From: Kevin J Emerson <kemerson_at_uoregon.edu>

Date: Mon, 14 Jul 2008 15:24:02 -0700

Kevin J. Emerson

Bradshaw - Holzapfel Lab

1210 University of Oregon

Eugene, OR, 97403

email: kemerson_at_uoregon.edu

web: http://evodevo.uoregon.edu/people/emerson.html

R-help_at_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. Received on Tue 15 Jul 2008 - 00:49:50 GMT

Date: Mon, 14 Jul 2008 15:24:02 -0700

I have a question about modeling in the case where the response variable is binary.

Sample Plot: http://www.uoregon.edu/~kemerson/tmp/plot.pdf Sample Data: http://www.uoregon.edu/~kemerson/tmp/data.csv

Response variable is percent.dev (se2.dev are the errors from binomial estimates given probability and number of samples).

Descriptor variables are num.days, ppd, temp, and pop.

Any help would be greatly appreciated.

Cheers,

Kevin Emerson

Kevin J. Emerson

Bradshaw - Holzapfel Lab

1210 University of Oregon

Eugene, OR, 97403

email: kemerson_at_uoregon.edu

web: http://evodevo.uoregon.edu/people/emerson.html

R-help_at_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. Received on Tue 15 Jul 2008 - 00:49:50 GMT

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