Re: [R] data structure with coefficients, and call from lm()

John, Jim has shown how to accomplish what you want. Here's a slight variation (for a single model): y - rnorm(20) x - runif(20) z - runif(20) fm - lm(y ~ x + z) m - cbind(NA, coef(summary(fm))) colnames(m)[1] - deparse(formula(fm)) print(m, na.print = ) - Peter Ehlers jim holtman wrote:

Re: [R] data structure with coefficients, and call from lm()

try using a 'list': whatIwant-list(call=summary(myreg)$call, coef=summary(myreg)$coefficients) On 9/30/07, John Sorkin [EMAIL PROTECTED] wrote: Widows XP R 2.3.1 I have been trying to make a data structure that will contain both the coefficients from a linear regression along with column

Re: [R] data structure with coefficients, and call from lm()

Jim, Again thank you for your quick reply. Your suggestion does not give me exactly what I want: whatIwant-list(,summary(fitdelete)$call,summary(fitdelete)$coefficients) whatIwant [[1]] lm(formula = y ~ x) [[2]] Estimate Std. Error t value Pr(|t|) (Intercept) 4.927791

Re: [R] data structure with coefficients, and call from lm()

Thank you Moshe, I understand you point, but I would hope that I could use summary to save my self some work. I need to do what I described in my original Email to the list server on tens of regressions. John John John Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics University of

Re: [R] data structure with coefficients, and call from lm()

Jim, You are indeed trying to help, again my thanks. What I want to do is make a single structure - a table is an apt description that will summarize all the regressions, something like: Estimate Std. Error t value Pr(|t|) (Intercept) lm(formula = y ~ x)