I have continuous variables x, y, z. The plot of the data looks like this: y | z=1(o), 2(@), 3(#), 4(*) | |* * * | | |# # # # | | |@ @ @ @ | | o | o | o | o |o ------------------------ x The correct model appears to be: if z==1, y~x+z; else y~z (y~z + z:x isn't it)
How can I express this model in lm()? If I can't express it properly in lm(), what is the best way to fit the model? Thanks for any help. Bill Simpson ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
