79 lines
1.6 KiB
Plaintext
79 lines
1.6 KiB
Plaintext
<%@include file="includes/setup.md.rsp"%>
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<%@string fcnname="binMeans"%>
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<%@string subname="binMeans"%>
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<%@meta title="${subname}() benchmarks on subsetted computation"%>
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<%@meta author="Dongcan Jiang"%>
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<%@meta date="2014-06-05"%>
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<%@include file="${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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## Results
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### Non-sorted simulated data
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```r
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<%=withCapture({
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nx <- 100e3 # Number of data points
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set.seed(0xBEEF)
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x <- runif(nx, min = 0, max = 1)
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y <- runif(nx, min = 0, max = 1)
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# Uniformely distributed bins
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nb <- 1e3 # Number of bins
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bx <- seq(from = 0, to = 1, length.out = nb+1L)
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bx <- c(-1, bx, 2)
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# indices for subsetting
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idxs <- sample.int(length(x), size = length(x)*0.7)
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})%>
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```
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<% benchmark <- function() { %>
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<% dataLabel <- if (is.unsorted(x)) "unsorted" else "sorted" %>
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<% message(dataLabel) %>
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```r
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<%=withCapture({
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x_S <- x[idxs]
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y_S <- y[idxs]
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gc()
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stats <- microbenchmark(
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"binMeans_x_y_S" = binMeans(x = x_S, y = y_S, bx = bx, count = TRUE),
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"binMeans(x, y, idxs)" = binMeans(x = x, y = y, idxs = idxs, bx = bx, count = TRUE),
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"binMeans(x[idxs], y[idxs])" = binMeans(x = x[idxs], y = y[idxs], bx = bx, count = TRUE),
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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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<% } # benchmark() %>
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<% benchmark() %>
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### Sorted simulated data
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```r
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<%=withCapture({
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x <- sort(x)
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idxs <- sort(idxs)
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})%>
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```
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<% benchmark() %>
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<%@include file="${footer}"%>
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<%---------------------------------------------------------------------------
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HISTORY:
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2014-06-05
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o Created.
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---------------------------------------------------------------------------%>
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