Calculate the Median Absolute Deviance (MAD) of Sample Runs

Source: R/filter_objects.R

This function calculates the median absolute deviance across data for each sample run.

run_mad(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 MAD, a numeric vector giving the MAD values

Details

When calculating the MAD within a sample NA values are ignored. If all peptide abundance values are missing within a sample, the MAD is replaced by the overall mean MAD values for the data.

Author

Lisa Bramer