scatterplotGenotypeWeight {PhenStat} | R Documentation |
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.
scatterplotGenotypeWeight( phenList, depVariable = NULL, graphingName = NULL, outputMessages = TRUE )
phenList |
instance of the |
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 |
Empty.
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.
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")