Description Usage Arguments Value Author(s) References See Also Examples
Checks the dependent variable and dataset to make choose the appropriate statistical method. Returns the method or the list of methods that are appropriate for statistical analysis.
1 2 3 4 | recommendMethod(phenList = NULL,
depVariable = NULL,
outputMessages = TRUE,
upper = 5)
|
phenList |
instance of the |
depVariable |
a character string defining the dependent variable of interest; mandatory argument |
outputMessages |
flag: "FALSE" value to suppress output messages; "TRUE" value to show output messages; default value TRUE |
upper |
Single integer: maximum allowed number of levels for the Batch in the TF framework |
Returns the method or the list of methods that are appropriate for statistical analysis.
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 | file <- system.file("extdata", "test1.csv", package="PhenStat")
test <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
testGenotype="Sparc/Sparc")
PhenStat:::recommendMethod(test,"Lean.Mass")
|
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