Description Usage Arguments Value Author(s) References See Also Examples
View source: R/graphsResults.R
Graph function for the phenotypic dataset. Creates a scatterplot split by sex, genotype and batch. refGenotype data points are shown in black and the testGenotype data points are shown in red. It is based on PhenTestResult object.
Note: the batches are not ordered with time but allow assessment of how the testGenotype data lie relative to the variation within the refGenotype data.
1 2 3 | scatterplotSexGenotypeBatchResult(phenTestResult,
graphingName = NULL,
outputMessages = TRUE)
|
phenTestResult |
instance of the |
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | file <- system.file("extdata", "test1.csv", package="PhenStat")
test <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
testGenotype="Sparc/Sparc")
result <- PhenStat:::testDataset(test,
depVariable="Lean.Mass")
# box plot for dataset with two sexes: males and females
PhenStat:::scatterplotSexGenotypeBatchResult(result,
graphingName="BMC" )
file <- system.file("extdata", "test4.csv", package="PhenStat")
test_1sex <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
testGenotype="Mysm1/+")
result_1sex <- PhenStat:::testDataset(test_1sex,
depVariable="Lean.Mass")
# box plot for females only dataset
PhenStat:::scatterplotSexGenotypeBatchResult(result_1sex,
graphingName="Lean Mass")
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