plot.gfdmcv: Plot simultaneous confidence intervals for contrasts

In GFDmcv: General Hypothesis Testing Problems for Multivariate Coefficients of Variation

Plot simultaneous confidence intervals for contrasts

Description

Simultaneous confidence intervals for contrasts for CV and MCVs and their reciprocals are plotted.

Usage

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

Arguments

x	an "gfdmcv" object.
...	additional arguments not used.

Value

No return value, called for side effects.

Examples

# Some of the examples may run some time. 
# For more examples, see the documentation of the GFDmcv() function.
data_set <- lapply(list(iris[iris$Species == "setosa", 1:3],
                        iris[iris$Species == "versicolor", 1:3],
                        iris[iris$Species == "virginica", 1:3]),
                   as.matrix)
# estimators and confidence intervals of MCVs and their reciprocals
lapply(data_set, e_mcv)
# contrast matrices
k <- length(data_set)
# Tukey's contrast matrix
h_mct <- contr_mat(k, type = "Tukey")
# centering matrix P_k
h_wald <- contr_mat(k, type = "center") 

# testing without parallel computing
res <- GFDmcv(data_set, h_mct, h_wald)
oldpar <- par(mar = c(4, 5, 2, 0.3))
plot(res)
par(oldpar)

GFDmcv documentation built on Feb. 16, 2023, 6:34 p.m.