[R] Anova Test

[Petr PIKAL]

r-help-bounces at stat.math.ethz.ch napsal dne 15.05.2007 17:32:35:

> 
> 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?

Better is to use stacked format.

value  testno
20     t1
...    t1
40     t1
25     t2
...    t2
20     t2
...

then

anova(lm(value~testno, data=yourdata)) will give you anova table.
However be carefull to keep testno as a factor. You could also consult 
some introductory literature which can be find on CRAN, especially about 
data manipulation and linear models. Maindonald, Verzani or Faraway is a 
good starting choice.

Regards
Petr


> 
> 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 .
> > 
> > ______________________________________________
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> > 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
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> 
> ______________________________________________
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> PLEASE do read the posting guide 
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.