sbcWrapper: Signal batch correction wrapper function

In computational-metabolomics/sbcms: Signal batch correction for (LC)-MS data

Description

Signal batch correction wrapper function

Usage

sbcWrapper(id, qcData, order, qcBatch, qcOrder, log = log, spar = spar,
  batch = batch, minQC)

Arguments

id	Feature id.
qcData	Data frame with QC samples.
order	A numeric vector indicating the order in which samples were measured.
qcBatch	QC batch numbers.
qcOrder	QC measurement order.
log	TRUE or FALSE to perform the signal correction fit on the log scaled data. Default is TRUE.
spar	Spline smoothing parameter. Should be in the range 0 to 1. If set to 0 it will be estimated using leave-one-out cross-validation.
batch	A vector indicating the batch each sample was measured in. If only one batch was measured then all values should be set to 1.
minQC	Minimum number of QC samples required for signal correction.

Value

vector of corrected values of selected feature for QC data

computational-metabolomics/sbcms documentation built on June 17, 2021, 12:22 a.m.