anova2: Two-way analysis of variance

In adoocavo/Rstat_M1: Basic Statistical Methods in R

Two-way analysis of variance

Description

Two-way analysis of variance

Usage

anova2(y, f1, f2, xl1, xl2, yl, step = 0:7, alp = 0.05, inter = TRUE,
  maxim = TRUE, nb = 4, dig = 4)

Arguments

y	Response variable data
f1	Levels of factor1 (same length as y)
f2	Levels of factor2 (same length as y)
xl1	Label of x-axis (default=name of f1)
xl2	Legend label (default=name of f2)
yl	Label of y-axis (default=name of y)
step	Steps of the analysis of variance, Default: 0:7
alp	Level of significance, Default: 0.05
inter	Logical value for including interaction, Default: TRUE
maxim	Logical value for maximization problem, Default: TRUE
nb	Number of best level to be compared, Default: 4
dig	Number of digits below the decimal point, Default: 4

Value

None.

Examples

Yield = c(76,79,81,79,83,85, 79,81,84,86,89,88, 87,91,91,94,88,86, 79,82,85,84,77,76)
f1 = c(rep(100,6), rep(150,6), rep(200,6), rep(250,6))
f2 = rep(c(1,1,2,2,3,3), 4)
Temp = as.factor(f1)
Press = as.factor(paste0(f2, "Psig"))
anova2(Yield, Temp, Press)

adoocavo/Rstat_M1 documentation built on March 19, 2022, 3:34 a.m.