[R] advanced tabulation

[Christian Schulz]

many thanks for all your comments !

>>summary(columnvariable ~ rowvar1+rowvar2+...., method='reverse') will do
what you want, if you are interested in separate summaries for each row
variable.  >>This uses the summary.formula function in the Hmisc library
(http://hesweb1.med.virginia.edu/biostat/s/Hmisc.html) for which there are
plot, print, and latex >>methods for formatting the output.  For 2-way
cross-classified summaries see method='cross'.

...this is really a good starting point !
An improvement should be the possibility use in a function more than 1
column variable !?

I check/AttemptToUnderstand next days the functions from Hmisc and Kickstart
more deeply and
perhaps the modification's are not so difficult !?

P.S.
summary (Hmisc) is a generic function !?
Is it pure R code ?

regards, christian


----- Original Message -----
From: "Frank E Harrell Jr" <fharrell at virginia.edu>
To: "Christian Schulz" <ozric at web.de>
Cc: <r-help at stat.math.ethz.ch>
Sent: Monday, December 02, 2002 1:00 PM
Subject: Re: [R] advanced tabulation


> On Mon, 2 Dec 2002 08:51:09 +0100
> Christian Schulz <ozric at web.de> wrote:
>
> > i make me thoughts about a  "advanced tabulation"  package similar to
> > commercial software products like Quantum or Wincross.
> >
> > Before i'm beginning to fight with coding - is in the mailing-List
anybody
> > doing something similar in the past and have a good starting point
> > and/or suggestions for me ?
> >
> > My purpose ist to define for a dataset  headers (i.e. sex,age-groupes..)
> > which should write in the colums of a landscape table and percentage all
> > other
> > variables ( rows) dependence to the header category !?
> >
> > P.S. The first attempts sure more easy than
> > the possibilities in wincross  .......
> >
> > http://www.skim.nl/software/images/WC-banners.gif
> > http://www.skim.nl/software/images/WC-tables.gif
> >
> > many thanks for advance & regards,
> > Christian
> >
>
> summary(columnvariable ~ rowvar1+rowvar2+...., method='reverse') will do
what you want, if you are interested in separate summaries for each row
variable.  This uses the summary.formula function in the Hmisc library
(http://hesweb1.med.virginia.edu/biostat/s/Hmisc.html) for which there are
plot, print, and latex methods for formatting the output.  For 2-way
cross-classified summaries see method='cross'.
> --
> Frank E Harrell Jr              Prof. of Biostatistics & Statistics
> Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences
> U. Virginia School of Medicine  http://hesweb1.med.virginia.edu/biostat
>
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