oneillmathews: Test for homogeneity of variances of ONeill and Mathews (CRD)

In ExpDes: Experimental Designs Package

Description

oneillmathews Performs the test for homogeneity of variances of ONeill and Mathews (2000).

Usage

oneillmathews(trat, resp, t, r)

Arguments

trat	Numeric or complex vector containing treatments.
resp	Numeric or complex vector containing the response variable.
t	Number of treatments.
r	Numeric or complex vector containing the number of replications of each treatment.

Value

Returns the p-value of ONeill and Mathews' test of homogeneity of variances and its practical interpretation for significance level of 5%.

Author(s)

Eric B Ferreira, [e-mail] @author Denismar Alves Nogueira @author Marcos Costa de Paula @author Mateus Pimenta Siqueira Lima

References

O'NEILL, M. E.; MATHEWS, K. L. A weighted least squares approach to levene test of homogeneity of variance. Australian e New Zealand Journal Statistical, 42(1):81-100, 2000.

NOGUEIRA, D, P.; PEREIRA, G, M. Desempenho de testes para homogeneidade de variancias em delineamentos inteiramente casualizados. Sigmae, Alfenas, v.2, n.1, p. 7-22. 2013.

See Also

bartlett, layard, levene, samiuddin.

Examples

data(ex1)
attach(ex1)
crd(trat, ig, quali = FALSE, hvar = "oneillmathews",
sigF = 0.05)

ExpDes documentation built on Oct. 5, 2021, 9:09 a.m.