            ],
            "ROC curve": [
                "Krivulja ROC"
            ],
            "Rotation": [
                "Rotacija"
            ],
            "Row": [
                "Vrstica"
            ],
            "Row number": [
                ""
            ],
            "Row variable '{var}' contains fewer than 2 levels": [
                "Vrstica spremenljivke »{var}« vsebuje manj kot 2 ravni"
            ],
            "Rows": [
                "Vrstice"
            ],
            "rows": [
                "vrstice‧"
            ],
            "rows (default), or columns in bar plot X axis": [
                "vrstice (privzeto) oziroma stolpci na osi X stolpčnega diagrama"
            ],
            "Rows compared": [
                "Primerjanje vrstice"
            ],
            "Roy's Largest Root": [
                "Royjev največji koren"
            ],
            "Sample Size": [
                "Velikost vzorca"
            ],
            "Save": [
                "Shrani"
            ],
            "scale": [
                "lestvica"
            ],
            "Scale Analysis": [
                "Analiza lestvice"
            ],
            "Scale factor = scale first indicator": [
                ""
            ],
            "Scale Reliability Statistics": [
                "Statistika zanesljivosti lestvice"
            ],
            "Scale Statistics": [
                "Statistika lestvice"
            ],
            "Scheffe": [
                "Scheffejev test"
            ],
            "Score Component": [
                ""
            ],
            "Score Factor": [
                ""
            ],
            "Score for component": [
                ""
            ],
            "Score for factor {i}. Estimated using the '{fsMethod}' method.": [
                ""
            ],
            "Scree Plot": [
                "Diagram komponent (Scree)"
            ],
            "Scree plot": [
                "Diagram komponent"
            ],
            "SD": [
                "SD"
            ],
            "SE": [
                "SN"
            ],
            "SE difference": [
                "Razlika SN"
            ],
            "Semipartial": [
                "Semidelna"
            ],
            "Semipartial Correlation": [
                "Semidelna korelacija"
            ],
            "Sensitivity": [
                "Občutljivost"
            ],
            "septic": [
                "septic"
            ],
            "set.seed(1337)\n\ny <- factor(sample(1:3, 100, replace = TRUE))\nx1 <- rnorm(100)\nx2 <- rnorm(100)\n\ndf <- data.frame(y=y, x1=x1, x2=x2)\n\nlogRegOrd(data = df, dep = y,\n          covs = vars(x1, x2),\n          blocks = list(list(\"x1\", \"x2\")))\n\n#\n#  ORDINAL LOGISTIC REGRESSION\n#\n#  Model Fit Measures\n#  ───────────────────────────────────────\n#    Model    Deviance    AIC    R²-McF\n#  ───────────────────────────────────────\n#        1         218    226    5.68e-4\n#  ───────────────────────────────────────\n#\n#\n#  MODEL SPECIFIC RESULTS\n#\n#  MODEL 1\n#\n#  Model Coefficients\n#  ────────────────────────────────────────────────────\n#    Predictor    Estimate    SE       Z        p\n#  ────────────────────────────────────────────────────\n#    x1             0.0579    0.193    0.300    0.764\n#    x2             0.0330    0.172    0.192    0.848\n#  ────────────────────────────────────────────────────\n#\n#": [
                ""
            ],
            "sextic": [
                "sextic"
            ],
            "Shapiro-Wilk": [
                "Shapiro-Wilksov preizkus"
            ],
            "Shapiro-Wilk Multivariate Normality Test": [
                "Shapiro-Wilkov preizkus večrazsežne normalnosti"
            ],
            "Shapiro-Wilk p": [
                "Shapiro-Wilkov p"
            ],
            "Shapiro-Wilk test": [
                "Shapiro-Wilkov preizkus"
            ],
            "Shapiro-Wilk test for multivariate normality": [
                "Shapiro-Wilkov preizkus večrazsežne normalnosti"
            ],
            "Shapiro-Wilk W": [
                "Shapiro-Wilkov W"
            ],
            "Side by side": [
                "Stran ob strani"
            ],
            "Simple": [
                "Enostavni"
            ],
            "Simplimax": [
                "Simplimax"
            ],
            "simplimax": [
                "simplimax"
            ],
            "Simulations": [
                "Simulacije"
            ],
            "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables.": [
                "Zaznano je singularno prileganje; ena ali več vzročnih spremenljivk so linearne kombinacije drugih napovednih spremenljivk."
