columnLevels: Method "columnLevels"
In PhenStat: Statistical analysis of phenotypic data
Description
Usage
Arguments
Value
Author(s)
References
Description
Method removes null values from the column and calculates column basic stat.
Returns: No of data points, No of levels, No of Genotype/Sex combinations,
No of data points for each one combination.
Usage
1
columnLevels(dataset, columnName)
Arguments
dataset
data frame created from file or from another source; mandatory argument
columnName
name of the column to check; mandatory argument
Value
Numeric vector of length 6 or 7: No of data points, No of levels, No of Genotype/Sex combinations,
No of data points for each one combination.
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.
PhenStat documentation built on Nov. 8, 2020, 8:13 p.m.
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Description Usage Arguments Value Author(s) References
Description
Method removes null values from the column and calculates column basic stat. Returns: No of data points, No of levels, No of Genotype/Sex combinations, No of data points for each one combination.
Usage
1 | columnLevels(dataset, columnName)
|
Arguments
dataset |
data frame created from file or from another source; mandatory argument |
columnName |
name of the column to check; mandatory argument |
Value
Numeric vector of length 6 or 7: No of data points, No of levels, No of Genotype/Sex combinations, No of data points for each one combination.
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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