shelflife

These data arise from an experiment using accelerated
life testing to determine the estimated shelf life of a photographic
developer. Maximum density and temperature seem to be reliable
indicators of overall developer/film performance.

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

shelflife function

A data frame with 21 rows and 3 variables:<dl>
 <dt>Time</dt>
<dd>a numeric vector giving the shelf life, in hours.</dd> <dt>Temp</dt>
<dd>a factor giving the temperature, in degrees celsius.</dd> <dt>Dmax</dt>
<dd>a numeric vector giving the maximum density.</dd>
</dl>

Format

Shelf life of a photographic developer — shelflife

A data frame with 21 rows and 3 variables:<dl>
 <dt>Time</dt>
<dd>a numeric vector giving the shelf life, in hours.</dd>

 <dt>Temp</dt>
<dd>a factor giving the temperature, in degrees celsius.</dd>

 <dt>Dmax</dt>
<dd>a numeric vector giving the maximum density.</dd>


</dl>

shelflife: Shelf life of a photographic developer

Description

Usage

Arguments

Format

References

Examples