boxplotSexGenotype: Method "boxplotSexGenotype"
In PhenStat: Statistical analysis of phenotypic data

Description Usage Arguments Value Author(s) References See Also Examples

Graph function for the phenotypic dataset. Creates a box plot split by sex and genotype.

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

`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

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.

PhenList

  file <- system.file("extdata", "test1.csv", package="PhenStat")
  test <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
                              testGenotype="Sparc/Sparc")
  # box plot for dataset with two sexes: males and females
  PhenStat:::boxplotSexGenotype(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/+")
  # box plot for females only dataset
  PhenStat:::boxplotSexGenotype(test_1sex,
                                depVariable="Lean.Mass",
                                graphingName="Lean Mass (g)")