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<%@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.
---------------------------------------------------------------------------%>