R: Parametric Time Warping

# Parametric Time Warping

## Documentation for package ‘ptw’ version 1.9-12

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

asysm | Trend estimation with asymmetric least squares
baseline.corr | Baseline Correction using asymmetric least squares
bestref | Identification of optimal reference
calc.multicoef | Calculation of warping coefficients when applying more than one warping function successively
calc.zerocoef | Correction for warping coefficients when using zeropadding
coda | Chromatogram selection using the CODA algorithm
coef.ptw | Parametric Time Warping
difsm | Smoothing with a finite difference penalty
gaschrom | 16 calibration GC traces
gaschrom.st | 16 calibration GC traces
lcms | Parts of 3 proteomic LC-MS samples
lcms.pks | Parts of 3 proteomic LC-MS samples
mz | Parts of 3 proteomic LC-MS samples
mzchannel2pktab | Conversion between peak lists from hyphenated MS (LCMS, GCMS, ...) data and input for 'stptw'.
padzeros | Pad matrix with zeros
pktab2mzchannel | Conversion between peak lists from hyphenated MS (LCMS, GCMS, ...) data and input for 'stptw'.
plot.ptw | Plot a ptw object
predict.ptw | Prediction of warped signals
print.ptw | Parametric Time Warping
print.stptw | Parametric Time Warping
ptw | Parametric Time Warping
ptwgrid | Calculate RMS or WCC values on a grid
RMS | Quality criteria for comparing patterns with shifts
select.traces | Select traces from a data set according to several criteria
stptw | Parametric Time Warping
summary.ptw | Parametric Time Warping
summary.stptw | Parametric Time Warping
time | Parts of 3 proteomic LC-MS samples
wac | Weighted auto- and cross-correlation measures
wac.st | Weighted auto- and cross-correlation measures
warp.time | Transform time according to a given warping function
WCC | Quality criteria for comparing patterns with shifts
wcc | Weighted auto- and cross-correlation measures
wcc.st | Weighted auto- and cross-correlation measures
whit1 | Weighted Whittaker smoothing with a first order finite difference penalty
whit2 | Weighted Whittaker smoothing with a second order finite difference penalty