plot.Tukey.HSD: Plot the results of Tukey's Honest Significance Difference...

In NormData: Derivation of Regression-Based Normative Data

Plot the results of Tukey's Honest Significance Difference test.

Description

This function plots the results of Tukey's Honest Significance Difference (HSD; Tukey, 1949) test that allows for making post hoc comparisons of the group means. Tukey's HSD can only be conducted when the mean structure of the Stage 1 model only contains qualitative independent variables (i.e., when the fitted regression model is essentially an ANOVA).

Usage

## S3 method for class 'Tukey.HSD'
plot(x, ...)

Arguments

x	A fitted object of class Tukey.HSD.
...	Extra graphical parameters to be passed to plot().

Value

No return value, called for side effects.

Author(s)

Wim Van der Elst

References

Tukey, J. (1949). Comparing individual means in the Analysis of Variance. Biometrics, 5, 99-114.

Van der Elst, W. (2024). Regression-based normative data for psychological assessment: A hands-on approach using R. Springer Nature.

See Also

Tukey.HSD

Examples

data(Personality)
Model.Openness <- Stage.1(Dataset = Personality, Model = Openness ~ LE) 
# conduct post hoc comparisons for the levels of education
Tukey.Openness <- Tukey.HSD(Model.Openness)
summary(Tukey.Openness)
plot(Tukey.Openness)

# conduct post hoc comparisons for the levels of education by education combinations
data(Substitution)
Model.Substitution <- Stage.1(Dataset = Substitution, Model = LDST ~ LE*Gender)
Tukey.Substitution <- Tukey.HSD(Model.Substitution)
summary(Tukey.Substitution)
plot(Tukey.Substitution)

NormData documentation built on May 29, 2024, 6:23 a.m.