122 lines
2.0 KiB
Plaintext
122 lines
2.0 KiB
Plaintext
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<%@include file="includes/setup.md.rsp"%>
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<%@string fcnname="x_OP_y"%>
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<% fcnname <- "<%@string name="fcnname"%>" %>
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<%@meta title="${fcnname}() benchmarks"%>
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<%@meta author="Henrik Bengtsson"%>
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<%@meta date="2014-11-26"%>
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<%@include file="${header}"%>
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# <%@meta name="title"%>
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This report benchmark the performance of <%=fcnname%>() against alternative methods.
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## Alternative methods
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* x_OP_y_R()
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as below
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```r
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<%=withCapture({
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x_OP_y_R <- function(x, y, OP, na.rm = FALSE) {
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if (na.rm) {
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xnok <- is.na(x)
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ynok <- is.na(y)
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anok <- xnok & ynok
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unit <- switch(OP,
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"+" = 0,
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"-" = NA_real_,
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"*" = 1,
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"/" = NA_real_,
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stop("Unknown 'OP' operator: ", OP)
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)
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x[xnok] <- unit
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y[ynok] <- unit
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}
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ans <- switch(OP,
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"+" = x + y,
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"-" = x - y,
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"*" = x * y,
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"/" = x / y,
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stop("Unknown 'OP' operator: ", OP)
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)
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if (na.rm) {
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ans[anok] <- NA_real_
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}
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ans
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} # x_OP_y_R()
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})%>
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```
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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 (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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x <- data[[dataLabel]]
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gc()
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%>
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### <%=dataLabel%> vector
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#### All elements
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```r
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<%=withCapture({
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x <- data[[.dataLabel.]]
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y <- x[, 1L]
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})%>
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```
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<% for (OP in c("+", "-", "*", "/")) { %>
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<%
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OPTag <- c("+" = "add", "-" = "sub", "*" = "mul", "/" = "div")[OP]
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gc()
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%>
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```r
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<%=withCapture({
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OP
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stats <- microbenchmark(
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"x_OP_y" = x_OP_y(x, y, OP = OP, na.rm = FALSE),
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"x_OP_y_R" = x_OP_y_R(x, y, OP = OP, na.rm = FALSE),
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unit = "ms"
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)
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gc()
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})%>
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```
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<% benchmarkResults(stats, tags=c(mode, dataLabel, OPTag)) %>
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<% } # for (OP ...) %>
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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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2014-11-26
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o Created.
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---------------------------------------------------------------------------%>
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