Hi
My goal is to do a (multiple) regression, just knowing that my Y
variables will be the say k first variables of a matrix/data frame. I
thought I should do it with eval(parse)) but encounter a strange problem.
See:
lm(y~.-y, data=freeny) #that's what I want to do in the one equation case
#Problem is I don't know name of the variable... only that it is the
first one...
#so idea is to just take first name
a<-colnames(freeny)
#and then use eval(parse(text=a[1]))
#it works if I replace y on either the left or right side:
lm(eval(parse(text=a[1]))~.-y, data=freeny) #does the same
lm(y~.-eval(parse(text=a[1])), data=freeny)
#but not if I do this call twice:
lm(eval(parse(text=a[1]))~.-eval(parse(text=a[1])), data=freeny)
#variable I wanted to remove (y) ist still there
Do you understand why I can call eval(parse) only once? Should I try a
update workaround? Or have idea of any other solution? Maybe there is
something much simpler I'm missing:-(
Thanks a lot!!!
Matthieu Stigler
______________________________________________
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.
