PSUBFAT2DBC: Analysis: Plot subdivided into randomized blocks with a...
In AgronomiaR/AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Description Usage Arguments Value Examples

This function performs the analysis of a randomized block design in a split-plot with a subplot in a double factorial scheme.

PSUBFAT2DBC(
  f1,
  f2,
  f3,
  block,
  resp,
  alpha.f = 0.05,
  alpha.t = 0.05,
  mcomp = "tukey"
)

`f1`	Numeric or complex vector with plot levels
`f2`	Numeric or complex vector with splitplot levels
`f3`	Numeric or complex vector with splitsplitplot levels
`block`	Numeric or complex vector with blocks
`resp`	Numeric vector with responses
`alpha.f`	Level of significance of the F test (default is 0.05)
`alpha.t`	Significance level of the multiple comparison test (default is 0.05)
`mcomp`	Multiple comparison test (Tukey (default), LSD and Duncan)

Analysis of variance of fixed effects and multiple comparison test of Tukey, Scott-Knott, LSD or Duncan.

f1=rep(c("PD","PDE","C"), e = 40);f1=factor(f1,unique(f1))
f2=rep(c(300,400), e = 20,3);f2=factor(f2,unique(f2))
f3=rep(c("c1", "c2", "c3", "c4"), e = 5,6);f3=factor(f3,unique(f3))
bloco=rep(paste("B",1:5),24); bloco=factor(bloco,unique(bloco))
set.seed(10)
resp=rnorm(120,50,5)
PSUBFAT2DBC(f1,f2,f3,bloco,resp,alpha.f = 0.5) # para soltar interaÃ§Ã£o tripla
PSUBFAT2DBC(f1,f2,f3,bloco,resp,alpha.f = 0.4) # para soltar interaÃ§Ã£o dupla