[R] visualizing/summarizing a large, sparse logistic regression

From: Michael Friendly <friendly_at_yorku.ca>
Date: Fri 05 Aug 2005 - 02:52:49 EST

I have data on ~340000 cases where it is desired to predict binary outcome, Withdrawn, using up to 8, A:H, predictors in a 3 x 2^7 design, but where the frequencies in these 168 cells vary enormously (1--108000). As well, there are two additional variables, Agency and Office, and it is desired, among other things, to determine if the rates vary with Agency and Office controlling for A - H.

I fit an initial model

   Withdrawn ~ A + B + C + D + E + F + G + H

giving all main effects significant, and am trying to find a compact way to summarize and visualize the fitted rates under this model, or a more complex model involving Agency and Office plus potential interactions among A-H.

Can someone point me in some useful directions or to some similar examples?



Michael Friendly Email: friendly@yorku.ca Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814 4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html Toronto, ONT M3J 1P3 CANADA

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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 Received on Fri Aug 05 02:57:10 2005

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