            ],
            "Singularity error. Sphericity tests are not available": [
                "Napaka singularnosti. Preizkusi sferičnosti niso na voljo"
            ],
            "Skewness": [
                "Asimetrija"
            ],
            "Sort loadings by size": [
                "Razvrsti uteži po velikosti"
            ],
            "Spearman": [
                "Spearman"
            ],
            "Spearman's rho": [
                "Spearmanov ro"
            ],
            "Specificity": [
                "Specifičnost"
            ],
            "Sphericity Correction": [
                "Popravek sferičnosti"
            ],
            "Sphericity corrections": [
                "Popravki sferičnosti"
            ],
            "Sphericity tests": [
                "Testi sferičnosti"
            ],
            "Split by": [
                "Razdeli po"
            ],
            "Squared Mahalanobis Distance": [
                "Mahalanobisova kvadratna razdalja"
            ],
            "SRMR": [
                "Ostanek SRMR"
            ],
            "SS Loadings": [
                ""
            ],
            "stack or side by side (default), barplot type": [
                "naloženi oziroma razvrstilni (privzeto), vrsta stolpčnega diagrama"
            ],
            "Stacked": [
                "Zloženo"
            ],
            "Stand. Estimate": [
                "St. napoved"
            ],
            "Standard deviation": [
                "Standardni odklon"
            ],
            "Standard Error": [
                "Standardna napaka"
            ],
            "Standard error": [
                "Standardna napaka"
            ],
            "Standardized Estimate": [
                "Standardizirana Napoved"
            ],
            "Standardized estimate": [
                "Standardizirana napoved"
            ],
            "Standardized Residuals": [
                "Standardizirani ostanki"
            ],
            "Statistic": [
                "Statistika"
            ],
            "statistic": [
                "statistika"
            ],
            "Statistics": [
                "Statistike"
            ],
            "Std. deviation": [
                "St. Odklon"
            ],
            "Std. error kurtosis": [
                "St. napaka sploščenosti"
            ],
            "Std. error mean": [
                "Povprečje st. napake"
            ],
            "Std. error of Mean": [
                "St. napaka povprečja"
            ],
            "Std. error skewness": [
                "St. napaka asimetrije"
            ],
            "Student's": [
                "T-test"
            ],
            "Student's t": [
                "T-Test"
            ],
            "Student's test": [
                "Test T-test"
            ],
            "Sum": [
                "Vsota"
            ],
            "Sum of Squares": [
                "Vsota kvadratov"
            ],
            "Sum of squares": [
                "Vsota kvadratov"
            ],
            "Sum score": [
                ""
            ],
            "Summary": [
                "Povzetek"
            ],
            "t": [
                "t"
            ],
            "T-Tests": [
                "T-Testi"
            ],
            "t-value": [
                "t-vrednost"
            ],
            "ten Berge": [
                "ten Bergeova ocena"
            ],
            "Term {0}": [
                "Pogoj {0}"
            ],
            "Term 1": [
                "Pogoj 1"
            ],
            "Test for Exact Fit": [
                "Preizkus natančnosti skladnosti"
            ],
            "Test results (t and df)": [
                "Rezultati testa (t in df)"
            ],
            "Test statistics": [
                "Statistika preizkusa"
            ],
            "Test Value": [
                "Preizkusna vrednost"
            ],
            "Test value": [
                "Preizkusna vrednost"
            ],
            "Tests": [
                "Testi"
            ],
            "Tests of Sphericity": [
                "Testi sferičnosti"
            ],
            "th percentile": [
                ". percentil"
            ],
            "The 'iris' data set from R": [
                "Podatkovni nabor 'iris' paketa R"
            ],
            "The 'split by' variable '{var}' contains no data.": [
                "»Razdelitvena« spremenljivka »{var}« je brez podatkov."
            ],
            "the (optional) weights from `data` to be used in the fitting process": [
                ""
            ],
            "the alternative and null hypotheses;\n\n|              | Alternative (Hₐ)  | Null (H₀)          |\n|--------------|-------------------|--------------------|\n| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n| > Test value | Mean > Test value | Mean <= Test value |\n| < Test value | Mean < Test value | Mean >= Test value |": [
                ""
            ],
            "the alternative hypothesis.": [
                "alternativna hipoteza."
            ],
            "the alternative hypothesis. Allows for one-tailed tests.": [
                "alternativna hipoteza. Možnost določa enosmerne preizkuse."
