Hello, something that has been on my mind for a decade or two has been the examples for lm() and glm(). They encourage poor style because of mismanagement of data frames. Also, having the variables in a data frame means that predict() is more likely to work properly.
For lm(), the variables should be put into a data frame. As 2 vectors are assigned first in the general workspace they should be deleted afterwards. For the glm(), the data frame d.AD is constructed but not used. Also, its 3 components were assigned first in the general workspace, so they float around dangerously afterwards like in the lm() example. Rather than attached improved .Rd files here, they are put at www.stat.auckland.ac.nz/~yee/Rdfiles You are welcome to use them! Best, Thomas ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
