Corr2d: Implementation of two-dimensional correlation analysis in R
Geitner R, Fritzsch R, Popp J, Bocklitz TW (2019)
Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 90
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 spectro-scopists and makes two-dimensional correlation analysis more accessible and transparent.
Involved external institutions
Germany (DE)How to cite
APA:
Geitner, R., Fritzsch, R., Popp, J., & Bocklitz, T.W. (2019). Corr2d: Implementation of two-dimensional correlation analysis in R. Journal of Statistical Software, 90. https://doi.org/10.18637/jss.v090.i03
MLA:
Geitner, Robert, et al. "Corr2d: Implementation of two-dimensional correlation analysis in R." Journal of Statistical Software 90 (2019).
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