73 lines
1.6 KiB
Plaintext
73 lines
1.6 KiB
Plaintext
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<%@include file="includes/setup.md.rsp"%>
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<%@string colname="colMeans2"%>
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<%@string rowname="rowMeans2"%>
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<%@meta title="${colname}() and ${rowname}() benchmarks"%>
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<%@meta author="Henrik Bengtsson"%>
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<%@meta date="2017-03-31"%>
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<%@include file="${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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* apply() + mean()
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* .colMeans() and .rowMeans()
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* colMeans() and rowMeans()
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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%> <%=mode%> 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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colMeans2 = colMeans2(X, na.rm = FALSE),
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.colMeans = .colMeans(X, m = nrow(X), n = ncol(X), na.rm = FALSE),
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colMeans = colMeans(X, na.rm = FALSE),
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"apply+mean" = apply(X, MARGIN = 2L, FUN = mean, 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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rowMeans2 = rowMeans2(X, na.rm = FALSE),
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.rowMeans = .rowMeans(X, m = nrow(X), n = ncol(X), na.rm = FALSE),
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rowMeans = rowMeans(X, na.rm = FALSE),
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"apply+mean" = apply(X, MARGIN = 1L, FUN = mean, 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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