vectorOutputMatrices {PhenStat} | R Documentation

## Method "vectorOutputMatrices"

### Description

Returns count matrices from Fisher Exact Test framework in a vector form.

Note: Maximal supported number of dependent variable levels is 10.

### Usage

        vectorOutputMatrices(phenTestResult,outputMessages=TRUE)

### Arguments

`phenTestResult` | instance of the `PhenTestResult` class that comes from the function `testDataset`; mandatory argument
`outputMessages` | flag: "FALSE" value to suppress output messages; "TRUE" value to show output messages; default value TRUE

### Value

Returns a vector with count values.

### 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

`PhenTestResult`

### Examples

        file <- system.file("extdata", "test_categorical.csv", package="PhenStat")
        test <- PhenStat:::PhenList(dataset=read.csv(file,na.strings = '-'),
                testGenotype="Aff3/Aff3")
        result <- PhenStat:::testDataset(test,
                depVariable="Thoracic.Processes",
                method="FE")
        PhenStat:::vectorOutputMatrices(result)

[Package PhenStat version 2.18.0 Index]