recommendMethod {PhenStat} | R Documentation

## Method "recommendMethod"

### Description

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.

### Usage

        recommendMethod(phenList   = NULL,
                    depVariable    = NULL,
                    outputMessages = TRUE,
                    upper          = 5)

### 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
`upper` | Single integer: maximum allowed number of levels for the Batch in the TF framework

### Value

Returns the method or the list of methods that are appropriate for statistical analysis.

### 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 <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
                testGenotype="Sparc/Sparc")
        PhenStat:::recommendMethod(test,"Lean.Mass")

[Package PhenStat version 2.26.0 Index]