fabric: Fabric faults
In glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models
fabric R Documentation
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"))
glmtoolbox documentation built on Oct. 10, 2023, 9:06 a.m.
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| fabric | R Documentation |
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"))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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