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2025-01-12 00:52:51 +08:00
<%@include file="includes/setup.md.rsp"%>
<%@string fcnname="madDiff_subset"%>
<%@string subname="madDiff"%>
<%@meta title="${subname}() benchmarks on subsetted computation"%>
<%@meta author="Dongcan Jiang"%>
<%@meta date="2015-06-07"%>
<%@include file="${header}"%>
# <%@meta name="title"%>
This report benchmark the performance of <%=subname%>() on subsetted computation.
<% for (mode in c("integer", "double")) { %>
## Data type "<%=mode%>"
### Data
```r
<%=withCapture({
<%@include file="R/random-vectors.R"%>
data <- rvectors(mode = mode)
})%>
```
### Results
<% for (ii in seq_along(data)) { %>
<%
dataLabel <- names(data)[ii]
mprintf("%s: %s\n", mode, dataLabel)
%>
### <%=dataLabel%> vector
```r
<%=withCapture({
x <- data[[.dataLabel.]]
idxs <- sample.int(length(x), size = length(x)*0.7)
x_S <- x[idxs]
gc()
stats <- microbenchmark(
"madDiff_x_S" = madDiff(x_S),
"madDiff(x, idxs)" = madDiff(x, idxs = idxs),
"madDiff(x[idxs])" = madDiff(x[idxs]),
unit = "ms"
)
})%>
```
<% benchmarkResults(stats, tags=c(mode, dataLabel)) %>
<% } # for (ii ...) %>
<% } # for (mode ...) %>
<%@include file="${footer}"%>
<%---------------------------------------------------------------------------
HISTORY:
2015-06-07
o Created.
---------------------------------------------------------------------------%>