Message-ID: <loom.20090505T062909-516@post.gmane.org>
Date: 2009-05-05T06:33:29Z
From: Dieter Menne
Subject: Randomized-complete blocks design and R
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