Hi David: If your variables are in a dataframe called DF and the
dependent variable is in the first column , you can do below but you
probably are well aware of this anyway.
lmresults<-lapply(names(DF[,-1],function(.name) {
lm(DF[,1] ~ DF[,.name], data=DF)
})
This will run through each of the variables in the dataframe and regress
the first column on each variable individually.
On Wed, Feb 25, 2009 at 3:56 AM, GOUACHE David wrote:
Hello and thanks for your reply, but as you said, this is not really
what I'm trying to do.
My purpose is not one of variable selection within a model with
multiple predictors, but simply fitting a large number of models with
only one predictor.
I was just hoping there would be a solution as simple as the one given
in my example which gives the results of many regression models of the
type Yi~x where i spans all the colums in a matrix and x is one
predictor. My objective being the fitting of many regression models of
the type y~Xi where i spans all the columns in a matrix and y is one
dependent variable.
Best regards,
David Gouache
ARVALIS - Institut du végétal
Station de La Minière
78280 Guyancourt
Tel: 01.30.12.96.22 / Port: 06.86.08.94.32
-----Message d'origine-----
De : Greg Snow [mailto:greg.s...@imail.org] Envoyé : mardi 24 février
2009 18:22
À : GOUACHE David; r-h...@stat.math.ethz.ch
Objet : RE: multiple regressions on columns
The add1 function might be what you want, there is also addterm in the
MASS package and the leaps package can do some things along this line
(plus more).
But before doing this, you may want to ask yourself what question you
are really trying to answer, then explore if this answers that
question or not.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of GOUACHE David
Sent: Tuesday, February 24, 2009 10:13 AM
To: r-h...@stat.math.ethz.ch
Subject: [R] multiple regressions on columns
R-helpers,
A quick question regarding my wanting to run multiple regressions
without writing a loop.
Looking at a previous discussion :
http://tolstoy.newcastle.edu.au/R/e2/help/07/02/9740.html
my objective is to do the "opposite", i.e. instead of having the same
independent variable and testing it against multiple dependent
variables, my goal is to test multiple independent variables against
the same dependent variable.
Using the iris dataset:
iris4 <- as.matrix(iris[,-c(1,5)])
summary(lm(iris4 ~ Sepal.Length, iris))
what I would have liked is to do the following :
summary(lm(Sepal.Length ~ iris4, iris))
and obtain the results from 3 separate regressions, as above, instead
of one multiple regression...
Any clues ?
Tanks in advance
David Gouache
ARVALIS - Institut du végétal
Station de La Minière
78280 Guyancourt
Tel: 01.30.12.96.22 / Port: 06.86.08.94.32
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______________________________________________
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
