FTukeyHSD {FuzzySTs}

Calculates the Tukey HSD test corresponding to the fuzzy response variable

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)