[R] basic question re lm()

I am using R in a Windows environment. I have a basic question regarding lm(). I have a dataframe “data1” with ncol=w. I know that my dependent variable is in column1. Is there a way to write the regression formula so that I can use columns 2 thru w as my independent variables? e.g.

Re: [R] basic question re lm()

Try: lm(Sepal.Length ~., iris) On 8/10/06, r user [EMAIL PROTECTED] wrote: I am using R in a Windows environment. I have a basic question regarding lm(). I have a dataframe data1 with ncol=w. I know that my dependent variable is in column1. Is there a way to write the regression formula

Re: [R] basic question re lm() [Broadcast]

lm(data1) should work just fine. E.g., R data1 - data.frame(v1=rnorm(10), v2=rnorm(10), v3=rnorm(10)) R lm(data1) Call: lm(formula = data1) Coefficients: (Intercept) v2 v3 0.5746 0.3363 -0.5549 Andy From: r user I am using R in a Windows

Re: [R] basic question re lm()

You could look at using lm.fit instead of lm. Alternatively, you can paste the names of the variables together using the following approach. It's a bit baroque, but it works: form.fn - function (dframe) { nms - names(dframe) formula(paste(nms[1], ~, paste(nms[2:length(nms)], collapse=+))) }