anova2: Two-way analysis of variance

In jhk0530/Rstat: Basic Statistical Methods in R

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)
#' @export

jhk0530/Rstat documentation built on Dec. 20, 2021, 11:11 p.m.