qcrlscR-package {qcrlscR}R Documentation

qcrlscR: Quality Control–based Robust LOESS Signal Correction

Description

qcrlscR implements quality control–based robust LOESS signal correction for metabolomics data analysis.

Main functions

The qcrlscR provides functions for metabolomics data signal correction. It allows users to optimise span for LOESS in the range of 0.05 and 0.95. This package also provides simple functions for missing value filtering. If the data set used for signal correction has large portion of missing values, users need to filter the data based on percentage of missing values. A straightforward batch shifting function is provided for batch elimination if the batch effects are still present after QC-SLRC process. User can use other R packages's PCA plot (un-supervised) or PLS and LDA plots (supervised) to assess the goodness of signal correction.

Package context

This package does not use "tidyverse" and only uses basic R for simplicity and easy maintenance. A vignette (in R and PDF format) is located in ⁠\qcrlsc\examples⁠.

Author(s)

Maintainer: Wanchang Lin wanchanglin@hotmail.com

Authors:

See Also

Useful links:


[Package qcrlscR version 0.1.3 Index]