PSUBFAT2DBC function

Analysis: Plot subdivided into randomized blocks with a subplot in a double factorial scheme

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,
  norm = "sw",
  homog = "bt",
  mcomp = "tukey"
)

Arguments

• 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)
• norm: Error normality test (default is Shapiro-Wilk)
• homog: Homogeneity test of variances (default is Bartlett)
• mcomp: Multiple comparison test (Tukey (default), LSD and Duncan)

Returns

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

Examples

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) # force triple interaction
PSUBFAT2DBC(f1,f2,f3,bloco,resp,alpha.f = 0.4) # force double interaction