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

<%@string colname="colCounts"%>
<%@string rowname="rowCounts"%>
<%@string fcnname="colRowCounts_subset"%>
<%@meta title="${colname}() and ${rowname}() benchmarks on subsetted computation"%>
<%@meta author="Dongcan Jiang"%>
<%@meta date="2015-04-18"%>

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


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

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


<% for (mode in c("logical", "integer", "double")) { %>

## Data type "<%=mode%>"

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

### 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]
value <- 42
})%>
```

<% gc() %>

```r
<%=withCapture({
colStats <- microbenchmark(
 "colCounts_X_S"           = colCounts(X_S, value = value, na.rm = FALSE),
 "colCounts(X, rows, cols)"  = colCounts(X, value = value, na.rm = FALSE, rows = rows, cols = cols),
 "colCounts(X[rows, cols])" = colCounts(X[rows, cols], value = value, na.rm = FALSE),
 unit = "ms"
)
})%>
```

```r
<%=withCapture({
X <- t(X)
X_S <- t(X_S)
})%>
```

<% gc() %>

```r
<%=withCapture({
rowStats <- microbenchmark(
 "rowCounts_X_S"           = rowCounts(X_S, value = value, na.rm = FALSE),
 "rowCounts(X, cols, rows)"  = rowCounts(X, value = value, na.rm = FALSE, rows = cols, cols = rows),
 "rowCounts(X[cols, rows])" = rowCounts(X[cols, rows], value = value, na.rm = FALSE),
 unit = "ms"
)
})%>
```

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

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

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


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


<%---------------------------------------------------------------------------
HISTORY:
2015-04-18
o Created.
---------------------------------------------------------------------------%>