preprocess_phenotypes: Cleans a phenotypes dataframe, tlhis is a helper function for...
In pujana-lab/systematicBNR: Set of tools defined to run systematically linear regressions with output variable normalized using bestNormalize functions

Removes samples with at leas one NA value and phenotypes where all values describe the same values.

1	preprocess_phenotypes(phenotypes, samples_colname, phenotypes_to_include)

`phenotypes`	data_frame with at least a samples column and some phenotype columns to be included.
`samples_colname`	string Column with the samples data.
`phenotypes_to_include`	String list with the list of phenotypes which should be included.

DataFrame Rownames are the sample ids (of sample_colnames) and content contains the included phenotypes.

pujana-lab/systematicBNR documentation built on June 15, 2020, 12:44 p.m.

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