Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Robert Geitner, Robby Fritzsch, Jürgen Popp, Thomas W. Bocklitz
Title: corr2D: Implementation of Two-Dimensional Correlation Analysis in R
Abstract: In the package corr2D two-dimensional correlation analysis is implemented in R. This paper describes how two-dimensional correlation analysis is done in the package and how the mathematical equations are translated into R code. The paper features a simple tutorial with executable code for beginners, insight into the calculations done before the correlation analysis, a detailed look at the parallelization of the fast Fourier transformation based correlation analysis and a speed test of the calculation. The package corr2D offers the possibility to preprocess, correlate and postprocess spectroscopic data using exclusively the R language. Thus, corr2D is a welcome addition to the toolbox of spectroscopists and makes two-dimensional correlation analysis more accessible and transparent.

Page views:: 680. Submitted: 2016-10-27. Published: 2019-07-31.
Paper: corr2D: Implementation of Two-Dimensional Correlation Analysis in R     Download PDF (Downloads: 243)
corr2D_1.0.0.tar.gz: R source package Download (Downloads: 13; 647KB)
v90i03.R: R replication code Download (Downloads: 14; 14KB)
Speedtest-Table1.txt: Intermediate replication results Download (Downloads: 11; 880B)

DOI: 10.18637/jss.v090.i03

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.