The streamlining function the combines all data manipulation and estimation functions into one
bl()
Baseline Correction
cali()
Chemical Shift Calibration
preproc()
Streamlined 1D NMR Preprocessing
read_in()
Import 1D NMR spectra
The functions used in preproc() to maninpulate the spectra
binin()
Spectral data binning
flip()
Flip the Spectra
Functions used to estimate properties and regions of the spectra
get_idx()
Get Index
lw()
Full Width at Half-Maximum
noise()
Maximum Noise Estimation
shift_pickr()
Peak-Picking
Normalises spectra in relation to a reference
hmNorm()
Histogram Matching
pqNorm()
Probabilistic Quotient Normalisation
q2Norm()
Quantile/PQN Normalisation
xfNorm()
Normalisation based on an External Factor
Normalises spectra based on an attribute they share (i.e., a specific peak or area of the spectra)
creNorm()
Creatinine Normalisation
q1Norm()
Quantile Normalisation
roiNorm()
Region of Interest Normalisation
taNorm()
Total Area Normalisation
vecNorm()
Vector Length Normalisation