I found and loaded the "survey" package. ?rake and ?postStratify seem promising. Are there other packages/procedures I've missed? Are there online references that an R newbie could use to feel comfortable applying these procedures to a survey? How about a reference discussing the details of designing a "post survey survey" to generate additional weights?
Thanks in advance, Robert Farley Metro www.Metro.net ________________________________ From: Farley, Robert Sent: Thursday, June 26, 2008 15:48 To: 'r-help@r-project.org' Subject: Survey questions First the R question. I have the results of a rather large survey (thousands of forms, each with dozens of questions) with some existing weights and expansion factors. I wish to add additional weighting factors, based on new information that elements of certain variables should appear in certain proportions. Where should I look in R to develop what is essentially an N-dimensional balancing process. I'd like to develop new weighting factors, without disturbing the existing weightings/expansion. Now the statistics question. Is this appropriate? Where can I find a nearly entry level discussion of the statistical ramifications of this? Is it possible (proper) to re-survey a population to obtain new weights (for previously un-weighted responses) for an original survey? Thanks in advance, Robert Farley Metro 1 Gateway Plaza Mail Stop 99-23-7 Los Angeles, CA 90012-2952 Voice: (213)922-2532 Fax: (213)922-2868 www.Metro.net [[alternative HTML version deleted]] ______________________________________________ R-help@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.