<%@include file="includes/setup.md.rsp"%>

<%@string colname="colQuantiles"%>
<%@string rowname="rowQuantiles"%>
<%@string fcnname="colRowQuantiles_subset"%>
<%@meta title="${colname}() and ${rowname}() benchmarks on subsetted computation"%>
<%@meta author="Dongcan Jiang"%>
<%@meta date="2015-06-07"%>

<%@include file="${header}"%>


# <%@meta name="title"%>

This report benchmark the performance of <%=colname%>() and <%=rowname%>() on subsetted computation.


## Data
```r
<%=withCapture({
<%@include file="R/random-matrices.R"%>
data <- rmatrices(mode = "double")
})%>
```

## Results

<% for (dataLabel in names(data)) { %>
<% message(dataLabel) %>
### <%=dataLabel%> matrix


```r
<%=withCapture({
X <- data[[.dataLabel.]]
rows <- sample.int(nrow(X), size = nrow(X)*0.7)
cols <- sample.int(ncol(X), size = ncol(X)*0.7)
X_S <- X[rows, cols]
gc()

probs <- seq(from = 0, to = 1, by = 0.25)

colStats <- microbenchmark(
 "colQuantiles_X_S"           = colQuantiles(X_S, probs = probs, na.rm = FALSE),
 "colQuantiles(X, rows, cols)"  = colQuantiles(X, rows = rows, cols = cols, probs = probs, na.rm = FALSE),
 "colQuantiles(X[rows, cols])" = colQuantiles(X[rows, cols], probs = probs, na.rm = FALSE),
 unit = "ms"
)

X <- t(X)
X_S <- t(X_S)
gc()

rowStats <- microbenchmark(
 "rowQuantiles_X_S"           = rowQuantiles(X_S, probs = probs, na.rm = FALSE),
 "rowQuantiles(X, cols, rows)"  = rowQuantiles(X, rows = cols, cols = rows, probs = probs, na.rm = FALSE),
 "rowQuantiles(X[cols, rows])" = rowQuantiles(X[cols, rows], probs = probs, na.rm = FALSE),
 unit = "ms"
)
})%>
```

<% crBenchmarkResults(colStats, rowStats, tags=dataLabel) %>

<% } # for (dataLabel ...) %>


<%@include file="${footer}"%>


<%---------------------------------------------------------------------------
HISTORY:
2015-06-07
o Created.
---------------------------------------------------------------------------%>
