96 lines
1.8 KiB
Plaintext
96 lines
1.8 KiB
Plaintext
<%@include file="includes/setup.md.rsp"%>
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<%@string colname="colAnyMissings"%>
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<%@string rowname="rowAnyMissings"%>
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<%@meta title="${colname}() and ${rowname}() benchmarks"%>
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<%@meta author="Henrik Bengtsson"%>
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<%@meta date="2014-06-09"%>
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<%@include file="${header}"%>
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# <%@meta name="title"%>
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This report benchmark the performance of <%=colname%>() and <%=rowname%>() against alternative methods.
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## Alternative methods
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* colAnyMissings() and rowAnyMissings()
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* apply() + anyMissing()
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* colSums() + is.na() and rowSums() + is.na()
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where
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```r
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<%=withCapture({
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colAnyMissings <- function(x, ...) colAnys(x, value = NA)
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})%>
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```
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and
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```r
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<%=withCapture({
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rowAnyMissings <- function(x, ...) rowAnys(x, value = NA)
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})%>
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```
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<% for (mode in c("integer", "double")) { %>
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## Data type "<%=mode%>"
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### Data
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```r
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<%=withCapture({
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<%@include file="R/random-matrices.R"%>
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data <- rmatrices(mode = mode)
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})%>
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```
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## Results
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<% for (dataLabel in names(data)) { %>
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<% mprintf("%s: %s\n", mode, dataLabel) %>
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### <%=dataLabel%> matrix
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```r
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<%=withCapture({
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X <- data[[.dataLabel.]]
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gc()
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colStats <- microbenchmark(
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colAnyMissings = colAnyMissings(X),
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"apply+anyMissing" = apply(X, MARGIN = 2L, FUN = anyMissing),
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colSums = is.na(colSums(X, na.rm = FALSE)),
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unit = "ms"
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)
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X <- t(X)
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gc()
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rowStats <- microbenchmark(
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rowAnyMissings = rowAnyMissings(X),
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"apply+anyMissing" = apply(X, MARGIN = 1L, FUN = anyMissing),
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rowSums = is.na(rowSums(X, na.rm = FALSE)),
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unit = "ms"
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)
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})%>
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```
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<% crBenchmarkResults(colStats, rowStats, tags=c(mode, dataLabel)) %>
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<% } # for (dataLabel ...) %>
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<% } # for (mode ...) %>
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<%@include file="${footer}"%>
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<%---------------------------------------------------------------------------
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HISTORY:
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2014-06-09
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o Created.
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---------------------------------------------------------------------------%>
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