FAMT (version 2.6)

covariates: Covariates data frame

Description

A data frame with 6 covariates in columns and 43 arrays in rows, describing the arrays of the expression dataset. See also expression, annotations

Usage

data(covariates)

Format

A data frame with 43 observations on the following 6 variables.

AfClass

a factor with levels F (Fat) L (Lean) NC (Intermediate) giving the abdominal fatness class

ArrayName

Identifying the arrays (character)

Mere

a factor with 8 levels giving the dam of the offsprings

Lot

a factor with 4 levels giving the hatch

Pds9s

a numeric vector giving the body weight

Af

a numeric vector giving the abdominal fatness, the experimental condition of main interest in this example

References

Blum Y., Le Mignon G., Lagarrigue S. and Causeur S. (2010) - A factor model to analyze heterogeneity in gene expression, BMC Bioinformatics, 11:368.

Le Mignon, G. and Desert, C. and Pitel, F. and Leroux, S. and Demeure, O. and Guernec, G. and Abasht, B. and Douaire, M. and Le Roy, P. and Lagarrigue S. (2009) - Using trancriptome profling to characterize QTL regions on chicken chromosome 5. BMC Genomics, 10:575.

Examples

# NOT RUN {
data(covariates)
dim(covariates) 
summary(covariates)
# }