If your data is inside a data.frame names 'a' with data from each group in a
different columns,..., you can use "stack" and perform the anova with:

l <- aov(values~ind,data=stack(a))
anova(l)

Christophe Pallier



On 5/15/07, CrazyJoe <keizer_61@hotmail.com> wrote:
>
>
> Thank you Guys.
>
> Let say that from Test1 to control i have multiple data
>
> Tester
> Test1 Test2  Test3  Test4  Control
> 20       25      15        10       17
> .           .         .           .          .
> .           .         .           .          .
> 40       20       15        35      45
>
> Is this the method i need to use?
>
> anova(lm(......this is where i am not sure how to put them.
>
> is this something to do with anova(lm(dependent~independent*independent,
> data=name)
>
> if they are all independent, how do i put them together?
>
> thanks.
>
>
> Ben Bolker-2 wrote:
> >
> >
> >
> > CrazyJoe <keizer_61 <at> hotmail.com> writes:
> >
> >>
> >> I am very new to R. I am trying to perform an Anova Test and see if it
> >> differs or not.
> >>
> >> Basically, i have 4 tests and 1 control.
> >>
> >> Tester
> >> Test1 Test2  Test3  Test4  Control
> >> 20       25      15        10       17
> >>
> >
> > You can't make any inferences with the data you have here.
> > You need to have multiple observations per treatment!
> > See the examples for ?lm .
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch 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/Anova-Test-tf3758829.html#a10625154
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@stat.math.ethz.ch 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.
>



-- 
Christophe Pallier (http://www.pallier.org)

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