Tire Wear Data Set

Description

Operating costs per mile for two brands of tires; data set taken from Westfall et al. (1999, p. 109). Confidence bands for difference of regression functions.

Usage

data(tire)

Format

This data frame contains the following variables

make

Tire brand at 2 levels: A and B.

mph

Miles per Hour as predictor variable.

cost

Response variable: operating costs per mile.

Details

See Westfall et al. (1999, p. 109)

Source

P. H. Westfall, R. D. Tobias, D. Rom, R. D. Wolfinger, Y. Hochberg (1999). Multiple Comparisons and Multiple Tests Using the SAS System. Cary, NC: SAS Institute Inc.

Examples

data(tire)
C <- c(0,1,-1,0,10,-10)
for ( x in seq(15,70,5) ) { C <- rbind( C,c(0,1,-1,0,x,-x) ) }
# numerate the contrasts
rownames(C) <- paste("C", 1:nrow(C), sep="")

# simultaneous confidence intervals for difference of regression functions
summary(simint(cost ~ make*mph, data=tire,
               cmatrix=C, eps=0.001))