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@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
>
> David Winsemius wrote:
>
>> When the question arises "How many R-users there are?", the consensus
>> seems to be that there is no valid method to address the question. The
>> thread "R-business case" from 2004 can be found here:
>> https://stat.ethz.ch/pipermail/r-help/2004-March/047606.html
>>
>> I did not see any material revision to that conclusion during the recent
>> discussion of the New York Times article on the r-challenge to SAS.
>>
>> Gmane tracks the number of r-help activity (I realize not what you asked
>> for):
>> http://www.gmane.org/info.php?group=gmane.comp.lang.r.general
>>
>> The distribution of r-packages is, well ... distributed:
>> http://cran.r-project.org/mirrors.html
>>
>> 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. I have
>> not heard of any such system being installed in the mirror software and I
>> see nothing that suggests data gathering in the CRAN Mirror How-to:
>> http://cran.r-project.org/mirror-howto.html
>>
>> On the other hand I am not part of R-core, so you must await more
>> authoritative opinion since a 5 year-old thread and amateur speculation is
>> not much of a leg to stand on.
>>
>> There are lexicographic packages for R. One approach to a de novo analysis
>> would be to do some sort of natural language analysis of the r-help archives
>> counting up either package names with non-English names or close proximity
>> of the words "library" or "package" to package names that overlap the 30,000
>> common English words. That would have the danger of inflating counts of the
>> packages with the least adequate documentation or a paucity of good worked
>> examples, but there are many readers of this list who suspect that new users
>> don't look at the documentation, so who knows?
>>
>>
>
> --
> Thomas E Adams
> National Weather Service
> Ohio River Forecast Center
> 1901 South State Route 134
> Wilmington, OH 45177
>
> EMAIL:  thomas.adams@noaa.gov
>
> VOICE:  937-383-0528
> FAX:    937-383-0033
>
>
> ______________________________________________
> R-help@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.
>



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