# Peak Matrix Processing and signal batch correction for metabolomics datasets

## Documentation for package ‘pmp’ version 1.25.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

filter_peaks_by_blank | Filter features by blank samples
filter_peaks_by_fraction | Filter features by fraction of missing values
filter_peaks_by_rsd | Filter features by RSD% of QC samples
filter_samples_by_mv | Filter samples by missing values
glog_plot_optimised_lambda | Plot SSE error of lambda optimisation process
glog_transformation | Variance stabilising generalised logarithm (glog) transformation
MTBLS79 | Direct-infusion mass spectrometry (DIMS) data set
mv_imputation | Missing value imputation using different algorithms
normalise_to_sum | Normalisation by total sum of the features per sample
pqn_normalisation | Probabilistic quotient normalisation (PQN)
processing_history | Return history of applied functions and argument from pmp package.
QCRSC | Quality Control-Robust Spline Correction (QC-RSC)
remove_peaks | Remove features from peak intensity matrix
sbc_plot | Plot QCRSC corrected outputs