Log information about converter options

.logConverterOptions(
  feature_columns,
  remove_shared_peptides,
  remove_single_feature_proteins,
  feature_cleaning,
  is_tmt = FALSE
)

Arguments

feature_columns	character vector of names of columns that define spectral features.
remove_shared_peptides	logical, if TRUE shared peptides will be removed.
remove_single_feature_proteins	logical, if TRUE, proteins that only have one feature will be removed.
feature_cleaning	named list with maximum two (for `MSstats` converters) or three (for `MSstatsTMT` converter) elements. If `handle_few_measurements` is set to "remove", feature with less than three measurements will be removed (otherwise it should be equal to "keep"). `summarize_multiple_psms` is a function that will be used to aggregate multiple feature measurements in a run. It should return a scalar and accept an `na.rm` parameter. For `MSstatsTMT` converters, setting `remove_psms_with_any_missing` will remove features which have missing values in a run from that run.
is_tmt	If TRUE, the dataset comes from a TMT experiment

TRUE invisibly if message was logged