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