Learn R Programming
⚠️There's a newer version (1.9-16) of this package.Take me there.

ptw (version 1.0-7)

Parametric Time Warping

Description

Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).

Copy Link

Version

Install

install.packages('ptw')

Monthly Downloads

810

Version

1.0-7

License

GPL (>= 2)

Maintainer

Tom Bloemberg Ron Wehrens rwehrenssciencerunl

Last Published

March 29th, 2014

Functions in ptw (1.0-7)

ptwgrid

Calculate RMS or WCC values on a grid
bestref

Identification of optimal reference
interpol

Linear interpolation
coda

Chromatogram selection using the CODA algorithm
lcms

Parts of 3 proteomic LC-MS samples
calc.zerocoef

Correction for warping coefficients when using zeropadding
asysm

Trend estimation with asymmetric least squares
gaschrom

16 calibration GC traces
padzeros

Pad matrix with zeros
baseline.corr

Baseline Correction using asymmetric least squares
predict.ptw

Prediction of warped signals
select.traces

Select traces from a data set according to several criteria
ptw

Parametric Time Warping
calc.multicoef

Calculation of warping coefficients when applying more than one warping function successively
plot.ptw

Plot a ptw object
whit1

Weighted Whittaker smoothing with a first order finite difference penalty
RMS

Quality criteria for comparing patterns with shifts
wcc

Weighted auto- and cross-correlation measures
difsm

Smoothing with a finite difference penalty
whit2

Weighted Whittaker smoothing with a second order finite difference penalty