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Recommended packages for a statistician

4 messages · Eamonn O'Brien, David Scott, Luc Villandre +1 more

#
On Wed, 1 Apr 2009, Eamonn O'Brien wrote:

            
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
4 days later
#
Hi,

Pretty hard to say. It really depends on what you want to.

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

I guess you could also ask for those.
David Scott wrote:
#
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
    >> 
    >> ______________________________________________
    >> 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.

    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.