psdr: Use Time Series to Generate and Compare Power Spectral Density

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>.

Version: 1.0.1
Imports: devtools (≥ 2.4.1), ggplot2 (≥ 3.3.2), qpdf (≥ 1.1), stats (≥ 4.0.2)
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2021-06-04
Author: Yong-Han Hank Cheng ORCID iD [aut, cre]
Maintainer: Yong-Han Hank Cheng <yhhc at uw.edu>
License: GPL (≥ 3) | file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: psdr results

Downloads:

Reference manual: psdr.pdf
Vignettes: Examples
Introduction
Package source: psdr_1.0.1.tar.gz
Windows binaries: r-devel: psdr_1.0.1.zip, r-release: psdr_1.0.1.zip, r-oldrel: psdr_1.0.1.zip
macOS binaries: r-release (arm64): psdr_1.0.1.tgz, r-release (x86_64): psdr_1.0.1.tgz, r-oldrel: psdr_1.0.1.tgz

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