            ],
            "The Analysis of Covariance (ANCOVA) is used to explore the relationship\nbetween a continuous dependent variable, one or more categorical\nexplanatory variables, and one or more continuous explanatory variables\n(or covariates). It is essentially the same analysis as ANOVA, but\nwith the addition of covariates.": [
                "Analiza kovariance (ANCOVA) se uporablja za raziskovanje razmerja med\nzvezno odvisno spremenljivko, eno ali več kategoričnih pojasnjevalnih\nspremenljivk in ene ali več zveznih pojasnjevalnih spremenljivk (ali kovariant).\nV zasnovi je analiza enaka analizi ANOVA, vendar z dodatkom kovariant."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables.": [
                "Analiza variance (ANOVA) se uporablja za ugotavljanje razmerja\nmed zvezno odvisno spremenljivko in eno ali več kategoričnih\npojasnjevalnih spremenljivk."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables.\n\nANOVA assumes that the residuals are normally distributed, and that the\nvariances of all groups are equal. If one is unwilling to assume that\nthe variances are equal, then a Welch's test can be used instead\n(However, the Welch's test does not support more than one explanatory\nfactor). Alternatively, if one is unwilling to assume that the data is\nnormally distributed, a non-parametric approach (such as Kruskal-Wallis)\ncan be used.": [
                "Analiza variance (ANOVA) se uporablja za raziskovanje razmerja med\nzvezno odvisno spremenljivko in eno ali več kategoričnimi pojasnjevalnimi\nspremenljivkami.\n\nPri analizi ANOVA je predpostavljeno, da so ostanki normalno porazdeljeni\nin da so variance vseh skupin enake. Če predpostavka, da so variance enake,\nni na mestu, je mogoče uporabiti Welchev test (Welchev test ne podpira več\nkot enega pojasnjevalnega dejavnika). Če pa ni mogoče predpostaviti, da so\npodatki porazdeljeni normalno, je mogoče uporabiti neparametrični pristop\n(kot je Kruskal-Wallisova statistika)."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables. This 'One-Way ANOVA' is a simplified version of\nthe 'normal' ANOVA, allowing only a single explanatory factor, however\nalso providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\nit need not assume that the variances of all groups are equal.": [
                "Analiza variance (ANOVA) se uporablja za raziskovanje razmerja med\nzvezno odvisno spremenljivko in eno ali več kategoričnimi pojasnjevalnimi\nspremenljivkami. Enosmerna ANOVA je poenostavljena različica »običajne«\nanalize ANOVA, ki pa omogoča le en pojasnjevalni dejavnik, a zagotavlja\nizračun Welchove analize ANOVA. Prednost te je, da ni treba predpostavljati\nenakih varianc vseh skupin."
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables. This 'One-Way ANOVA' is a simplified version of\nthe 'normal' ANOVA, allowing only a single explanatory factor, however\nalso providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\nit need not assume that the variances of all groups are equal.\n\nFor convenience, this method allows specifying multiple dependent\nvariables, resulting in multiple independent tests.\n\nNote that the Welch's ANOVA is the same procedure as the Welch's\nindependent samples t-test.": [
                "Analiza variance (ANOVA) se uporablja za raziskovanje razmerja med\nzvezno odvisno spremenljivko in eno ali več kategoričnimi pojasnjevalnimi\nspremenljivkami. Enosmerna ANOVA je poenostavljena različica »običajne«\nanalize ANOVA, ki pa omogoča le en pojasnjevalni dejavnik, a zagotavlja\nizračun Welchove analize ANOVA. Prednost te je, da ni treba predpostavljati\nenakih varianc vseh skupin.\n\nPriročnost uporabe se kaže v možnosti določitve več odvisnih spremenljivk,\nto pa omogoča več neodvisnih testov.\n\nWelchova analiza ANOVA sledi enakemu postopku kot Welchov T-Test\nza neodvisne vzorce."
            ],
            "the between subjects factors (optional).": [
                ""
            ],
            "the between subjects terms of the model.": [
                ""
            ],
            "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value.": [
                "Binomski test se uporablja za preverjanje ničelne hipoteze, da se sorazmerni delež opazovanj ujema z določeno pričakovano vrednostjo. Če je p-vrednost nizka, pomeni, da je ničelna hipoteza napačna in da mora biti pravi delež druge vrednosti."
            ],
            "the categorical explanatory (or independent) variables.": [
                "kategorične pojasnjevalne (ali neodvisne) spremenljivke."
            ],
            "The CI of the mean assumes sample means follow a t-distribution with N - 1 degrees of freedom": [
                ""
            ],
            "the confidence interval width for the effect-sizes.": [
                "širina intervala zaupanja za velikosti učinka."
            ],
            "the confidence interval width for the post-hoc effect sizes.": [
                "širina intervala zaupanja za velikosti učinka preizkusov post-hoc."
            ],
            "the confidence interval width.": [
                "širina intervala zaupanja."
            ],
            "the continuous explanatory (or independent) variables, also known as covariates.": [
                "zvezne pojasnjevalne (ali neodvisne) spremenljivke, imenovane tudi kovariati."
            ],
            "the contrasts to use.": [
                "kontrasti za uporabo."
            ],
            "the control variables of interest.": [
                ""
            ],
            "the counts in `data`": [
                "števci med podatki `data`"
            ],
            "the covariates (specifying these makes this an ANCOVA)": [
                ""
            ],
            "the covariates from `data`": [
                "kovariati za podatkovno zbirko `data`"
            ],
            "The cut-off value is set to {}": [
                "Vrednost točke prereza je nastavljena na {}"
            ],
            "the data as a data frame": [
                "podatki podatkovne zbirke"
            ],
            "The dataset contains 0 rows (after removing rows with missing values)": [
                ""
            ],
            "The dataset contains 0 rows (or all rows contain missing values)": [
                ""
            ],
            "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels.": [
                "Odvisna spremenljivka »{}« ima več kot dve ravni; binomska logistična regresija je omogoča le za binarne odvisne spremenljivke."
