Description Usage Arguments Value Author(s) References See Also Examples
View source: R/LogisticFramework.R
Creates formula for the start Mixed Model based on equation and number of sexes in the data.
1 2 3 4 5 6 |
modelFormulaLR(numberofsexes,
depVariable,
sexIncluded,
dimorphismIncluded,
IncludeBatch)
|
numberofsexes |
a numerical value for levels of sex in the dataset (1 or 2); mandatory argument |
depVariable |
a character string defining the dependent variable of interest; mandatory argument |
sexIncluded |
include sex effect into formula or not; mandatory argument |
dimorphismIncluded |
include interaction effect of Genotype/Sex into formula or not; mandatory argument |
IncludeBatch |
include batch effect into formula or not; mandatory argument |
Returns formula to use.
Natalja Kurbatova, Natasha Karp, Jeremy Mason
Karp N, Melvin D, Sanger Mouse Genetics Project, Mott R (2012): Robust and Sensitive Analysis of Mouse Knockout Phenotypes. PLoS ONE 7(12): e52410. doi:10.1371/journal.pone.0052410
West B, Welch K, Galecki A (2007): Linear Mixed Models: A practical guide using statistical software New York: Chapman & Hall/CRC 353 p.
1 2 | formula <- PhenStat:::modelFormulaLR(numberofsexes=2,
depVariable="Lean.Mass",TRUE,TRUE,"No")
|
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