| fabric {npmlreg} | R Documentation |
The Fabric Data
Description
The data are 32 observations on faults in rolls of fabric
Usage
data(fabric)Format
A data frame with 32 observations on the following 3 variables.
- leng
the length of the roll : a numeric vector
- y
the number of faults in the roll of fabric : a discrete vector
- x
the log of the length of the roll : a numeric vector
Details
The data are 32 observations on faults in rolls of fabric taken from Hinde (1982) who used the EM algorithm to fit a Poisson-normal model. The response variable is the number of faults in the roll of fabric and the explanatory variable is the log of the length of the roll.
Note
This data set and help file is an identical copy
of the fabric data in package gamlss.data.
Source
John Hinde.
References
Hinde, J. (1982) Compound Poisson regression models: in GLIM 82, Proceedings of the International Conference on Generalized Linear Models, ed. Gilchrist, R., 109–121, Springer: New York.
Examples
data(fabric)
attach(fabric)
plot(x,y)
detach(fabric)