            ],
            "The dependent variable '{dep}' has the following order: {orderedLevels}": [
                "Odvisna spremenljivka »{dep}« sledi vrstnemu redu: {orderedLevels}"
            ],
            "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression.": [
                "Odvisna spremenljivka »{dep}« ima le dve ravni. Morda je ustrezneje uporabiti binomsko logistično regresijo."
            ],
            "the dependent variable from `data`, variable must be numeric": [
                "odvisna spremenljivka v podatkovni zbirki `data`, spremenljivka mora biti številska vrednost"
            ],
            "the dependent variable from `data`, variable must be numeric (not necessary when providing a formula, see examples)": [
                "odvisna spremenljivka v podatkovni zbirki `data`, spremenljivka mora biti številska vrednost (to ni pogoj, če je podana enačba; več v primerih)"
            ],
            "the dependent variable. For ANCOVA, these will be continuous.": [
                "odvisna spremenljivka – za analizo ANCOVA je ta zvezna."
            ],
            "the dependent variable. For ANOVA, these will be continuous.": [
                "odvisna spremenljivka – za analizo ANOVA je ta zvezna."
            ],
            "the dependent variables -- a separate t-test is performed for each dependent variable specified.": [
                "odvisne spremenljivke – za vsako določeno odvisno spremenljivko se izvede ločen izračun T-Testa."
            ],
            "the dependent variables (not necessary when using a formula, see the examples)": [
                "odvisne spremenljivke (to ni pogoj, če je podana enačba; več v primerih)"
            ],
            "the dependent variables. For ANOVA, these will be continuous.": [
                "odvisne spremenljivke – za analizo ANOVA so te zvezne."
            ],
            "the error bars to plot on the marginal means.": [
                ""
            ],
            "the explanatory covariates (not necessary when providing a formula, see examples)": [
                ""
            ],
            "the explanatory factors in `data` (not necessary when providing a formula, see examples)": [
                ""
            ],
            "the explanatory or independent variable. For ANOVA this will be categorical.": [
                "pojasnjevalna ali neodvisna spremenljivka. Za analizo ANOVA je ta kategorična."
            ],
            "the explanatory or independent variables. For ANOVA these will be categorical.": [
                "pojasnjevalne ali neodvisne spremenljivke. Za analizo ANOVA so te kategorične."
            ],
            "the fixed factors from `data`": [
                "stalni faktorji med podatki `data`"
            ],
            "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time.": [
                "Friedmanov preizkus se uporablja za raziskovanje razmerja med zvezno odvisno spremenljivko in kategorično pojasnjevalno spremenljivko, kjer je pojasnjevalna »znotraj primerov« (več meritev za isti primer). Preizkus je analogen analizi ponavljajočih meritev ANOVA, a s prednostjo, da je ta neparametričen in ne zahteva predpostavke normalnosti ali homogenosti variance. Omejitev je, da je sočasno mogoče preverjati le eno spremenljivko."
            ],
            "the grouping variable with two levels (not necessary when using a formula, see the examples)": [
                "združevalna spremenljivka z dvema ravnema (ni obvezna pri uporabi formule, več med primeri)"
            ],
            "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time.": [
                "Kruskal-Wallisov preizkus se uporablja za raziskovanje razmerja med zvezno odvisno spremenljivko in kategorično pojasnjevalno spremenljivko. Preizkus je analogen analizi ANOVA, vendar s prednostjo, da je neparametričen in zahteva manj predpostavk. Omejitev je, da je sočasno mogoče preverjati le eno spremenljivko."
            ],
            "the label to use for the dependent variable.": [
                "oznaka, uporabljena za odvisno spremenljivko."
            ],
            "the lavaan syntax used to fit the model": [
                ""
            ],
            "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing.": [
                ""
            ],
            "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing.": [
                ""
            ],
            "the model terms which make up the model.": [
                "pogoji modela, ki oblikujejo model."
            ],
            "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted.": [
                "pogoji modela, ki oblikujejo model. Privzeto je ustvarjen polni faktorski model, vendar je mogoče natančne pogoje, ki določajo model, prilagoditi."
