If you truly did not understand anything in "An Introduction to R" section 11, then you are unlikely to understand anything that we would write in a post without getting some more background understanding (that is why I suggested that you take a class or hire a consultant).
There are many people on this list that give quite a bit of help every day, but the word 'help' in R-help means to give hints, or assist with when you do your part, or discuss and give insight. It does not mean that we will do your work for you. You are making it difficult for us to help you. I for one am horrible at mind reading (just ask my wife). Given the information in your original question, the answer may be: > fit <- lm(Duration ~ age, data=disease) > summary(fit) But the above could also be completely useless, or give an error, or based on if some assumptions don't hold, the above could be worse than useless by giving results that are completely wrong but look good and lead you in the wrong direction. If you try the above code and come back with only a statement about it not working or not understanding the output without any detail, then my sole response will be "I told you so!". But if you can give us some detail on the background of your question, what question you are trying to answer, what you data looks like, and what your education/understanding is, then we may be able to help. -- 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 1Rnwb > Sent: Monday, July 20, 2009 3:31 PM > To: r-help@r-project.org > Subject: Re: [R] Re gression using age and Duration of disease as a > continous factors > > > I have read that multiple times without understanding anything. > > Greg Snow-2 wrote: > > > > If you need an explanation of what regression means, then you need to > take > > a course or 2 at your local university, or at least hire a > statistical > > consultant. > > > > If you understand regression and just need the explanation of how to > do it > > using R, then read section 11 (as well as everything else) of "An > > Introduction to R". > > > > -- > > 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 1Rnwb > >> Sent: Monday, July 20, 2009 11:30 AM > >> To: r-help@r-project.org > >> Subject: [R] Re gression using age and Duration of disease as a > >> continous factors > >> > >> > >> Please explain me as what it means and how this analysis can be done > >> using R > >> and which library(ies) are needed. > >> Thanks > >> > >> -- > >> View this message in context: http://www.nabble.com/Regression- > using- > >> age-and-Duration-of-disease-as-a-continous-factors- > >> tp24574133p24574133.html > >> Sent from the R help mailing list archive at Nabble.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. > > > > ______________________________________________ > > 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. > > > > > > -- > View this message in context: http://www.nabble.com/Regression-using- > age-and-Duration-of-disease-as-a-continous-factors- > tp24574133p24577937.html > Sent from the R help mailing list archive at Nabble.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. ______________________________________________ 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.
