Calculate the Skewness of Sample Runs

Source: R/filter_objects.R

This function calculates the skewness across data for each sample run.

run_skewness(data_only)

Arguments

data_only

a \(p \times n\) data.frame, where \(p\) is the number of peptides and \(n\) is the number of samples.

Value

data.frame with two elements: Sample, a character vector giving the sample names; and Skewness, a numeric vector giving the skewness values

Details

Skewness is calculated as a bias-corrected calculation given by method 2 in the e1071 package. Within a sample NA values are ignorned in the skewness calculation. If all peptide abundance values are missing within a sample, the skewness is replaced by the overall mean of nonmissing skewness values for the data.

Author

Lisa Bramer