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corr2D - Implementation of Two-Dimensional Correlation Analysis in R

Computation 2022-01-11 v1

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 at 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.

Keywords

Cite

@article{arxiv.1808.00685,
  title  = {corr2D - Implementation of Two-Dimensional Correlation Analysis in R},
  author = {Robert Geitner and Robby Fritzsch and Jürgen Popp and Thomas W. Bocklitz},
  journal= {arXiv preprint arXiv:1808.00685},
  year   = {2022}
}
R2 v1 2026-06-23T03:22:28.778Z