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st: RE: AW: RE: AW: Popularity of R, SAS, SPSS, Stata...
From
"Muenchen, Robert A (Bob)" <[email protected]>
To
<[email protected]>
Subject
st: RE: AW: RE: AW: Popularity of R, SAS, SPSS, Stata...
Date
Sun, 20 Jun 2010 11:50:46 -0400
>Some statistics can be accessed here:
>http://logec.repec.org/scripts/seriesstat.pf?topnum=25;bymin=10;sortby=1
>2d
Nice! The closest R come to that is:
http://www.bioconductor.org/packages/stats/
But that's all focused on bioinformatic software and is probably a tiny proportion to the main R package downloads from CRAN. Unfortunately CRAN is not monitored as Bioconductor is.
Thanks,
Bob
>
>Kit Baum is of course the expert on this subject, so let`s hope he steps
>into this discussion.
>
>
>
>HTH
>Martin
>
>
>-----Ursprüngliche Nachricht-----
>Von: [email protected]
>[mailto:[email protected]] Im Auftrag von Muenchen,
>Robert A (Bob)
>Gesendet: Sonntag, 20. Juni 2010 17:29
>An: [email protected]
>Betreff: st: RE: AW: Popularity of R, SAS, SPSS, Stata...
>
>
>>-----Original Message-----
>>From: [email protected] [mailto:owner-
>>[email protected]] On Behalf Of Martin Weiss
>>Sent: Sunday, June 20, 2010 9:41 AM
>>To: [email protected]
>>Subject: st: AW: Popularity of R, SAS, SPSS, Stata...
>>
>>Figure 4 could be amended with the information about -ssc- packages for
>>Stata. Also, -ssc hot- gives you an indication of how often packages
>are
>>downloaded, instead of a mere count of how many packages are available.
>>
>
>Martin, that's a great idea. I did look at SSC but didn't know of a way
>to
>easily get the number of Stata programs per year. Do you know how to do
>this, or know if this data is compiled somewhere? I'd love to add it. -
>Bob
>
>>
>>
>>HTH
>>Martin
>>
>>
>>-----Ursprüngliche Nachricht-----
>>Von: [email protected]
>>[mailto:[email protected]] Im Auftrag von Muenchen,
>>Robert A (Bob)
>>Gesendet: Sonntag, 20. Juni 2010 15:31
>>An: [email protected]; [email protected]; SPSSX-
>>[email protected];
>>[email protected]
>>Betreff: st: Popularity of R, SAS, SPSS, Stata...
>>
>>Hi All,
>>
>>I've been fiddling around with various ways to estimate the popularity
>>of R, SAS, SPSS, Stata, JMP, Minitab, Statistica, Systat, BMDP, S-PLUS,
>>R-PLUS and Revolution R. It's not an easy task. You can see what I've
>>come up with so far at http://r4stats.com/popularity . I'm sure people
>>will have plenty of ideas on how to improve this, so please let me know
>>what you think.
>>
>>Cheers,
>>Bob
>>
>>=========================================================
>> Bob Muenchen (pronounced Min'-chen), Manager
>> Research Computing Support
>> Voice: (865) 974-5230
>> Email: [email protected]
>> Web: http://oit.utk.edu/research,
>> News: http://oit.utk.edu/research/news.php
>> Feedback: http://oit.utk.edu/feedback/
>>=========================================================
>>
>>
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