agp.test: Alvandi's Generalized P-Value

In onewaytests: One-Way Tests in Independent Groups Designs

Alvandi's Generalized P-Value

Description

agp.test performs Alvandi's generalized p-value.

Usage

agp.test(formula, data, N = 10^5, alpha = 0.05, na.rm = TRUE, verbose = TRUE)

Arguments

formula	a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.
data	a tibble or data frame containing the variables in formula.
N	the number of bootstrap samples. Default is set to 10^5.
alpha	the level of significance to assess the statistical difference. Default is set to alpha = 0.05.
na.rm	a logical value indicating whether NA values should be stripped before the computation proceeds.
verbose	a logical for printing output to R console.

Value

A list with class "owt" containing the following components:

p.value	the Alvandi's generalized p-value.
alpha	the level of significance to assess the statistical difference.
method	the character string "Alvandi's Generalized P-Value".
data	a data frame containing the variables in which NA values (if exist) are removed.
formula	a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.
N	the number of bootstrap samples.

Author(s)

Merve Kasikci

References

Sadooghi-Alvandi, S.M., Jafari, A.A., Mardani-Fard, H.A. (2012). One-Way ANOVA with Unequal Variances. Communications in Statistics-Theory and Methods, 41:22, 4200-4221.

Examples

library(onewaytests)


agp.test(Sepal.Length ~ Species, data = iris)

out <- agp.test(Sepal.Length ~ Species, data = iris)
paircomp(out)

onewaytests documentation built on Oct. 2, 2023, 1:09 a.m.