FTukeyHSD: Calculates the Tukey HSD test corresponding to the fuzzy...

In FuzzySTs: Fuzzy Statistical Tools

Description

Calculates the Tukey HSD test corresponding to the fuzzy response variable

Usage

FTukeyHSD(test, variable, cont = c(1, -1), conf.level = 0.95)

Arguments

test	a result of a call of the function FMANOVA.
variable	the name of a variable in the data set.
cont	the contrasts of the model. It is set by default to c(1,-1).
conf.level	the confidence level of the test. It is set by default to 0.95.

Value

Returns a table of comparisons of means of the different levels of a given factor, two by two. The table contains the means of populations, the lower and upper bounds of the confidence intervals, and their p-values.

Examples

mat <- matrix(c(2,2,1,1,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,2,3,4,4,3,1,2,5,4,4,3),ncol=3)
data <- data.frame(mat)
MF131 <- TrapezoidalFuzzyNumber(0,1,1,2)
MF132 <- TrapezoidalFuzzyNumber(1,2,2,3)
MF133 <- TrapezoidalFuzzyNumber(2,3,3,4)
MF134 <- TrapezoidalFuzzyNumber(3,4,4,5)
MF135 <- TrapezoidalFuzzyNumber(4,5,5,6)
PA13 <- c(1,2,3,4,5); mi <- 1; si <- 3
Yfuzz <- FUZZ(data,1,3,PA13)
attach(data)
formula <- X3 ~ X1 + X2
res <- FMANOVA(formula, data, Yfuzz, method = "distance", distance.type = "wabl")
FTukeyHSD(res, "X1")[[1]]
detach(data)

FuzzySTs documentation built on Nov. 23, 2020, 5:11 p.m.