/usr/lib/R/site-library/matrixStats/benchmarking/sumOver.md.rsp is in r-cran-matrixstats 0.14.2-1.
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<%@string fcnname="sumOver"%>
<% fcnname <- "<%@string name="fcnname"%>" %>
<%@meta title="${fcnname}() benchmarks"%>
<%@meta author="Henrik Bengtsson"%>
<%@meta date="2014-11-02"%>
<%@include file="${header}"%>
# <%@meta name="title"%>
This report benchmark the performance of <%=fcnname%>() against alternative methods.
## Alternative methods
* sum() + [()
as below
```r
<%=withCapture({
sumOver_R <- function(x, na.rm=FALSE, idxs) {
sum(x[idxs], na.rm=na.rm)
}
})%>
```
<% for (mode in c("integer", "double")) { %>
## Data type "<%=mode%>"
### Data
```r
<%=withCapture({
<%@include file="R/random-vectors.R"%>
data <- rvectors(mode=mode)
##data <- data[1:3]
})%>
```
### Results
<% for (ii in seq_along(data)) { %>
<%
dataLabel <- names(data)[ii]
mprintf("%s: %s\n", mode, dataLabel)
x <- data[[dataLabel]]
gc()
%>
### <%=dataLabel%> vector
#### All elements
```r
<%=withCapture({
x <- data[[.dataLabel.]]
gc()
stats <- microbenchmark(
"sumOver" = sumOver(x),
"sum" = sum(x),
unit = "ms"
)
})%>
```
<% benchmarkResults(stats, tags=c(dataLabel, "all")) %>
<% for (subset in c(0.2, 0.4, 0.8)) { %>
#### A <%=sprintf("%g", 100*subset)%>% subset
```r
<%=withCapture({
x <- data[[.dataLabel.]]
subset
idxs <- sort(sample(length(x), size=subset*length(x), replace=FALSE))
gc()
stats <- microbenchmark(
"sumOver" = sumOver(x, idxs=idxs),
"sum+[()" = sumOver_R(x, idxs=idxs),
unit = "ms"
)
})%>
```
<% benchmarkResults(stats, tags=c(mode, dataLabel, subset)) %>
<% } # for (subset in ...) %>
<% } # for (ii ...) %>
<% } # for (mode ...) %>
<%@include file="${footer}"%>
<%---------------------------------------------------------------------------
HISTORY:
2014-11-02
o Created.
---------------------------------------------------------------------------%>
|