popular R packages
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
______________________________________________ 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.