http://www.amazon.com/gp/product/007310874X/ref=pd_lpo_k2_dp_sr_1?pf_rd_p=304485901&pf_rd_s=lpo-top-stripe-1&pf_rd_t=201&pf_rd_i=0256117365&pf_rd_m=ATVPDKIKX0DER&pf_rd_r=155Y7AP1SHTSJESHM15M
This is our textbook for regression analysis. Go through the first 8 or 9 chapters and you're good. Mehdi Khan On Tue, Jul 21, 2009 at 9:29 AM, 1Rnwb <sbpuro...@gmail.com> wrote: > > Thanks Steve,Thanks for the explanation, I agree the question is too > vague, > I do not what a regression is I have switched to R a couple of months ago, > after working in Excel for a long time. I also know the lm, glm functions > in R. but due to my data I am completely lost. it looks like the experts > individuals just come to poke fun at our expesense who has no background of > statistics. > > I have a 8 proteins and I have two groups with 840 samples in control and > 1140 samples in diseases further stratified by sex, draw age, duration of > disease. all these groups and sub groups is making the thing very confusing > as how to do the regression in R. the pupose is to show the changes in the > levels of these proteins as the disease progress or changes in their levels > with respect to progression in age, effect of gender, SNPs for these > proteins, it is a pretty big dataset. > > The suggestion that consult the statistician is kind of funny as the > statistician in my center is my co-mentor and from past 5 years he is > sitting on the data without any output. > > I am not here to ask someone to do my data analysis, but to get an > understanding of the process as well as a proper direction to look for the > analysis. after all I do have to explain all these things to my boss as > well. > > Thanks > > > > Steve Lianoglou-6 wrote: > > > > > > On Jul 20, 2009, at 5:30 PM, 1Rnwb wrote: > > > >> I have read that multiple times without understanding anything. > > > > If that's the case, then perhaps you should follow Greg's first piece > > of advice: > > > >> 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. > > > > We're not trying to be rude, but your question is quite ill formed, > > and no one can really help you: > > > >> Please explain me as what it means and how this analysis can be done > >> using R and which library(ies) are needed. > > > > It's not clear what you do/don't understand, and your problem > > statement is too vague for anyone to tell you more. > > > > It seems like you're saying you don't understand what "regression" is, > > in which case a simple email will not help you. > > > > "Simply put" regression is a method to predict a (typically) > > "continuous" output by some combination of inputs, eg. predicting > > someone's height by knowing their weight and shoe size (these are > > continuous variables, too). It looks like in your case, your "inputs" > > are the "continuous factors" of your email subject, which are age and > > duration of disease? > > > > You haven't even mentioned what it is you are trying to predict. > > Survival? > > > > The thing is, as soon as one puts something in "simple terms," it's > > often wrong -- which is why Greg suggested taking a class or hiring > > someone to help you. > > > > Anyway, I'm assuming you must know what regression is, otherwise you > > wouldn't be looking to know how to do it. One way to perform linear > > regression in R is using the "lm" function. Type ?lm at the R prompt > > for help. > > > > > >> I thought this forum is for help. now i know what the statistician > >> in my dept > >> does all day long > > > > It is for help -- you'll see it's quite active around here. > > > > It's *not* for soliciting other people to do your analysis for you, > > which is how your email comes across. All of us have our own work to > > do, but are here to help if you're stuck on something *in > > particular* ... perhaps you can do a bit more legwork and rephrase > > your question in a more meaningful way. > > > > -steve > > > > -- > > Steve Lianoglou > > Graduate Student: Physiology, Biophysics and Systems Biology > > Weill Medical College of Cornell University > > > > Contact Info: > > http://cbio.mskcc.org/~lianos/contact<http://cbio.mskcc.org/%7Elianos/contact> > > > > ______________________________________________ > > 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-tp24574133p24591056.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. > [[alternative HTML version deleted]] ______________________________________________ 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.
