Hi everyone, I would like some package of R or any help to solve the next problem with a weighting fatcors: Giving a data matrix with dichotomous (2 or more) variables in columns and individuals in rows, and also a theorical distribution of the dichotomous variables I would like a row weight (one per individual) that transform the real distribution of variables to the theorical distribution. Thanks in advance and best regards, -- Ferran Carrascosa
Weighting factor
3 messages · Ferran Carrascosa, Thomas Lumley
On Tue, 27 Sep 2005, Ferran Carrascosa wrote:
Hi everyone, I would like some package of R or any help to solve the next problem with a weighting fatcors: Giving a data matrix with dichotomous (2 or more) variables in columns and individuals in rows, and also a theorical distribution of the dichotomous variables I would like a row weight (one per individual) that transform the real distribution of variables to the theorical distribution.
You should be able to do this with postStratify() in the survey package (if you have joint distributions for the variables) or calibrate() if you have only marginal distributions. You would need to create a survey design object, use postStratify() or calibrate() on it, then use weights() to extract the weights. -thomas
Uau! This package is very interesting, very thank you Thomas. Thanks to all! 2005/9/27, Thomas Lumley <tlumley at u.washington.edu>:
On Tue, 27 Sep 2005, Ferran Carrascosa wrote:
Hi everyone, I would like some package of R or any help to solve the next problem with a weighting fatcors: Giving a data matrix with dichotomous (2 or more) variables in columns and individuals in rows, and also a theorical distribution of the dichotomous variables I would like a row weight (one per individual) that transform the real distribution of variables to the theorical distribution.
You should be able to do this with postStratify() in the survey package
(if you have joint distributions for the variables) or calibrate() if you
have only marginal distributions.
You would need to create a survey design object, use postStratify() or
calibrate() on it, then use weights() to extract the weights.
-thomas
-- Ferran Carrascosa