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). Both warping of peak profiles and of peak lists are supported.
|Author||Jan Gerretzen <email@example.com>, Paul Eilers <firstname.lastname@example.org>, Hans Wouters, Tom Bloemberg <email@example.com>, Ron Wehrens <firstname.lastname@example.org>|
|Date of publication||2017-03-06 11:28:52|
|Maintainer||Ron Wehrens <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.