On May 1, 2012, at 22:01 , meredith wrote: > I have two models, controlled by dummy variables to see if the models can be > combined into one model with similar intercepts and slopes. Has anyone tried > to conduct this type of test in R. I am utilizing the econometric idea of > hypothesis testing through the hypothesis of coincidence. I have tried to > run an anova with test of Chisq, but I am not sure what the results are > telling. In addition, I used the rms package with a lrm model in an anova > test, again I am not sure what the results are telling me: > .... > Can anyone help me with this?
Not unless you say what you are trying to do... As far as I can tell, you are (A) using a chi-square test for a standard linear model (Gaussian response) and (B) fitting a logistic regression model to the same response, which assumes that it is a proportion or binary response. Neither makes any sense to me. -- Peter Dalgaard, Professor Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@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.
