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

<%@string colname="colTabulates"%>
<%@string rowname="rowTabulates"%>
<%@string fcnname="colRowTabulates_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 = "integer", range = c(-10, 10))
})%>
```

## 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()

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

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

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

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

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


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


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