PSUBFAT2DBC {AgroR} R Documentation

## 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


[Package AgroR version 1.2.9 Index]