find_good_features: find_good_features

In cbroeckl/RAMClustR: Mass Spectrometry Metabolomics Feature Clustering and Interpretation

find_good_features

Description

find 'good' features, acceptable CV at either MS or MSMS level results in keeping

Usage

find_good_features(ramclustObj, do.sets, max.cv, qc)

Arguments

ramclustObj	ramclustObj containing MSdata with optional MSMSdata (MSe, DIA, idMSMS)
do.sets	select data frame to use.
max.cv	numeric maximum allowable cv for any feature. default = 0.5
qc	QC samples found by define_samples

Value

ramclustR object

features to keep

cbroeckl/RAMClustR documentation built on March 23, 2024, 6:45 p.m.