[R] data frame as X in linear model lm() ?
Prof Brian Ripley
ripley at stats.ox.ac.uk
Mon Mar 27 09:25:07 CEST 2006
I guess you are looking for
print(summary(lm(y ~ ., data=x.d)))
since '.' refers to all the columns of 'data' except perhaps the response.
On Sat, 25 Mar 2006, ivo welch wrote:
> Dear R wizards: This must have an obvious solution, but I am stumped.
> I can run a linear regression giving a matrix as the independent set
> of variables, but if I give a data frame (which I would like to give,
> because it should tell the linear model the names of the variables), R
> does not like it. An example is:
>
> N=20; y= rnorm(N);
> x.m <- (matrix( nrow=N, ncol=2 ));
> x.m[,1]=rnorm(N); x.m[,2]=rnorm(N);
>
> print(summary(lm(y ~ x.m))); # works
>
> x.d <- as.data.frame(x.m);
> names(x.d) <- c("one.rv", "two.rv"); # I would like the summary to
> know my variable names!
>
> print(summary(lm(y ~ x.d))); # fails
>
> [please indulge my semi-colons.] how should this be done? help, as
> always, appreciated.
>
> sincerely,
>
> /ivo welch
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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