Hello,
Currently I am using R for building a logistic model using numerical and
nominal data as predictors. Before doing the regression, the predictors are
grouped. The groups I determine manually by trying to maximize the information
value (which is an indicator for the discriminatory power of the variable)
under the condition that enough data are within each group (approx. 5%).
Is there a method in R available which allows for an automated grouping/binning
for that purpose? I know that e.g. SPSS has such a feature. I think such a
feature is helpful in the modeling process.
Regards,
Pano
Heute schon einen Blick in die Zukunft von E-Mails wagen?
www.yahoo.de/mail
[[alternative HTML version deleted]]
______________________________________________
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.
