[R] "contingency table" for several variables
David: >I ‘m trying to draw ONE table that summarize SEVERAL categorical >variables >according to one classification variable, say “sex”. The result would >look >like several contingency tables appended one to the other. All the >variables >belong to a data frame. >The summary.formula in Hmisc package does something pretty close and is >ready for a Latex export but I need either to get rid off the >percentage >(or put the count prior to the percentage )in the “reverse” option or >to add >a chisquare test in the “response” method. You could have a look at structable() in package vcd. Best David __ R-help@stat.math.ethz.ch 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.
Re: [R] "contingency table" for several variables
David LEVY wrote: > DearList, > > > > I ‘m trying to draw ONE table that summarize SEVERAL categorical variables > according to one classification variable, say “sex”. The result would look > like several contingency tables appended one to the other. All the variables > belong to a data frame. > > The summary.formula in Hmisc package does something pretty close and is > ready for a Latex export but I need either to get rid off the percentage > (or put the count prior to the percentage )in the “reverse” option or to add > a chisquare test in the “response” method. Not a good idea. The % is normalized for sample size differences so should be emphasized. Frank > > > > The result would look like the one of > >> summary(sex~treatment+Symptoms, fun = table, method = “response”) > > in the help of summary.formula but with chisquare tests attached. > > Or : > >> summary(sex~treatment+Symptoms, fun = table, method = “reverse”, test= T) > > gives all the information, but I can’t use it for its form is not > appropriate. > > > > Is there any package where I could find a solution ? Any way to create a > function that would add a test in the “response” method ? > > Otherwise, ftable should help but I don’t know how to use it with a > data.frame. > > > > Thanks for your help. > > Regards, > > David > > [[alternative HTML version deleted]] > > > > > > __ > R-help@stat.math.ethz.ch 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. -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University __ R-help@stat.math.ethz.ch 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.
[R] "contingency table" for several variables
DearList, I m trying to draw ONE table that summarize SEVERAL categorical variables according to one classification variable, say sex. The result would look like several contingency tables appended one to the other. All the variables belong to a data frame. The summary.formula in Hmisc package does something pretty close and is ready for a Latex export but I need either to get rid off the percentage (or put the count prior to the percentage )in the reverse option or to add a chisquare test in the response method. The result would look like the one of > summary(sex~treatment+Symptoms, fun = table, method = response) in the help of summary.formula but with chisquare tests attached. Or : > summary(sex~treatment+Symptoms, fun = table, method = reverse, test= T) gives all the information, but I cant use it for its form is not appropriate. Is there any package where I could find a solution ? Any way to create a function that would add a test in the response method ? Otherwise, ftable should help but I dont know how to use it with a data.frame. Thanks for your help. Regards, David [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch 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.
