[BioC] Evaluating differentiall expressed genes

[Naomi Altman]

While we are on the topic of strategies for learning Bioconductor, I 
would like to recommend the wonderful R tutorial that is available on 
the "html help" page.
"An Introduction to R"

I have been using some version or other of R (or S) since 1982, and I 
still learned a lot from this document.  I also use it to teach a 
course that covers R for complete novices.

--Naomi

At 09:45 AM 12/9/2005, Seth Falcon wrote:
>On  7 Dec 2005, naomi at stat.psu.edu wrote:
> > I have not used this particular Bioconductor package.  But I have
> > learned in general how to deal with the various types of objects
> > that the Bioconductor developers have created for us.
>
>These are good suggestions and I use this approach all the time to get
>a feel for code I'm not familiar with.
>
> > class(myobject)
> >
> > tells you the class of "myobject"
> >
> > ?myclass
> >
> > should give the documentation of what the class "myclass" consists
> > of
>
>For S4 classes, it will sometimes be necessary to use:
>
>class ? myclass
>
>Another thing to do is to scan the index of functions:
>
>help(package = "mypackage")
>
>+ seth
>
>_______________________________________________
>Bioconductor mailing list
>Bioconductor at stat.math.ethz.ch
>https://stat.ethz.ch/mailman/listinfo/bioconductor

Naomi S. Altman                                814-865-3791 (voice)
Associate Professor
Dept. of Statistics                              814-863-7114 (fax)
Penn State University                         814-865-1348 (Statistics)
University Park, PA 16802-2111