[R] Recommended packages for a statistician

[Martin Maechler]

>>>>> "LV" == Luc Villandre <villandl at dms.umontreal.ca>
>>>>>     on Mon, 06 Apr 2009 10:42:34 -0400 writes:

    LV> Hi,
    LV> Pretty hard to say. It really depends on what you want to.

    LV> MASS, nlme, lme4 and Hmisc are packages I use on a daily basis.

Note that MASS is part of the VR bundle, and that and nlme are
already formally 'Recommended' and hence part of every R installation.

The same applies to  'boot'  as David (below) recommends
"a bootstrap package".


    LV> I guess you could also ask for those.

    LV> David Scott wrote:
    >> On Wed, 1 Apr 2009, Eamonn O'Brien wrote:
    >> 
    >>> The company I work for require users to request what packages they 
    >>> want from
    >>> the IT department (user cannot download themselves). I intend to request
    >>> installation of the latest version of R plus the 23 Cran task views. 
    >>> As a
    >>> statistician what are the recommended packages or packages that
    >>> statisticians using R recommend to install. I have started a new 
    >>> position
    >>> and want to (greedily) get everything that I may or may not use as I 
    >>> want to
    >>> avoid multiple requests to our IT dept.
    >>> Thanks
    >>> 
    >> 
    >> 
    >> I haven't seen a response, so I will make a start.
    >> 
    >> It all depends on the area you are in, and the sort of work you do. If 
    >> you are in finance, you will likely require different packages than if 
    >> you are in biostat or whatever. There are no clues in your email, not 
    >> even an informative address or signature.
    >> 
    >> There are a few general packages that you might consider though: Frank 
    >> Harrell's packages; ggplot2 for graphics; a bootstrap package; 
    >> depending on the users maybe a gui package such as Rcmdr ...
    >> There are around 2000 packages now I believe.
    >> 
    >> 
    >> David Scott 
    >> _________________________________________________________________
    >> David Scott    Department of Statistics
    >> The University of Auckland, PB 92019
    >> Auckland 1142,    NEW ZEALAND
    >> Phone: +64 9 373 7599 ext 85055        Fax: +64 9 373 7018
    >> Email:    d.scott at auckland.ac.nz
    >> 
    >> Graduate Officer, Department of Statistics
    >> Director of Consulting, Department of Statistics
    >> 
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    LV> ______________________________________________
    LV> R-help at r-project.org mailing list
    LV> https://stat.ethz.ch/mailman/listinfo/r-help
    LV> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
    LV> and provide commented, minimal, self-contained, reproducible code.