            ],
            "the pairs of measurements -- a separate t-test is performed for each pair of measurements.": [
                ""
            ],
            "the post-hoc multiple comparisons corrections to use.": [
                ""
            ],
            "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.01 and 2.0, default 0.707.": [
                ""
            ],
            "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707.": [
                ""
            ],
            "The Repeated Measures ANOVA is used to explore the relationship\nbetween a continuous dependent variable and one or more categorical\nexplanatory variables, where one or more of the explanatory variables\nare 'within subjects' (where multiple measurements are from the same\nsubject). Additionally, this analysis allows the inclusion of\ncovariates, allowing for repeated measures ANCOVAs as well.": [
                "Analiza ANOVA ponavljajočih meritev se uporablja za raziskovanje\nrazmerja med zvezno odvisno spremenljivko in eno ali več kategoričnimi\npojasnjevalnimi spremenljivkami, pri čemer je ena ali več pojasnjevalnih\nspremenljivk »znotraj primerov« (več meritev za isti primer). Ta analiza\nomogoča vključitev tudi kovariatnih spremenljivk, kar analizo ANCOVA\nponavljajočih meritev."
            ],
            "The Repeated Measures ANOVA is used to explore the relationship\nbetween a continuous dependent variable and one or more categorical\nexplanatory variables, where one or more of the explanatory variables\nare 'within subjects' (where multiple measurements are from the same\nsubject). Additionally, this analysis allows the inclusion of\ncovariates, allowing for repeated measures ANCOVAs as well.\n\nThis analysis requires that the data be in 'wide format', where each\nrow represents a subject (as opposed to long format, where each\nmeasurement of the dependent variable is represented as a row).\n\nA non-parametric equivalent of the repeated measures ANOVA also exists;\nthe Friedman test. However, it has the limitation of only being able to\ntest a single factor.": [
                "Analiza ANOVA ponavljajočih meritev se uporablja za raziskovanje\nrazmerja med zvezno odvisno spremenljivko in eno ali več kategoričnimi\npojasnjevalnimi spremenljivkami, pri čemer je ena ali več pojasnjevalnih\nspremenljivk »znotraj primerov« (več meritev za isti primer). Ta analiza\nomogoča vključitev tudi kovariatnih spremenljivk, kar analizo ANCOVA\nponavljajočih meritev.\n\nTa vrsta analize zahteva, da so podatki v t. i. »širokem zapisu«, kjer vsaka\nvrstica predstavlja primer (v nasprotju z »dolgim zapisom«, kjer je vsaka\nmeritev odvisne spremenljivke predstavljena kot vrstica).\n\nObstaja tudi neparametrična različica analize ANOVA ponavljajočih\nmeritev – Friedmanov test, a je omejen na preizkus le enega dejavnika."
            ],
            "the repeated measures design.": [
                ""
            ],
            "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels": [
                "Ponavljajoče meritve imajo le dve ravni. Predpostavka sferičnosti je izpolnjena vedno, ko ima ponavljajoča meritev le dve ravni"
            ],
            "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels.": [
                "Ponavljajoče meritve imajo le dve ravni. Predpostavka sferičnosti je izpolnjena vedno, ko ima ponavljajoča meritev le dve ravni."
            ],
            "the repeated measures measurements.": [
                ""
            ],
            "the repeated measures terms of the model.": [
                "pogoji ponovljenih meritev modela."
            ],
            "The Student's Independent samples t-test (sometimes called a two-samples\nt-test) is used to test the null hypothesis that two groups have the\nsame mean. A low p-value suggests that the null hypothesis is not true,\nand therefore the group means are different.": [
                "T-Test neodvisnih vzorcev (tudi t-test dveh vzorcev) se uporablja za preverjanje\nničelne hipoteze, da imata dve skupini enako povprečno vrednost. Nizka\np-vrednost pomeni, da ničelna hipoteza ne drži, in sta povprečji skupin različni."
            ],
            "The Student's Independent samples t-test (sometimes called a two-samples\nt-test) is used to test the null hypothesis that two groups have the\nsame mean. A low p-value suggests that the null hypothesis is not true,\nand therefore the group means are different.\n\nThe Student's independent t-test assumes that the data from each group\nare from a normal distribution, and that the variances of these groups\nare equal. If unwilling to assume the groups have equal variances, the\nWelch's t-test can be used in it's place. If one is additionally\nunwilling to assume the data from each group are from a normal\ndistribution, the non-parametric Mann-Whitney U test can be used instead\n(However, note that the Mann-Whitney U test has a slightly different\nnull hypothesis; that the distributions of each group is equal).": [
                "T-Test neodvisnih vzorcev (tudi t-test dveh vzorcev) se uporablja za preverjanje\nničelne hipoteze, da imata dve skupini enako povprečno vrednost. Nizka\np-vrednost pomeni, da ničelna hipoteza ne drži, in sta torej povprečji skupin različni.\n\nT-Test neodvisnih vzorcev predpostavlja, da so podatki vsake skupine porazdeljeni\nnormalno in so variance teh skupin enake. Če ni mogoče predpostaviti, da so podatki\nskupin enako razpršeni, je mogoče uporabiti Welchev T-Test. Če dodatno ni mogoče\ndomnevati, da so podatki razporejeni normalno. je na voljo neparametričen\nMann-Whitneyev U test. (Upoštevati je treba, da ima Mann-Whitneyev U test nekoliko\ndrugačno ničelno hipotezo – da so porazdelitve vsake skupine enake)."
