AP.test {asbio}

Agresti-Pendergrast test

Description

Provides a more powerful alternative to Friedman's test for blocked (dependent) data with a single replicate.

Usage

AP.test(Y)

Arguments

Y

A matrix with treatments in columns and blocks (e.g. subjects) in rows.

Details

The Agresti-Pendergrast test is more powerful than Friedman's test, given normality, and remains powerful in heavier tailed distributions (Wilcox 2005).

Value

Returns a dataframe showing the numerator and denominator degrees of freedom, F test statistic, and p-value.

Note

code based on Wilcox (2005).

Author(s)

Ken Aho

References

Wilcox, R. R. (2005) Introduction to Robust Estimation and Hypothesis Testing, Second Edition. Elsevier, Burlington, MA.

See Also

friedman.test, MS.test

Examples

temp<-c(2.58,2.63,2.62,2.85,3.01,2.7,2.83,3.15,3.43,3.47,2.78,2.71,3.02,3.14,3.35,
2.36,2.49,2.58,2.86,3.1,2.67,2.96,3.08,3.32,3.41,2.43,2.5,2.85,3.06,3.07)
Y<- matrix(nrow=6,ncol=5,data=temp,byrow=TRUE)
AP.test(Y)