ptb: Paratuberculosis of Cows

In daniel-gerhard/qpcrmix: Mixed model analysis of qPCR data

Description

Two-way factorial in a randomized Split-Plot design.

Usage

data(ptb)

Format

A data frame with 96 observations on the following 7 variables.

Well

a factor

Type

a factor denoting the paratuberculosis status (Clinical, Subclinical, or Control)

Name

a factor indicating the experimental unit (an individual cow)

group

a factor referring to PTB challange (or not) of blood cells from each cow

Detector

a factor

Ct

a numeric response variable with cycle numbers as observations

StdDev

Standard Deviation

References

Coussens P. M., Colvin C. J., Rosa G. J., Perez Laspiur J., and Elftman M. D., Evidence for a novel gene expression program in peripheral blood mononuclear cells from Mycobacterium avium subsp. paratuberculosis-infected cattle, Infect Immun 71 (2003) 6487-98.

Examples

data(ptb)
qptb <- qpcr(data=ptb, response="Ct",
             gene="Detector", control_gene="BetaActin",
             fixed1="Type", fixed2="group",
             rep_id="Name",
             block=FALSE, splitplot=TRUE,
             contrasts=TRUE, interaction=FALSE, adjusted=FALSE)

# model
qptb$model
# testing deltaCt contrasts
qptb$pvalues 

daniel-gerhard/qpcrmix documentation built on May 14, 2019, 3:39 p.m.