[R] Re gression using age and Duration of disease as a continous factors

[1Rnwb]

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
> 
> ______________________________________________
> R-help at 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.