Re: [R] Survey questions

From: Tobias Verbeke <tobias.verbeke_at_gmail.com>
Date: Tue, 08 Jul 2008 09:06:20 +0200

Farley, Robert wrote:

> 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?

There is quite some material on the package homepage at

http://faculty.washington.edu/tlumley/survey/

including a page on post-stratification and calibration

http://faculty.washington.edu/tlumley/survey/example-poststrat.html

Maybe the exemplars of the PEAS project are helpful as well:

http://www2.napier.ac.uk/depts/fhls/peas/about.asp

HTH,
Tobias

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> Thanks in advance,
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> Robert Farley
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> Metro
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> ________________________________
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> From: Farley, Robert
> Sent: Thursday, June 26, 2008 15:48
> To: 'r-help_at_r-project.org'
> Subject: Survey questions
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> 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.
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> 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?
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> Thanks in advance,
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> Robert Farley
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> Metro
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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. Received on Tue 08 Jul 2008 - 07:16:41 GMT

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