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

<%@string fcnname="sum2"%>
<% 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({
sum2_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(
 "sum2"         = sum2(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(
 "sum2"         = sum2(x, idxs = idxs),
 "sum+[()"         = sum2_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.
---------------------------------------------------------------------------%>