proftools-package: Tools for examining R profile output
In ltierney/Rpkg-proftools: Profile Output Processing Tools for R

Tools for examining and displaying ouptut from the Rprof R profiling tool.

proftools provides a set of tools for summarizing and displaying time profile outpus produced by R's Rprof.

The starting point for a profiling analysis using proftools is to profile code using Rprof and then use readProfileData to read in the profile data into a sutable format for furhter processing. An alternative is to use the profileExpr function to handle profiling and reading in one step. The function filterProfileData can be used to narrow the profile data to particular regions of interest.

The summary functions funSummary and callSummary produce summaries at the function and call level. pathSummary produces a summary for each unique call stack, or path; and hotPaths identifies produces path data ordered to show the hottest paths first.

If source information is recorded when profiling then srcSummary to show profiling by source lines, and annotateSource produces an annotated version of the source files.

The plot method for profile data objects can produce call graphs, tree maps, flame graphs, and time graphs; the type argument choses the particular visualization to produce. These graphs can also be produced by the functions plotProfileCallGraph, calleeTreeMap, and flameGraph.

The function writeCallgrindFile writes a file for use by the codekcachegrind program available on some operating systems.

flatProfile

pd <- readProfileData(system.file("samples", "glmEx.out", package="proftools"))
funSummary(pd)
callSummary(pd)
pathSummary(pd)
hotPaths(pd)
plot(pd)
plot(filterProfileData(pd, focus = "glm", self.pct=1, total.pct=10))