[R] Profiler for R ? (HFWUtils package)

Hadley Wickham hadley at rice.edu
Tue Jul 6 18:30:46 CEST 2010


And the profr package for an alternative display.
Hadley

On Tuesday, July 6, 2010, Uwe Ligges <ligges at statistik.tu-dortmund.de> wrote:
> or just see
>
> ?Rprof
>
> and
>
> ?Rprofmem
>
>
> Uwe Ligges
>
>
> On 06.07.2010 01:21, Jim Callahan wrote:
>
> Message: 21
> Date: Mon, 5 Jul 2010 02:26:29 -0400
> From: Ralf B<ralf.bierig at gmail.com>
> To: "r-help at r-project.org"<r-help at r-project.org>
> Subject: [R] Profiler for R ?
>
> Hi,
>
> is there such a thing as a profiler for R that informs about a) how
> much processing time is used by particular functions and commands and
> b) how much memory is used for creating how many objects (or types of
> data structures)?
>
>
> Haven't tried it; but stumbled across "Profiling()" function in the
> HFWUtils package.
> Starting at bottom of page 29-30 of HFWUtils package user manual:
>
> profiling
> plots tree of execution times
>
> Description
> determines how much time a function its and sub-functions (and
> sub-functions thereof etc) take to run (‘profiling’). Also draws
> picture of this using the interrelations of functions.
>
>
> HTH,
> Jim Callahan
> Orlando, FL
>
>
> In a way I am looking for something similar to the
>
> java profiler (which is started by command line and provides profiling
> information collected from the run of a particular program). Is there
> such a tool through the R command line or RGUI ? Are there profilers
> available for the Eclipse StatET or though another package or
> extension?
>
> Thanks,
> Ralf
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

-- 
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/



More information about the R-help mailing list