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Apply imputation to the dataset by the minimum measured value for that protein in that condition.

Usage

impute.min_local(dataSet, reportImputing = FALSE, reqPercentPresent = 0.51)

Arguments

dataSet

The 2d dataset of experimental values.

reportImputing

A boolean (default = FALSE) specifying whether to provide a shadow data frame with imputed data labels, where 1 indicates the corresponding entries have been imputed, and 0 indicates otherwise. Alters the return structure.

reqPercentPresent

A scalar (default = 0.51) specifying the required percent of values that must be present in a given protein by condition combination for values to be imputed.

Value

  • If reportImputing = FALSE, the function returns the imputed 2d dataframe.

  • If reportImputing = TRUE, the function returns a list of the imputed 2d dataframe and a shadow matrix showing which proteins by replicate were imputed.