Dear “R” masters, I am trying to conduct an ANOVA with repeated measures using the command anova.mlm for data structured according to a Randomized Block Design. I would like to account for a random effect but cannot find a way to incorporate it in the analysis.
NB. I tried using the argument “M” to define the outer projection (block), I get the message that length differs. “response” is the dependent variable (3 years of heights measurements, merged with cbind). “estab” is a factor with 3 levels (whether trees were planted, seeded or naturally established). I would like to include “block” as a random effect. I would like to keep the structure of the response variable (so I don’t get an output with a test for each year: this is what happens when I use “lme” or “aov”). This is the code I am using: First, fit linear models: estabfit<-lm(response~estab) timefit<-lm(response~1) Then test the effect of the factor “estab” anova.mlm(timefit,estabfit,M=~1). How do I integrate “block”? I was inspired by: http://tolstoy.newcastle.edu.au/R/help/05/11/15744.html Thank you so much for your help! Cheers Marie-lou Lefrancois ______________________________________________ R-help@r-project.org 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.
