MSstatsBalancedDesign {MSstatsConvert} | R Documentation |
Creates balanced design by removing overlapping fractions and filling incomplete rows
MSstatsBalancedDesign( input, feature_columns, fill_incomplete = TRUE, handle_fractions = TRUE, fix_missing = NULL )
input |
|
feature_columns |
str, names of columns that define spectral features |
fill_incomplete |
if TRUE (default), Intensity values for missing runs will be added as NA |
handle_fractions |
if TRUE (default), overlapping fractions will be resolved |
fix_missing |
str, optional. Defaults to NULL, which means no action. If not NULL, must be one of the options: "zero_to_na" or "na_to_zero". If "zero_to_na", Intensity values equal exactly to 0 will be converted to NA. If "na_to_zero", missing values will be replaced by zeros. |
data.frame of class MSstatsValidated
unbalanced_data = system.file("tinytest/raw_data/unbalanced_data.csv", package = "MSstatsConvert") unbalanced_data = data.table::as.data.table(read.csv(unbalanced_data)) balanced = MSstatsBalancedDesign(unbalanced_data, c("PeptideSequence", "PrecursorCharge", "FragmentIon", "ProductCharge")) dim(balanced) # Now balanced has additional rows (with Intensity = NA) # for runs that were not included in the unbalanced_data table