[R] How to analyze observations list-wise deleted?

From: Chengshan Liu <chengshanliu_at_gmail.com>
Date: Sat, 15 Dec 2007 23:14:50 +0800


I am using lrm in Design package for a project using logit analysis. I think lrm is very useful for providing information about the number of missing values due to the inclusion of each variable.

My first questions is: How to explore those observations that are automatically deleted from the lrm?
For example, in a data I have more than 6,000 observations but after list-wise deletion I have only 2,411 observations, where there are 583 observations for the dependent variable of value 1 and 1,828 for the value 0.

One independent variable of the model "cDisagLW" accounts for the deletion of 2,598 observations and I think this could cause problem in regression result. So, could you show me a way to find out "who" are those 2,598 observations?

A further question is, how to make a subset of the original data that contains these 2,411 valid observations? With this dataset, I like to explore the underlying distribution of the regression data and contrast to the original data of 6,000 observations.

Thank you in advance.

Frank

-- 
Frank C.S. Liu
Assistant Professor,                      
Graduate Institute of Political Science   E-mail: frankcsliu_at_gmail.com
National Sun Yat-sen University (NYSYU)   Office:+886.7.525.2000 #5555
Kaohsiung, Taiwan 804, R.O.C.             FAX:+886.7.525.5540

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Received on Sat 15 Dec 2007 - 15:22:44 GMT

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