TFDataset: Method "TFDataset"

Description

Removes of all non-concurrent batches from the dataset. Returns dataset suitable for TF framework or original dataset if data removal was not successful.

Usage

TFDataset(phenList, depVariable, outputMessages=TRUE, forDecisionTree = FALSE)

Arguments

phenList

instance of the PhenList class; mandatory argument

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

forDecisionTree

flag: "FALSE" value for normal procedure; "TRUE" value to indicate that is called form decisionTree function; default value FALSE

Value

Returns dataset suitable for TF framework or original dataset if data removal was not successful.

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.

Examples

Run this code

    file <- system.file("extdata", "test1.csv", package="PhenStat")
    test <- PhenList(dataset=read.csv(file),
            testGenotype="Sparc/Sparc")
    test2 <- TFDataset(test,"Lean.Mass")