Re: [R] All combinations possible in a mutliple regression

Leaps works :) Thanks a lot! JMF - Jean-Michel Fortin Étudiant au premier cycle en Biologie/ Undergraduate in Biology Lab Currie Université d'Ottawa/ Currie Lab University of Ottawa -- View this message in context: http://r.789695.n4.nabble.com/All-combinations-possible-in-a-mutliple-reg

Re: [R] All combinations possible in a mutliple regression

Look at the leaps function in the leaps package. It will compute the Cp statistic which is a function of AIC. On Thu, Aug 9, 2012 at 7:28 AM, zel7223 wrote: > Hi, > > I want to use four independent variables to predict the output of one > dependent variable using a linear model lm. I want to com

Re: [R] All combinations possible in a mutliple regression

HI, I forgot about the AIC.  resAIC<-list() for(i in 1:length(res1)){  resAIC[[i]]<-list()  resAIC[[i]]<-AIC(res1[[i]])  }  unlist(resAIC) # [1] 71.25981 65.22991 71.32024 71.29489 67.20616 73.15101 73.13823 66.17742  #[9] 66.96219 73.27309 67.78183 68.85621 75.03196 68.00660 69.39852 A.K.

Re: [R] All combinations possible in a mutliple regression

HI, I hope this helps you, set.seed(1)  dat1<-data.frame(X1=rnorm(25,15),X2=rnorm(25,5),X3=runif(25,0.4),X4=rnorm(25,12),Y=rnorm(25,35))  ColNam<-names(dat1)  ColNam #[1] "X1" "X2" "X3" "X4" "Y"  ColNam<-ColNam[!ColNam %in% "Y"]  n<-length(ColNam)  ColNam #[1] "X1" "X2" "X3" "X4"  id1<-unlist(

Re: [R] All combinations possible in a mutliple regression

Try a look at this: http://stat.ethz.ch/R-manual/R-patched/library/MASS/html/stepAIC.html Regards, Phil -- View this message in context: http://r.789695.n4.nabble.com/All-combinations-possible-in-a-mutliple-regression-tp4639762p4639782.html Sent from the R help mailing list archive at Nabble.