[R] Split Plot and Tukey

[Gabriela Cendoya]

Hi:
this should work, (but you don't specify what is "ganhos" but I'm guessing 
is the right object...)

anava = aov(ganhos ~ Blocos + Trat*Supl +
Error(Blocos/Trat))
df<-summary(anava)[[2]][[1]][2,1]
MSerror <- summary(anava)[[2]][[1]][2,3]
HSD.test(ganhos, Trat, df , MSerror, alpha = 0.05)

Gabriela

______________________________
Lic. María Gabriela Cendoya
Magíster en Biometría
Profesor Adjunto
Cátedra de Estadística y Diseño
Facultad de Ciencias Agrarias
Universidad Nacional de Mar del Plata
______________________________



----- Original Message ----- 
From: "Silvano" <silvano at uel.br>
To: <r-help at r-project.org>
Sent: Wednesday, February 17, 2010 9:15 AM
Subject: [R] Split Plot and Tukey


Hi,

I did the analysis of variance of a split-plot and the
effect of treatment was significant.
I would like compare treatment means using Tukey.
I can't extract the mean square to apply HSD.test to use in
agricolae package.

anava = aov(ganhos ~ Blocos + Trat*Supl +
Error(Blocos/Trat))
names(anava)
summary(anava)

require(agricolae)
HSD.test(ganhos, Trat, df, MSerror, alpha = 0.05)

Thanks

--------------------------------------
Silvano Cesar da Costa
Departamento de Estatística
Universidade Estadual de Londrina
Fone: 3371-4346

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