crabgrass: Crabgrass data.

In kloke/jrfit: Joint ranking estimates

Description

Data are presented in Cobb (1998). Split plot design (with two plots). Outcome variable is yield of crab grass.

Usage

data(crabgrass)

Format

A matrix frame with 64 observations on 8 variables.

Details

Cobb (1998) presented an example of a complete block design concerning the weight of crab grass. The fixed factors in the experiment are the density of the crabgrass (four levels) and the levels (two) of the three nutrients nitrogen, phosphorus, and potassium. Two complete blocks of the experiment were carried out, so altogether there are N = 64 observations. The response is the dry weight crab grass was grown in a cup.

Source

Cobb (1998), Introduction to Design and Analysis of Experiments, New York: Wiley.

References

Kloke, J.D., McKean, J.W., Rashid, M. (2009), Rank-based estimation and associated inferences for linear models with cluster correlated errors, Journal of the American Statistical Association, 104, 384-390.

Examples

data(crabgrass)
x<-crabgrass[,1:6]
y<-crabgrass[,7]
block<-crabgrass[,8]
summary(jrfit(x,y,block))

kloke/jrfit documentation built on May 20, 2019, 12:34 p.m.