dilution

These data are counts of virus particles at 5 different
dilutions. There are 4 replicate counts at each dilution except the
last for which there are 5 counts. The aim is to estimate the expected
number of virus particles per unit volume.

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

dilution function

A data frame with 21 rows and 2 variables:<dl>
 <dt>Count</dt>
<dd>a numeric vector indicating the count of virus particles.</dd> <dt>Dilution</dt>
<dd>a numeric vector indicating the dilution volume.</dd>
</dl>

Format

Dilution Assay — dilution

A data frame with 21 rows and 2 variables:<dl>
 <dt>Count</dt>
<dd>a numeric vector indicating the count of virus particles.</dd>

 <dt>Dilution</dt>
<dd>a numeric vector indicating the dilution volume.</dd>


</dl>

dilution: Dilution Assay

Description

Usage

Arguments

Format

Examples