Use Time Series to Generate and Compare Power Spectral Density R package psdr version 1.0.3 Functions that allow you to generate and compare power spectral density (PSD) plots given time series data. Fast Fourier Transform (FFT) is used to take a time series data, analyze the oscillations, and then output the frequencies of these oscillations in the time series in the form of a PSD plot.Thus given a time series, the dominant frequencies in the time series can be identified. Additional functions in this package allow the dominant frequencies of multiple groups of time series to be compared with each other. To see example usage with the main functions of this package, please visit this site: <https://yhhc2.github.io/psdr/articles/Introduction.html>. The mathematical operations used to generate the PSDs are described in these sites: <https://www.mathworks.com/help/matlab/ref/fft.html>. <https://www.mathworks.com/help/signal/ug/power-spectral-density-estimates-using-fft.html>. Software Imports: ggplot2 (>= 3.3.2), stats (>= 4.0.2) Suggests: rmarkdown, knitr, testthat (>= 3.0.0), devtools (>= 2.4.1), qpdf Yong-Han Hank Cheng <yhhc@uw.edu> Comprehensive R Archive Network (CRAN) Yong-Han Hank Cheng [aut, cre] (ORCID: <https://orcid.org/0000-0001-7686-0697>) GPL (>= 3) file LICENSE (https://CRAN.R-project.org/package=psdr/LICENSE) 2025-09-07 application/tgz https://CRAN.R-project.org/package=psdr doi:10.32614/CRAN.package.psdr