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>.

Package details

AuthorYong-Han Hank Cheng [aut, cre] (<https://orcid.org/0000-0001-7686-0697>)
MaintainerYong-Han Hank Cheng <yhhc@uw.edu>
LicenseGPL (>= 3) | file LICENSE
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("psdr")

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psdr documentation built on June 4, 2021, 9:06 a.m.