On Sun, Nov 29, 2009 at 8:49 AM, Matthieu Stigler
<matthieu.stigler at gmail.com <mailto:matthieu.stigler at gmail.com>> wrote:
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