RL {CMHNPA}

RL Test

Description

RL returns the test statistic and p-value for the RL test. This test is applicable to Latin square designs. The test is not recommended though as block effects contaminate the response variable leading to unacceptable test size.

Usage

RL(y, treatment, block1, block2)

Arguments

y

a numericc vector for the response variable.

treatment

a vector giving the treatment type for the corresponding elements of y.

block1

a vector giving the first blocking variable for the corresponding elements of y.

block2

a vector giving the second blocking variable for the corresponding elements of y.

Value

A list containing the RL test statistic adjusted for ties together with the associated p-value using a chi-squared distribution with t-1 degrees of freedom.

References

Rayner, J.C.W and Livingston, G. C. (2022). An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA. Wiley.

See Also

ARL() CARL()

Examples

attach(peanuts)
RL(y = yield, treatment = treatment, block1 = row, block2 = col)