Chris, While there might be certain functions in R that I'm not aware of for such purposes, anything (well, almost) can be done in R if you're willing to write a line or two of code, and that's the beauty of R. In a course I recently taught, I used the following code to generate individual data from grouped data, which would give the same results as using fweight=count in Stata.
Ind.Data<-data.frame(cbind(rep(Y,freq),rep(X1,freq),rep(X2,freq))) where Y is the dependent variables and X1 and X2 are two explanatory variables and freq is your count variable. Hope this helps, Tim F Liao Professor of Sociology & Statistics University of Illinois Urbana, IL 61801 ---- Original message ---- >Date: Wed, 26 Jan 2005 12:54:11 -0600 >From: "Chris Bergstresser" <[EMAIL PROTECTED]> >Subject: [R] Linear Trend Analysis? >To: <R-help@stat.math.ethz.ch> > >Hi all -- > > I'm trying to use R for my "Analysis of Categorical Data" class, but I >can't figure out how to do a weighted linear trend analysis. I have a table >of categorical data, to which I've assigned weights to the rows and columns. >I need to calculate r and M^2, which is apparently done in SAS using "PROC >FREQ" and in STATA using "correlate var1 var2 fw=count". What's the command >for R? > >-- Chris > >______________________________________________ >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 ______________________________________________ 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
