columnChecks {PhenStat} | R Documentation

## Method "columnChecks"

### Description

Checks the particular column of the dataset for eligibility. Returns: presence of column, all data are numeric, number of levels that passed check (number of data points for each genotype/sex combination is at least equals to threshold).

### Usage

        columnChecks(dataset,
    				columnName,
    				dataPointsThreshold=4)

### Arguments

`dataset` | data frame created from file or from another source; mandatory argument
`columnName` | name of the column to check; mandatory argument
`dataPointsThreshold` | number of data points for each genotype/sex combination; default value is set to 4

### Value

Boolean vector of length 3: presence of column, all data are numeric, number of levels that passed check (number of data points for each genotype/sex combination is at least equals to threshold).

### 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.

[Package PhenStat version 2.18.0 Index]