b2.test: B Square Test

Description

b2.test performs B square test.

Usage

b2.test(formula, data, alpha = 0.05, na.rm = TRUE, verbose = TRUE)

Value

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

statistic: the B square test statistic.
parameter: the parameter(s) of the approximate chi-squared distribution of the test statistic.
p.value: the p-value of the test.
alpha: the level of significance to assess the statistical difference.
method: the character string "B Square Test".
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.

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.
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.

Author

Merve Kasikci

References

Ozdemir, A.F., Kurt, S. (2006). One Way Fixed Effect Analysis of Variance under Variance Heterogeneity and a Solution Proposal. Selcuk Journal of Applied Mathematics, 7:2, 81-90.

Examples

Run this code


library(onewaytests)

b2.test(Sepal.Length ~ Species, data = iris)

out <- b2.test(Sepal.Length ~ Species, data = iris)
paircomp(out)

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