Well add1 (and others) does fit the regressions you asked about if you give it the base model only including the intercept and the scope including the x variables of interest. Unfortunately it only returns certain statistics on those models, not the whole object, but if you were interested in the test of significance, then the F that you could ask to be returned would give that to you (you could also modify the function to return any additional information that you want/need). You did not specify what information from the fits you wanted, so add1 was a possibility if it matched with what you wanted.
I have made a note to my future self asking future me to use the timetravel package to send a copy of the ESP package back in time to past me to help with answering posts. However, present me has not received it yet. Possibly near future me does something that results in far future me not wanting to cooperate, I guess I should stick to my diet a little better. It looks like you found the lapply solution, another option would be to stack the data and use the lmList function from the nlme package, or the by function, or ..., but if lapply works for you, it is probably not worth the effort to try the others. -- 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: Wednesday, February 25, 2009 1:56 AM > To: Greg Snow; r-h...@stat.math.ethz.ch > Subject: [R] RE : multiple regressions on columns > > 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 > > > > ______________________________________________ > > 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. ______________________________________________ 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.
