apply.inverse.normalization: Apply inverse normalization to selected columns of a data...
In NCI-CGR/construct.model.matrix: Construct Model Matrix for `plco-analysis`

Description Usage Arguments

View source: R/inverse.normalization.R

This function takes a data frame, constructed of model matrix data from a phenotype dataset, and applies the inverse normal transformation to each column matching a certain set of provided conditions. The variables are stratified by sex before application of the transformation. An extension here would be to allow arbitrary stratification variables before transformation.

1	apply.inverse.normalization(df, conditions)

`df`	data.frame, source data frame containing model matrix data to be transformed
`conditions`	list of logical vectors. each vector should be of length `ncol(df)`, and should indicate whether a column passes a particular criterion for being included in the transformed set. each vector is effectively logically ORed together.