easyanova (version 1.1)

ea4: Analysis of variance in triple factorial designs

Description

Perform analysis of variance and other important complementary analyzes in triple factorial scheme, with balanced and unbalanced data.

Usage

ea4(data)

Arguments

data

data is a data.frame

data frame with four columns, factor 1, factor 2, factor 3 and response (factorial in completely randomized design)

data frame with five columns, factor1, factor 2, factor 3, blocks and response (factorial in randomized block design

Value

• Returns analysis of variance, normality test, coefficient of variation, means (adjusted means), multiple comparisons tests.

Details

The response variable must be numeric. Other variables can be numeric or factors.

References

SAMPAIO, I. B. M. Estatistica aplicada a experimentacao animal. 3nd Edition. Belo Horizonte: Editora FEPMVZ, Fundacao de Ensino e Pesquisa em Medicina Veterinaria e Zootecnia, 2010. 264p.

See Also

ea1, ea2, ea3, ea5, ea6, ea7, ea8, lme, glht

Examples

# Sampaio (2010)
data(data9)

# analysis in completely randomized design
ndata<-data9[-4]

r1<-ea4(ndata)

names(r1)


r1["Adjusted means (treatments_f1f2)"]

r1["Adjusted means (treatments_f1f2f3)"]

r1[c(4,5,6)]

r1


# analysis in randomized block design

r2<-ea4(data9)

r1[1];r2[1]

r2