72 lines
1.6 KiB
Plaintext
72 lines
1.6 KiB
Plaintext
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<%@include file="includes/setup.md.rsp"%>
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<%@string fcnname="mean2_subset"%>
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<%@string subname="mean2"%>
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<%@meta title="${subname}() benchmarks on subsetted computation"%>
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<%@meta author="Dongcan Jiang"%>
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<%@meta date="2015-06-07"%>
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<%@include file="${header}"%>
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# <%@meta name="title"%>
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This report benchmark the performance of <%=subname%>() 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-vectors.R"%>
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data <- rvectors(mode = mode)
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##data <- data[1:3]
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})%>
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```
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### Results
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<% for (ii in seq_along(data)) { %>
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<%
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dataLabel <- names(data)[ii]
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mprintf("%s: %s\n", mode, dataLabel)
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%>
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### <%=dataLabel%> vector
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```r
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<%=withCapture({
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x <- data[[.dataLabel.]]
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idxs <- sample.int(length(x), size = length(x)*0.7)
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x_S <- x[idxs]
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gc()
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stats <- microbenchmark(
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"mean2_x_S" = mean2(x_S, refine = TRUE),
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"mean2_x_S_no_refine" = mean2(x_S, refine = FALSE),
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"mean2(x, idxs)" = mean2(x, idxs = idxs, refine = TRUE),
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"mean2_no_refine(x, idxs)" = mean2(x, idxs = idxs, refine = FALSE),
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"mean2(x[idxs])" = mean2(x[idxs], refine = TRUE),
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"mean2_no_refine(x[idxs])" = mean2(x[idxs], refine = FALSE),
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unit = "ms"
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)
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})%>
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```
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<% benchmarkResults(stats, tags=c(mode, dataLabel)) %>
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<% } # for (ii ...) %>
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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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2015-06-07
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o Created.
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---------------------------------------------------------------------------%>
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