[R] ordered logistic regression

From: bunny , lautloscrew.com <bunny_at_lautloscrew.com>
Date: Thu, 07 Jun 2007 16:47:15 +0200


Hi there,

i tried to run an ordered logistic regression with polr. so far it worked after i turned my data into factors. but here´s my problem:
my output is like this:

Call:
polr(formula = factor(fulltest[, 1]) ~ factor(fulltest[, 2]) +

     factor(fulltest[, 10]), method = "logistic")

Coefficients:
factor(fulltest[, 2])0 factor(fulltest[, 2])1 factor(fulltest[, 2]) 2 factor(fulltest[, 2])3 factor(fulltest[, 10])0 factor(fulltest[, 10])1 factor(fulltest[, 10])2

               1.0850358               0.8269005                
0.8850035               1.0263442                
1.3724189               1.8258853               2.2263393
factor(fulltest[, 10])3
               2.5234381

Intercepts:
        -1|0         0|1         1|2         2|3
-2.42111430 -2.13077351 0.07966516 2.85951997

Residual Deviance: 1219.493
AIC: 1243.493 as far is i understand, there´s a dummy var introduced for every possible outcome ( 0 , 1, 2 ,3) . this is nice because it contains a lot of information, but far more than i need. and i have to many variables to research to use dummies for every single one of them. Can i get one coefficient per variable ?

Is there another package for logistic regression ? did is use the factor thing the wrong way ?

thx in advance

mattthias



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