95 lines
2.0 KiB
Plaintext
95 lines
2.0 KiB
Plaintext
<%@include file="includes/setup.md.rsp"%>
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<%@string colname="colCounts"%>
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<%@string rowname="rowCounts"%>
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<%@string fcnname="colRowCounts_subset"%>
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<%@meta title="${colname}() and ${rowname}() benchmarks on subsetted computation"%>
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<%@meta author="Dongcan Jiang"%>
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<%@meta date="2015-04-18"%>
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<%@include file="${header}"%>
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# <%@meta name="title"%>
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This report benchmark the performance of <%=colname%>() and <%=rowname%>() on subsetted computation.
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<% for (mode in c("logical", "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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<% message(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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rows <- sample.int(nrow(X), size = nrow(X)*0.7)
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cols <- sample.int(ncol(X), size = ncol(X)*0.7)
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X_S <- X[rows, cols]
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value <- 42
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})%>
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```
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<% gc() %>
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```r
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<%=withCapture({
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colStats <- microbenchmark(
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"colCounts_X_S" = colCounts(X_S, value = value, na.rm = FALSE),
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"colCounts(X, rows, cols)" = colCounts(X, value = value, na.rm = FALSE, rows = rows, cols = cols),
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"colCounts(X[rows, cols])" = colCounts(X[rows, cols], value = value, 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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```r
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<%=withCapture({
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X <- t(X)
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X_S <- t(X_S)
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})%>
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```
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<% gc() %>
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```r
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<%=withCapture({
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rowStats <- microbenchmark(
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"rowCounts_X_S" = rowCounts(X_S, value = value, na.rm = FALSE),
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"rowCounts(X, cols, rows)" = rowCounts(X, value = value, na.rm = FALSE, rows = cols, cols = rows),
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"rowCounts(X[cols, rows])" = rowCounts(X[cols, rows], value = value, 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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2015-04-18
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o Created.
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---------------------------------------------------------------------------%>
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