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corr2D : Implementation of Two-Dimensional Correlation Analysis in R

Title data

Geitner, Robert ; Fritzsch, Robby ; Popp, Jürgen ; Bocklitz, Thomas:
corr2D : Implementation of Two-Dimensional Correlation Analysis in R.
In: Journal of Statistical Software. Vol. 90 (2019) Issue 3 . - pp. 1-33.
ISSN 1548-7660
DOI: https://doi.org/10.18637/jss.v090.i03

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: correlation analysis; 2D correlation; spectroscopy; R; R package; corr2D
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Result of work at the UBT: No
DDC Subjects: 500 Science > 530 Physics
Date Deposited: 19 May 2023 08:01
Last Modified: 19 May 2023 08:08
URI: https://eref.uni-bayreuth.de/id/eprint/76307