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2025-01-12 00:52:51 +08:00
<%@include file="includes/setup.md.rsp"%>
<%@string colname="colVars"%>
<%@string rowname="rowVars"%>
<%@string fcnname="colRowVars_subset"%>
<%@meta title="${colname}() and ${rowname}() benchmarks on subsetted computation"%>
<%@meta author="Dongcan Jiang"%>
<%@meta date="2015-06-07"%>
<%@include file="${header}"%>
# <%@meta name="title"%>
This report benchmark the performance of <%=colname%>() and <%=rowname%>() on subsetted computation.
<% 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.]]
rows <- sample.int(nrow(X), size = nrow(X)*0.7)
cols <- sample.int(ncol(X), size = ncol(X)*0.7)
X_S <- X[rows, cols]
gc()
colStats <- microbenchmark(
"colVars_X_S" = colVars(X_S, na.rm = FALSE),
"colVars(X, rows, cols)" = colVars(X, rows = rows, cols = cols, na.rm = FALSE),
"colVars(X[rows, cols])" = colVars(X[rows, cols], na.rm = FALSE),
unit = "ms"
)
X <- t(X)
X_S <- t(X_S)
gc()
rowStats <- microbenchmark(
"rowVars_X_S" = rowVars(X_S, na.rm = FALSE),
"rowVars(X, cols, rows)" = rowVars(X, rows = cols, cols = rows, na.rm = FALSE),
"rowVars(X[cols, rows])" = rowVars(X[cols, rows], na.rm = FALSE),
unit = "ms"
)
})%>
```
<% crBenchmarkResults(colStats, rowStats, tags=c(mode, dataLabel)) %>
<% } # for (dataLabel ...) %>
<% } # for (mode ...) %>
<%@include file="${footer}"%>
<%---------------------------------------------------------------------------
HISTORY:
2015-06-07
o Created.
---------------------------------------------------------------------------%>