R help - May 2009 - Randomized-complete blocks design and R

Hi,

I am new in R.I am trying to analysis of variance for Randomized-complete
blocks design. I have 4 treatments and 3 replication,





Without intraction.then .I is going to use LSD test or Duncan test for
comparison between average values of treatments.

I want to know, is there any significant change between treatment and
between weeks? Because I did experiment for 8 weeks.



I am not familiar with R very well. Dose anybody has this Code?

Please help me.



Kind regards,

Alisa

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alis villiyam <aalisiyan <at> gmail.com> writes:
> I am new in R.I am trying to analysis of variance for Randomized-complete
> blocks design. I have 4 treatments and 3 replication,
> 
> Without intraction.then .I is going to use LSD test or Duncan test for
> comparison between average values of treatments.
> 
> I want to know, is there any significant change between treatment and
> between weeks? Because I did experiment for 8 weeks.
> 
Try lme in package nlme, but you need the documentation in the book
by Pinheiro/Bates to get started, otherwise there is little chance.

Something like (assuming repl is numeric, or a "time")
 
  summary(lme(effect~treat*repl, data=mydata, random=~1|subject))

Possible followed by a multiple comparison test of the contrasts 
from package multcomp. 

If you only do it once, you might get results faster by using SPSS or
Systat (I avoid mentioning the three-letter alternative here)

Dieter