huitema496: Analysis of Covarince Data Set

In npsm: Nonparametric Statistical Methods

Analysis of Covarince Data Set

Description

A data set presented on Page 496 of huitema (2011). The design is a 2 by 2 with one covariate.

Usage

data(huitema496)

Format

A 16 by 4 array with the following 4 columns:

y

number of novel responses.

i

type of reinforcement (2 levels).

j

type of program (2 levels).

x

covariate, a measure of verbal fluency.

Details

Discussion can be found in both references listed below.

Source

Huitema, B.E. (2011), The analysis of covariance and alternatives, 2nd ed., New York: Wiley.

References

Huitema, B.E. (2011), The analysis of covariance and alternatives, 2nd ed., New York: Wiley.

Kloke, J. and McKean, J.W. (2014), Nonparametric statistcal methods using R, Boca Raton, FL: Chapman-Hall.

Examples

huitema496 <- data.frame(huitema496)
fit <- rfit(y~factor(i)+factor(j)+x,data=huitema496)
summary(fit)

npsm documentation built on May 29, 2024, 3:07 a.m.