Displaying 3 results from an estimated 3 matches for "logisticregression".
2010 Sep 06
1
Correct coefficients from treatment contrasts?
...xport-only; margin-right:27.35pt;}@page WordSection1 {size:612.0pt 792.0pt; margin:72.0pt 72.0pt 72.0pt 72.0pt; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;}div.WordSection1 {page:WordSection1;}-->Hello,Iam trying to take the information from the summary of my best fit logisticregression model for the occurrence of a high elevation plant spp. and createthe appropriate equation that will calculate probability of occurrence, given thedata. My predictors include both continuous variables (slope and a second orderpolynomial of elevation) and a discrete variable for aspect (warm and coo...
2009 Mar 24
2
modelling probabilities instead of binary data with logistic regression
Dear all,
I have a dataset where I reduced the dimensionality, and now I have a
response variable with probabilities/proportions between 0 and 1. I wanted
to do a logistic regression on those, but the function glm refuses to do
that with non-integer values in the response. I also tried lrm, but that one
interpretes the probabilities as different levels and gives for every level
a different
2004 Dec 05
4
What is the most useful way to detect nonlinearity in logistic regression?
It is easy to spot response nonlinearity in normal linear models using
plot(something.lm).
However plot(something.glm) produces artifactual peculiarities since the
diagnostic residuals are constrained by the fact that y can only take
values 0 or 1.
What do R users find most useful in checking the linearity assumption of
logistic regression (i.e. log-odds =a+bx)?
Patrick Foley
patfoley at