I just quickly draft one with boston housing data. and it should be
close to what you need.
# REMOVE ALL OBJECTS
rm(list = ls());
# DATA PREPARATION
library(MASS);
data(Boston);
X<-I(as.matrix(Boston[-14]));
Y<-I(as.matrix(Boston[14]));
for(i in 1:13)
{
X2 <- X[, i]
data <- data.frame(Y, X2)
lm<-glm(Y~X, data = data)
name<-paste("glm", i, sep = "");
assign(name, lm);
};
# LIST ALL OBJECTS WITH "glm" IN THE NAMES
ls(pat = "glm");
On Sun, Sep 20, 2009 at 2:05 PM, Georg Ehret <georgeh...@gmail.com> wrote:
> Dear R community,
> I have a dataframe with say 100 different variables. I wish to regress
> variable 1 separately on every other variable (2-100) in a linear regression
> using lm. There must be an easy way to do this without loops, but I have
> difficulties figuring this out... Can you please help?
> Thank you and best regards, Georg.
> *****************************************
> Georg Ehret
> Johns Hopkins University
> Institute of Genetic Medicine
>
> [[alternative HTML version deleted]]
>
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>
--
==============================
WenSui Liu
Blog : statcompute.spaces.live.com
Tough Times Never Last. But Tough People Do. - Robert Schuller
==============================
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