<%@include file="includes/setup.md.rsp"%>

<%@string colname="colSums2"%>
<%@string rowname="rowSums2"%>
<%@meta title="${colname}() and ${rowname}() benchmarks"%>
<%@meta author="Henrik Bengtsson"%>
<%@meta date="2017-03-31"%>

<%@include file="${header}"%>

# <%@meta name="title"%>

This report benchmark the performance of <%=colname%>() and <%=rowname%>() against alternative methods.

## Alternative methods

* apply() + sum()
* colSums() and rowSums()
* .colSums() and .rowSums()

<% for (mode in c("integer", "double")) { %>

## Data type "<%=mode%>"

### Data
```r
<%=withCapture({
<%@include file="R/random-matrices.R"%>
data <- rmatrices(mode = mode)
})%>
```

### Results

<% for (dataLabel in names(data)) { %>
<% mprintf("%s: %s\n", mode, dataLabel)  %>
#### <%=dataLabel%> <%=mode%> matrix

```r
<%=withCapture({
X <- data[[.dataLabel.]]
gc()

colStats <- microbenchmark(
 colSums2    = colSums2(X, na.rm = FALSE),
 .colSums    = .colSums(X, m = nrow(X), n = ncol(X), na.rm = FALSE),
 colSums     = colSums(X, na.rm = FALSE),
"apply+sum"  = apply(X, MARGIN = 2L, FUN = sum, na.rm = FALSE),
 unit = "ms"
)

X <- t(X)
gc()

rowStats <- microbenchmark(
 rowSums2    = rowSums2(X, na.rm = FALSE),
 .rowSums    = .rowSums(X, m = nrow(X), n = ncol(X), na.rm = FALSE),
 rowSums     = rowSums(X, na.rm = FALSE),
"apply+sum"  = apply(X, MARGIN = 1L, FUN = sum, na.rm = FALSE),
 unit = "ms"
)
})%>
```

<% crBenchmarkResults(colStats, rowStats, tags=c(mode, dataLabel)) %>

<% } # for (dataLabel ...) %>

<% } # for (mode ...) %>


<%@include file="${footer}"%>
