Thank you all. And thanks for pointing out I have an lm object, not a list.
@ Steve, I knew I wasn't crazy when I saw him type "ans$" in the prompt. I didn't see him hit <tab> though. So a special thanks to you for helping me validate my sanity! :-) Tina On Fri, Sep 9, 2011 at 11:08 AM, Steve Lianoglou <mailinglist.honey...@gmail.com> wrote: > Hi Clemontina, > > On Fri, Sep 9, 2011 at 11:01 AM, Clemontina Alexander <ckale...@ncsu.edu> > wrote: >> I have a list 'ans' from the following code: >> >> tt <- rnorm(50) >> rr <- rnorm(50) >> ans <- lm(rr~tt) >> >> ans[1] is "$coefficients", ans[2] is "$residuals", ans[3] is >> "$effects", ... and so on up to ans[12]. Is there an easy way to >> display just these names and not the data they contain? > > In this case, you can simply do: > > R> names(ans) > [1] "coefficients" "residuals" "effects" "rank" > [5] "fitted.values" "assign" "qr" "df.residual" > [9] "xlevels" "call" "terms" "model" > >> saw my advisor type "ans$" and they were displayed, but when I tried >> it, it just goes to the next line waiting for input like this: >> >>> ans$ > > If you are in the R prompt and you hit <tab> twice after `ans$`, it > should show you the names of the elements in the `ans` list. If you > use Rstudio[1], the doube <tab> hit will give you a handy dropdown > menu list you can choose from. > > HTH, > -steve > > [1] For what it's worth, I'm not sure how far along in your R-learning > you are, but if I were starting out learning R today, I might pick > Rstudio as my IDE/interface of choice. > > -- > Steve Lianoglou > Graduate Student: Computational Systems Biology > | Memorial Sloan-Kettering Cancer Center > | Weill Medical College of Cornell University > Contact Info: http://cbio.mskcc.org/~lianos/contact > -- Clemontina Alexander Ph.D Student Department of Statistics NC State University Raleigh, NC 27695 Phone: (850) 322-6878 Email: ckale...@ncsu.com ______________________________________________ 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.