            ],
            "The Student's One-sample t-test is used to test the null hypothesis that\nthe true mean is equal to a particular value (typically zero). A low\np-value suggests that the null hypothesis is not true, and therefore\nthe true mean must be different from the test value.": [
                "T-Test enega vzorca se uporablja za preverjanje ničelne hipoteze,\nda je prava srednja vrednost vzorca enaka določeni vrednosti ali\nkonstanti (običajno nič). Nizka p-vrednost kaže, da ničelne hipoteze\nni mogoče potrditi, zato je pravo povprečje različno od testne vrednosti."
            ],
            "The Student's One-sample t-test is used to test the null hypothesis that\nthe true mean is equal to a particular value (typically zero). A low\np-value suggests that the null hypothesis is not true, and therefore\nthe true mean must be different from the test value.\n\nThe Student's One-sample t-test assumes that the data are from a normal\ndistribution -- in the case that one is unwilling to assume this, the\nnon-parametric Wilcoxon signed-rank can be used in it's place (However,\nnote that the Wilcoxon signed-rank has a slightly different null\nhypothesis; that the *median* is equal to the test value).": [
                "T-Test enega vzorca se uporablja za preverjanje ničelne hipoteze,\nda je prava srednja vrednost vzorca enaka določeni vrednosti ali\nkonstanti (običajno nič). Nizka p-vrednost kaže, da ničelne hipoteze\nni mogoče potrditi, zato je pravo povprečje različno od testne vrednosti.\n\nT-Test enega vzorca predpostavlja, da so podatki porazdeljeni normalno.\nČe ta domneva ni mogoča, je na voljo neparametrični Wilcoxonov preizkus\npredznačenih rangov (upoštevati je treba, da ima ta preizkus nekoliko\ndrugačno ničelno hipotezo – da je *mediana* enaka testni vrednosti)."
            ],
            "The Student's paired samples t-test (sometimes called a\ndependent-samples t-test) is used to test the null hypothesis that the\ndifference between pairs of measurements is equal to zero. A low p-value\nsuggests that the null hypothesis is not true, and that the\ndifference between the measurement pairs is not zero.": [
                "T-Test za parnih vzorcev (tudi t-test odvisnih vzorcev) se uporablja\nza preverjanje ničelne hipoteze, da ni razlike med pari meritev.\nNizka p-vrednost kaže, da ničelna hipoteza ne drži in da razlika\nmed pari meritev obstaja in ni enaka nič."
            ],
            "The Student's paired samples t-test (sometimes called a\ndependent-samples t-test) is used to test the null hypothesis that the\ndifference between pairs of measurements is equal to zero. A low p-value\nsuggests that the null hypothesis is not true, and that the\ndifference between the measurement pairs is not zero.\n\nThe Student's paired samples t-test assumes that pair differences follow\na normal distribution -- in the case that one is unwilling to assume\nthis, the non-parametric Wilcoxon signed-rank can be used in it's place\n(However, note that the Wilcoxon signed-rank has a slightly different\nnull hypothesis; that the two groups of measurements follow the same\ndistribution).": [
                "T-Test za parnih vzorcev (tudi t-test odvisnih vzorcev) se uporablja\nza preverjanje ničelne hipoteze, da ni razlike med pari meritev.\nNizka p-vrednost kaže, da ničelna hipoteza ne drži in da razlika\nmed pari meritev obstaja in ni enaka nič.\n\nPri T-Testu parnih vzorcev je predpostavljeno, da sledijo razlike\nmed pari normalni porazdelitvi. Če ta domneva ni mogoča, je\nmogoče uporabiti neparametrični Wilcoxonov preizkus\npredznačenih rangov (ta ima nekoliko drugačno ničelno\nhipotezo – obe skupini meritev imata enaki porazdelitvi)."
            ],
            "the terms to provide estimated marginal means for. Here you can specify multiple terms.": [
                "pogoji za izračun ocene robnih povprečij. Določiti je mogoče več pogojev."
            ],
            "the test value to test against (typically zero).": [
                "vrednost, ki pomeni preizkusno raven (običajno je nič)."
            ],
            "the type of correlation to calculate": [
                "vrsta korelacije za izračun"
            ],
            "the type of sums of squares to use; Type 1, 2, or 3.": [
                "vrsta vsote kvadratov za uporabo; vrsta 1, 2 ali 3."
            ],
            "the type of sums of squares to use; Type 2, or 3.": [
                "vrsta vsote kvadratov za uporabo; vrsta 2 ali 3."
            ],
            "The underlying `aov` object": [
                "Osnovni predmet `aov`"
            ],
            "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable.": [
                "Vrednosti spremenljivke {var} ni mogoče obravnavati kot številke. Izrisi diagramov, ki zahtevajo številske vrednosti, bodo izpuščeni."
