Ozlem,
Just read ?formula, where it says:
There are two special interpretations of ‘.’ in a formula. The
usual one is in the context of a ‘data’ argument of model fitting
functions and means ‘all columns not otherwise in the formula’:
see ‘terms.formula’. In the context of ‘update.formula’, *only*,
it means ‘what was previously in this part of the formula’.
So,
lm(y ~ . , data = data)
But what do you hope to conclude from an analysis with thousands
of dependent variables?
Ozlem Yanmaz wrote:
Dear fellow R users,
I am trying to conduct a regression analysis. I have thousands of
variables. The names are V1, V2,........V2000
Is there an easy way to include these variables in the regression?
my model is something like that:
model<- lm(y~V1+V2+.....+V2000, data=data)
Thanks so much in advance,
Ozlem
______________________________________________
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.
______________________________________________
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.
