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