Last data update: 2014.03.03

R: Method "scatterplotGenotypeWeight"
scatterplotGenotypeWeightR Documentation

Method "scatterplotGenotypeWeight"

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

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

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(PhenStat)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/PhenStat/scatterplotGenotypeWeight.Rd_%03d_medium.png", width=480, height=480)
> ### Name: scatterplotGenotypeWeight
> ### Title: Method "scatterplotGenotypeWeight"
> ### Aliases: scatterplotGenotypeWeight
> 
> ### ** Examples
> 
>     file <- system.file("extdata", "test1.csv", package="PhenStat")
>     test <- PhenList(dataset=read.csv(file),
+             testGenotype="Sparc/Sparc")
Warning:
Dataset's column 'Assay.Date' has been renamed to 'Batch' and will be used for the batch effect modelling.

Information:
Dataset's 'Genotype' column has following values: '+/+', 'Sparc/Sparc'

Information:
Dataset's 'Sex' column has following value(s): 'Female', 'Male'

>     scatterplotGenotypeWeight(test,
+             depVariable="Bone.Mineral.Content",
+             graphingName="BMC" )
>     file <- system.file("extdata", "test4.csv", package="PhenStat")
>     test_1sex <- PhenList(dataset=read.csv(file),
+             testGenotype="Mysm1/+")
Warning:
Dataset's column 'Assay.Date' has been renamed to 'Batch' and will be used for the batch effect modelling.

Information:
Dataset's 'Genotype' column has following values: '+/+', 'Mysm1/+'

Information:
Dataset's 'Sex' column has following value(s): 'Female'

>     scatterplotGenotypeWeight(test_1sex,
+             depVariable="Lean.Mass", 
+             graphingName="Lean Mass")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>