            ],
            "the variable of interest in `data` (not necessary when using a formula, see the examples)": [
                ""
            ],
            "the variable specifying the groups; must have 2 levels.": [
                "spremenljivka, ki določa dve skupini; vsebovati mora 2 ravni."
            ],
            "the variable to use as the columns in the contingency table (not necessary when providing a formula, see the examples)": [
                "spremenljivka, ki naj določa stolpce v kontingenčni razpredelnici (pri formuli ni zahtevana, več med primeri)"
            ],
            "the variable to use as the counts in the contingency table (not necessary when providing a formula, see the examples)": [
                "spremenljivka, ki naj določa števce v kontingenčni razpredelnici (pri formuli ni zahtevana, več med primeri)"
            ],
            "the variable to use as the rows in the contingency table (not necessary when providing a formula, see the examples)": [
                "spremenljivka, ki naj določa vrstice v kontingenčni razpredelnici (pri formuli ni zahtevana, več med primeri)"
            ],
            "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables.": [
                "Vrednosti spremenljivk {var} ni mogoče obravnavati kot številke. Izrisi diagramov, ki zahtevajo številske vrednosti, bodo izpuščeni."
            ],
            "the variables of interest -- a separate t-test is performed for each variable specified.": [
                ""
            ],
            "the variables of interest.": [
                ""
            ],
            "the variables to use to split the contingency table (not necessary when providing a formula, see the examples)": [
                ""
            ],
            "the width for the Confidence intervals.": [
                "širina intervala zaupanja."
            ],
            "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested.": [
                "S testom skladnosti χ² (ni enak testu neodvisnosti χ²) se preverja ničelna hipoteza, da se deleži opazovanj ujemajo z nekaterimi pričakovanimi deleži. Nizka p-vrednost, pomeni, da je ničelna hipoteza napačna in da so resnična razmerja drugačna od testiranih."
            ],
            "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables.": [
                "Test asociacij χ² (ni enak testu skladnosti χ²) se uporablja za preverjanje, ali sta dve kategorični spremenljivki neodvisni ali povezani. Nizka p-vrednost, pomeni, da spremenljivki nista neodvisni in da med njima obstaja povezava."
            ],
            "Theoretical Quantiles": [
                "Teoretični kvantili"
            ],
            "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc).": [
                "Ta modul vključuje analize, ki so del programskega paketa jamovi. Vključuje številne običajne analize (T-Testi, ANOVA, regresije, korelacijske matrike, proporcionalne teste, kontingenčne razpredelnice, faktorske analize in drugo)."
            ],
            "Threshold": [
                "Prag"
            ],
            "Thresholds": [
                "Pragi"
            ],
            "Thurstone": [
                "Thurstonenova lestvica"
            ],
            "Tjur's R²": [
                ""
            ],
            "TLI": [
                "Tucker-Lewisov indeks (TLI)"
            ],
            "Tolerance": [
                ""
            ],
            "Too few observations (N < 3) to compute statistic": [
                "Za izračun statistik je zbranih je premalo podatkov (N < 3)"
            ],
            "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables.": [
                "Za izračun statistik je zbranih je premalo podatkov. Vsaka (pod)skupina mora bimeti vsaj toliko primerov, kot je odvisnih spremenljivk."
            ],
            "Too few samples to compute statistic (N < {n})": [
                "Za izračun statistik je izbran premajhen vzorec (N < {n})"
            ],
            "Too few samples to compute statistic (N < 3)": [
                "Za izračun statistik je izbran premajhen vzorec (N < 3)"
            ],
            "Too many observations (N > 5000) to compute statistic": [
                "Za izračun statistik je uporabljenih preveč podatkov (N > 5000)"
            ],
            "Too many samples to compute statistic (N > {n})": [
                "Za izračun statistik je izbran prevelik vzorec (N > {n})"
            ],
            "Too many samples to compute statistic (N > 5000)": [
                "Za izračun statistik je izbran prevelik vzorec (N > 5000)"
            ],
            "Tooth Growth": [
                "Podatki: Rast zob"
            ],
            "Total": [
                "Skupno"
            ],
            "total_pc (default), column_pc, or row_pc. Use respectively percentages `of total`, `within columns`, or `within rows` for the bar plot y-axis.": [
                ""
            ],
            "Tukey": [
                "Tukeyev test"
            ],
            "Tukey (equal variances)": [
                "Tukeyev test (enake variance)"
            ],
            "Tukey Post-Hoc Test – {dep}": [
                "Tukeyev Post-Hoc test – {dep}"
            ],
            "Type {ssType} Sums of Squares": [
                "Vrsta {ssType} vsote kvadratov"
            ],
            "Type 1": [
                "Vrsta 1"
            ],
            "Type 2": [
                "Vrsta 2"
            ],
            "Type 3": [
                "Vrsta 3"
            ],
            "Type 3 sum of squares": [
                "Vrsta 3 vsote kvadratov"
            ],
