fabric

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.

datasets

Set of tools for the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial and random-clumped binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) Zero-inflated and zero-altered regression models to deal with zero-excess in count data; (6) generalized nonlinear models; (7) generalized estimating equations for cluster correlated data.

Luis Hernando Vanegas

glmtoolbox

Set of Tools to Data Analysis using Generalized Linear Models

Luz Marina Rondón

Gilberto A. Paula

fabric function

A data frame with 32 rows and 2 variables:<dl>
 <dt>roll</dt>
<dd>a numeric vector indicating the length of the rolls.</dd> <dt>faults</dt>
<dd>a numeric vector indicating the number of faults.</dd>
</dl>

Format

Fabric faults — fabric

A data frame with 32 rows and 2 variables:<dl>
 <dt>roll</dt>
<dd>a numeric vector indicating the length of the rolls.</dd>

 <dt>faults</dt>
<dd>a numeric vector indicating the number of faults.</dd>


</dl>

fabric: Fabric faults

Description

Usage

Arguments

Format

References

Examples