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

<%@string colname="colDiffs"%>
<%@string rowname="rowDiffs"%>
<%@meta title="${colname}() and ${rowname}() benchmarks"%>
<%@meta author="Henrik Bengtsson"%>
<%@meta date="2014-12-30"%>

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


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

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

## Alternative methods

* apply() + diff()
* apply() + diff2()
* diff()

<% 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(
 colDiffs      = colDiffs(X),
 "apply+diff"  = apply(X, MARGIN = 2L, FUN = diff),
 "apply+diff2" = apply(X, MARGIN = 2L, FUN = diff2),
 diff          = diff(X),
 unit = "ms"
)

X <- t(X)
gc()

rowStats <- microbenchmark(
 rowDiffs      = rowDiffs(X),
 "apply+diff"  = apply(X, MARGIN = 1L, FUN = diff),
 "apply+diff2" = apply(X, MARGIN = 1L, FUN = diff2),
 "diff + t"    = diff(t(X)),
 unit = "ms"
)
})%>
```

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

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

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

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


<%---------------------------------------------------------------------------
HISTORY:
2014-11-17
o Created.
---------------------------------------------------------------------------%>