            "Unable to split by a continuous variable": [
                "Podatkov ni mogoče razdeliti na osnovi zvezne spremenljivke"
            ],
            "Uniqueness": [
                "Enkratnost"
            ],
            "Univariate Tests": [
                "Univariatne analize"
            ],
            "Upper": [
                "Zgornji"
            ],
            "upper bound": [
                "zgornja meja"
            ],
            "Value": [
                "Vrednost"
            ],
            "value": [
                "vrednost"
            ],
            "values": [
                ""
            ],
            "Values are counts": [
                "Vrednosti so števci"
            ],
            "Variable": [
                "Spremenljiva"
            ],
            "Variable '{var}' contains no data": [
                "Spremenljivka »{var} je brez podatkov"
            ],
            "Variable contains infinite values": [
                "Spremenljivka vsebuje neskončne vrednosti"
            ],
            "Variable does not contain enough observations": [
                "Spremenljivka ne vsebuje dovoljšnega števila opažanj"
            ],
            "Variable is not numeric": [
                "Spremenljivka ni številska"
            ],
            "Variables": [
                "Spremenljivke"
            ],
            "Variables across columns": [
                "Spremenljivke po stolpcih"
            ],
            "Variables across rows": [
                "Spremenljivke po vrsticah"
            ],
            "Variables must have at least two levels": [
                "Spremenljivke morajo imeti vsaj 2 ravni"
            ],
            "Variance": [
                "Varianca"
            ],
            "Variances": [
                "Variance"
            ],
            "variation from the control variables is only removed from the variables in the columns": [
                "variacija nadzornih spremenljivk se odstrani le iz spremenljivk v stolpcih"
            ],
            "Varimax": [
                "Varimax (variance uteži)"
            ],
            "varimax": [
                "varianca uteži"
            ],
            "VIF": [
                "Faktor napihovanja variance (VIF)"
            ],
            "Violin": [
                "Violina"
            ],
            "W": [
                "W"
            ],
            "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)": [
                "enaka uteženost celic (privzeto so celice utežene glede na frekvenco.)"
            ],
            "Weight Variable": [
                ""
            ],
            "Weighted by '{varName}'": [
                "Uteženo po spremenljivki »{varName}«"
            ],
            "Weights": [
                ""
            ],
            "Weights (optional)": [
                "Uteži (izbirno)"
            ],
            "Weights contains negative values. Negative weights are not permitted.": [
                ""
            ],
            "Welch's": [
                "Welchev t"
            ],
            "Welch's t": [
                "Welchev t"
            ],
            "Wilcoxon rank": [
                "Wilcoxonov preizkus rangov"
            ],
            "Wilcoxon signed rank test": [
                "Wilcoxonov preizkus predznačenih rangov"
            ],
            "Wilcoxon W": [
                "Wilcoxonov W"
            ],
            "Wilks' Lambda": [
                "Wilksova Lambda"
            ],
            "within column": [
                "po stolpcu"
            ],
            "within rows": [
                "po vrsticah"
            ],
            "Within Subjects Effects": [
                "Učinki med primeri"
            ],
            "X-Axis": [
                "X-os"
            ],
            "X-axis": [
                "Os X"
            ],
            "Y-Axis": [
                "Y-os"
            ],
            "Y-axis": [
                "Os Y"
            ],
            "ycounts (default) or ypc. Use respectively `counts` or `percentages` for the bar plot y-axis": [
                ""
            ],
            "Z": [
                "Z"
            ],
            "z test difference in 2 proportions": [
                "z-test razlike dveh deležev"
            ],
            "z test for difference in 2 proportions": [
                "z-test razlike dveh sorazmernih deležev"
            ],
            "z test only available for 2x2 tables": [
                "z-test je na voljo le za razpredelnice 2 ‧ 2"
            ],
            "ΔR²": [
                "ΔR²"
            ],
            "ε²": [
                "ε²"
            ],
            "η²": [
                "η²"
            ],
            "η²<sub>G</sub>": [
                "η²<sub>G</sub>"
            ],
            "η²<sub>p</sub>": [
                "η²<sub>p</sub>"
            ],
            "η²p": [
                "η²p"
            ],
            "χ²": [
                "χ²"
            ],
            "χ² continuity correction": [
                "χ² popravek zveznosti"
            ],
            "χ² Goodness of Fit": [
                "Skladnost χ² (GoF)"
            ],
            "χ² Goodness of fit": [
                "Skladnost χ² (GoF)"
            ],
            "χ² test": [
                "χ²-test"
            ],
            "χ² test of association": [
                "Test asociacij χ²"
            ],
            "χ² Tests": [
                "Testi χ²"
            ],
            "ω²": [
                "ω²"
            ],
            "specific factor\u0004Factor": [
                "Faktor"
            ]
        }
    },
    "code": "sl"
}