advanced tabulation
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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