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]]
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 <georgehret at 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]]
>
> ______________________________________________
> R-help at 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.
>
--
=============================WenSui Liu
Blog : statcompute.spaces.live.com
Tough Times Never Last. But Tough People Do. - Robert Schuller
==============================
apologize, there is a typo in the glm() :-) On Sun, Sep 20, 2009 at 2:05 PM, Georg Ehret <georgehret at 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]] > > ______________________________________________ > R-help at 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. >-- =============================WenSui Liu Blog : statcompute.spaces.live.com Tough Times Never Last. But Tough People Do. - Robert Schuller ==============================
On Sun, Sep 20, 2009 at 2:38 PM, Wensui Liu <liuwensui at gmail.com> wrote:> I just quickly draft one with boston housing data. and it should be > close to what you need. > > # REMOVE ALL OBJECTS > rm...WARNING!!! Running the code in this post could wipe out your entire workspace!!!! Please do NOT post such code.
Georg for example:>data(swiss) >data=swiss >lapply(2:length(data),function(x) lm(data[,1]~data[,x]))HTH Schalk Heunis On Sun, Sep 20, 2009 at 2:05 PM, Georg Ehret <georgehret at 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]] > > ______________________________________________ > R-help at 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. >