68 lines
1.5 KiB
Plaintext
68 lines
1.5 KiB
Plaintext
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<%@include file="includes/setup.md.rsp"%>
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<%@string fcnname="weightedMedian_subset"%>
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<%@string subname="weightedMedian"%>
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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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<%
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weightedMedian <- matrixStats::weightedMedian
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%>
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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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## 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 = "double")
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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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message(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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w <- runif(length(x))
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w_S <- x[idxs]
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gc()
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stats <- microbenchmark(
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"weightedMedian_x_w_S" = weightedMedian(x_S, w = w_S, ties = "mean", na.rm = FALSE),
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"weightedMedian(x, w, idxs)" = weightedMedian(x, w = w, idxs = idxs, ties = "mean", na.rm = FALSE),
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"weightedMedian(x[idxs], w[idxs])" = weightedMedian(x[idxs], w = w[idxs], ties = "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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<% benchmarkResults(stats, tags=dataLabel) %>
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<% } # for (ii ...) %>
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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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