Nothing
##
## Example: Factorial Experiment (FE)
##
## The parameters can be: formula, aov, lm or lmer.
## Note: Upper case for factors and lowercase for levels
library(TukeyC)
data(FE)
## From: formula
## Nested: k1/p2/N
## The indices (1, 2, ...) are used to set the level of the factor
tk1 <- with(FE,
TukeyC(y ~ blk + N*P*K,
dfm,
which='K:P:N',
fl1=1,
fl2=2))
summary(tk1)
## Nested: k2/p1/N
tk2 <- with(FE,
TukeyC(y ~ blk + N*P*K,
dfm,
which='K:P:N',
fl1=2,
fl2=1))
summary(tk2)
## From aov
av1 <- with(FE,
aov(y ~ blk + N*P*K ,
data=dfm))
summary(av1)
## Main factor: N
tk3 <- TukeyC(av1,
which='N')
summary(tk3)
## Nested: k1/P
tk4 <- TukeyC(av1,
which='K:P',
fl1=1)
summary(tk4)
## Nested: k1/p2/N
tk4 <- TukeyC(av1,
which='K:P:N',
fl1=1,
fl2=2)
summary(tk4)
# Changing the order of factors (for test only)
av2 <- with(FE,
aov(y ~ blk + K*N*P,
data=dfm))
summary(av2)
## Nested: p1/n1/K
tk5 <- TukeyC(av2,
which='P:N:K',
fl1=1,
fl2=1)
summary(tk5)
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