scatterplotGenotypeWeight: Method "scatterplotGenotypeWeight"

In PhenStat: Statistical analysis of phenotypic data

Description

Graph function for the phenotypic dataset. Creates a scatter plot body weight versus dependent variable.

Both a regression line and a loess line (locally weighted line) is fitted for each genotype.

Usage

    scatterplotGenotypeWeight(
					  phenList,
					  depVariable = NULL,
					  graphingName = NULL,
					  outputMessages = TRUE
)

Arguments

phenList	instance of the PhenList class; mandatory argument
depVariable	a character string defining the dependent variable of interest; mandatory argument
graphingName	a character string defining the name to be used on the graph for the dependent variable; mandatory argument
outputMessages	flag: "FALSE" value to suppress output messages; "TRUE" value to show output messages; default value TRUE

Value

Empty.

Author(s)

Natalja Kurbatova, Natasha Karp, Jeremy Mason

References

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.

See Also

PhenList

Examples

    file <- system.file("extdata", "test1.csv", package="PhenStat")
    test <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
            testGenotype="Sparc/Sparc")
    PhenStat:::scatterplotGenotypeWeight(test,
            depVariable="Bone.Mineral.Content",
            graphingName="BMC" )
    file <- system.file("extdata", "test4.csv", package="PhenStat")
    test_1sex <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
            testGenotype="Mysm1/+")
    PhenStat:::scatterplotGenotypeWeight(test_1sex,
            depVariable="Lean.Mass",
            graphingName="Lean Mass")

PhenStat documentation built on Nov. 8, 2020, 8:13 p.m.