PSUBFAT2DBC {AgroR}

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

Description

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

Usage

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)

Value

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