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 <sbpurohit@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.
>

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