R help - Jul 2003 - anova

I am totally confused as to how to use anova.  I have three vectors and would 
like to use anova on them but I don't understand how lm or glm comes into 
play.  In matlab, you just give the three vectors.  Why isn't it the same in
R?


Any help would be greatly appreciated.


Anna

Anna H. Pryor wrote:
> I am totally confused as to how to use anova.  I have three vectors and
would
> like to use anova on them but I don't understand how lm or glm comes
into
> play.  In matlab, you just give the three vectors.  Why isn't it the
same in
> R?
Because R is not Matlab?
You can calculate anova on an lm model such as lm(y ~ x1 + x2), see also 
?aov which calls lm() internally.
In any case, you need to learn how to write those formulas. Please read 
the docs.

Uwe Ligges
> 
> Any help would be greatly appreciated.
> 
> 
> Anna
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help

I looked at the Introduction to R and am still confused.  Would it be possible 
to ask a question in which I have three vectors and I want to perform an 
anova on them.  Say A,B, and C.  Is there a standard form that I could use in 
lm to get a model that I could use in anova?  Do I need to know more about my 
problem?

I really appreciate any help in this.

anna






On Monday 04 August 2003 03:26, Jim Lemon wrote:
> Anna  H. Pryor wrote:
> > I am totally confused as to how to use anova.  I have three vectors
and
> > would like to use anova on them but I don't understand how lm or
glm
> > comes into play.  In matlab, you just give the three vectors.  Why
isn't
> > it the same in R?
>
> R is almost entirely based on functions, more similar to a programming
> language (which in fact it is) than a pushbutton stats application. One
> good thing about this is that the user has to think about the type of
> ANOVA that is desired: factorial, mixed model, etc. Also, whether ANOVA is
> appropriate - is a linear model being tested? Is the response variable
> distributed normally, etc.?
>
> One of the disadvantages of R is that you do have to wade through a fair
> amount of material to decide the answers to such questions. The official
> documentation, An Introduction to R, should help you to make these
> decisions. I compiled one of the quickie introductions to R, Kickstarting
> R, but that will probably not go deeply enough. However, you might get a
> start by looking at it online at:
>
> http://cran.r-project.org
>
> under Contributed Documentation. A bit more advanced is "Notes on the
use
> of R..." by Jonathan Baron & Yuelin Li. Do have a look at "An
Introduction
> to R", though, it is much more comprehensive.
>
> Jim