summary.gfdmcv: Print "gfdmcv" object

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

Print "gfdmcv" object

Description

Prints the summary of the inference methods for CV and MCVs.

Usage

## S3 method for class 'gfdmcv'
summary(object, ...)

Arguments

object	an "gfdmcv" object.
...	integer indicating the number of decimal places to be used to present the numerical results, It can be named digits as in the round() function (see examples).

Details

The function prints out the information about the significance level, constrast matrices, test statistics, p-values, critical values, simultaneous confidence intervals for contrasts performed by the GFDmcv() function.

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)
summary(res, digits = 3)

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