R help - Aug 2009 - GLMs

Hi,

I am starting to work with R. 

I need to performe a General linear model and a Generalized mixed model, what
are the package I have to use for?

what is the difference between them?

thanks

letizia

 

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Hi,

On Aug 26, 2009, at 6:53 AM, Letizia Campioni wrote:
>
> Hi,
>
> I am starting to work with R.
>
> I need to performe a General linear model and a Generalized mixed  
> model, what are the package I have to use for?

R> RSiteSearch("general linear model")
R> RSiteSearch("Generalized mixed model")

Will provide many answers.

-steve

--
Steve Lianoglou
Graduate Student: Computational Systems Biology
   |  Memorial Sloan-Kettering Cancer Center
   |  Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact

Letizia Campioni wrote:
> 
> 
> Hi,
> 
> I am starting to work with R. 
> 
> I need to performe a General linear model and a Generalized mixed model,
> what are the package I have to use for?
> 
> what is the difference between them?
> 
> 
General linear models (called GLM mostly by SAS users) are implemented by lm
(no need
to install or load additional packages).
General*ized* linear models (called GLM by everyone else): use glm (still no
need for
extra packages).
Linear mixed models (LMMs): nlme (library("nlme"), no need to install
extras.
Generalized linear mixed models (GLMMS): lme4 --
install.packages("lme4");
library("lme4"), ?glmer

  This list is not generally for "general statistics" questions --
you're
expected to know *what*
you want to do, and we will help you with *how* to do it in R (provided you
have read
the posting guide and formulated a useful question).  I would suggest a book
-- check out
the R books page ( http://www.r-project.org/doc/bib/R-books.html ) -- maybe
Faraway?

  

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