fabric {glmtoolbox}

Fabric faults

Description

The main objective of the analysis of this dataset is to assess if there is an association between the number of faults in fabric rolls and their length.

Usage

data(fabric)

Format

A data frame with 32 rows and 2 variables:

roll

a numeric vector indicating the length of the rolls.

faults

a numeric vector indicating the number of faults.

References

Hinde J., Demetrio C.G.B. (1998) Over-dispersion: models and estimation. Computational Statistics & Data Analysis 27:151–170.

Examples

dev.new()
data(fabric)
with(fabric,plot(roll, faults, pch=16, xlab="Length of roll", ylab="Number of faults"))