80 lines
1.8 KiB
Plaintext
80 lines
1.8 KiB
Plaintext
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<%@include file="includes/setup.md.rsp"%>
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<%@string colname="colAnyMissings"%>
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<%@string rowname="rowAnyMissings"%>
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<%@string fcnname="colRowAnyMissings_subset"%>
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<%@meta title="${colname}() and ${rowname}() benchmarks on subsetted computation"%>
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<%@meta author="Dongcan Jiang"%>
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<%@meta date="2015-06-06"%>
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<%@include file="${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("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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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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gc()
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colStats <- microbenchmark(
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"colAnyMissings_X_S" = colAnyMissings(X_S),
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"colAnyMissings(X, rows, cols)" = colAnyMissings(X, rows = rows, cols = cols),
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"colAnyMissings(X[rows, cols])" = colAnyMissings(X[rows, cols]),
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unit = "ms"
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)
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X <- t(X)
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X_S <- t(X_S)
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gc()
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rowStats <- microbenchmark(
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"rowAnyMissings_X_S" = rowAnyMissings(X_S),
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"rowAnyMissings(X, cols, rows)" = rowAnyMissings(X, rows = cols, cols = rows),
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"rowAnyMissings(X[cols, rows])" = rowAnyMissings(X[cols, rows]),
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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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2015-06-06
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o Created.
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---------------------------------------------------------------------------%>
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