Hi Spencer, XLSolutions is currently analyzing r-help archived questions to rank packages for the upcoming R-PLUS 3.3 Professional version and we will be happy to share the outcome with interested parties. Please email dan at xlsolutions-corp.com Regards - Sue Turner Senior Account Manager XLSolutions Corporation North American Division 1700 7th Ave Suite 2100 Seattle, WA 98101 Phone: 206-686-1578 Email: sue at xlsolutions-corp.com web: www.xlsolutions-corp.com
--- On Sat, 3/7/09, Spencer Graves <spencer.graves at prodsyse.com> wrote:
From: Spencer Graves <spencer.graves at prodsyse.com>
Subject: Re: [R] popular R packages
To: "Wacek Kusnierczyk" <Waclaw.Marcin.Kusnierczyk at idi.ntnu.no>
Cc: r-help at r-project.org, "Jeroen Ooms" <j.c.l.ooms at uu.nl>, "Thomas Adams" <Thomas.Adams at noaa.gov>
Date: Saturday, March 7, 2009, 5:22 PM
I just did RSiteSearch("library(xxx)") with xxx =
the names of 6 packages familiar to me, with the following
numbers of hits:
hits package
169 lme4
165 nlme
6 fda
4 maps
2 FinTS
2 DierckxSpline
Software could be written to (1) extract the names of
current packages from CRAN then (2) perform queries similar
to this on all such packages and summarize the results. I
don't have the time now to write code for this, but
I've written similar code before for step (1); it can
be found in "scripts/TsayFiles.R" in the
"FinTS" package on CRAN. For step (2), Sundar
Dorai-Raj wrote code that is is included in the preliminary
"RSiteSearch" package available from R-Forge via
install.'packages("RSiteSearch",repos="http://r-forge.r-project.org")'.
Code to do this could probably be written (a) in a
matter of seconds by many of those in the R Core team or (b)
in a matter of hours by virtually any reader of this list
using the examples I just cited. And it could provide
numbers without a need to convince others to keep download
statistics and make them available later.
Hope this helps. Spencer Graves
Wacek Kusnierczyk wrote:
i have kept r installed on more than ten computers
during the past few
years, some of them running win + more than one linux
distro, all of
them having r, most often installed from a separate
download.
i know of many cases where students download r for the
purpose of a
course in statistics -- often an introductory course
for students who
otherwise have little to do with stats. some of them
do it more than
once during the semester, and many of them never use r
again.
taking into account that basic statistics courses are
taught to most
university students and that r is surely the most
popular free
statistical computing environment, download-based
usage estimates may be
a bit optimistic, unless 'usage' is taken to
include 'learn-pass-forget'.
vQ Tal Galili wrote:
I agree with Thomas, over the years I have
installed R on at least 5
computers. BTW: does any one knows how the website statistics
of r-project are
being analyzed? Since I can't see any "google
analytics" or other tracking code in the main
website, I am guessing someone might be running
some log-file analyzer - but
I'd rather hear that then assume. On Sun, Mar 8, 2009 at 12:45 AM, Thomas Adams
<Thomas.Adams at noaa.gov> wrote:
I don't think "At least one of the
participants in the 2004 thread
suggested that it would be a "good
thing" to track the numbers of downloads
by package." is reasonable because I
download R packages for 2 home
computers (laptop & desktop) and 2 at work
(1 Linux & 1 Mac). There must be
many such cases?
Tom
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