plot.gfdmcv {GFDmcv}

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)