adjboxStats            package:robustbase            R Documentation

_S_t_a_t_i_s_t_i_c_s _f_o_r _S_k_e_w_n_e_s_s-_a_d_j_u_s_t_e_d _B_o_x_p_l_o_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Computes the "statistics" for producing boxplots adjusted for
     skewed distributions as proposed in Hubert and Vandervieren
     (2004).

_U_s_a_g_e:

     adjboxStats(x, coef = 1.5, a = -4, b = 3, do.conf = TRUE, do.out = TRUE)

_A_r_g_u_m_e_n_t_s:

       x: ~~Describe 'x' here~~ 

    coef: ~~Describe 'coef' here~~ 

       a: ~~Describe 'a' here~~ 

       b: ~~Describe 'b' here~~ 

 do.conf: ~~Describe 'do.conf' here~~ 

  do.out: ~~Describe 'do.out' here~~ 

_V_a_l_u_e:

     A 'list' with the components

   stats: a matrix, each column contains the extreme of the lower
          whisker, the lower hinge, the median, the upper hinge and the
          extreme of the upper whisker for one group/plot. If all the
          inputs have the same class attribute, so will this component.

       n: a vector with the number of observations in each group.

    coef: a matrix where each column contains the lower and upper
          extremes of the notch.

     out: the values of any data points which lie beyond the extremes
          of the whiskers.

_N_o_t_e:

     The code slightly modifies the code of 'boxplot.stats'.

_A_u_t_h_o_r(_s):

     R Core Development Team, slightly adapted by Tobias Verbeke

_S_e_e _A_l_s_o:

     'adjbox()', also for references, the function which mainly uses
     this one; further 'boxplot.stats'.

_E_x_a_m_p_l_e_s:

     data(condroz)
     astat <- adjboxStats(condroz[,"Ca"])
     astat

