Learn R Programming

⚠️There's a newer version (2.0) of this package.Take me there.

spectral (version 1.3)

Common Methods of Spectral Data Analysis

Description

Fourier and Hilbert transforms are utilized to perform several types of spectral analysis on the supplied data. Fragmented and irregularly spaced data can be processed in terms of Lomb-Scargle method. Both, FFT as well as LOMB methods take multivariate data. A user friendly interface helps to interpret the results.

Copy Link

Version

Install

install.packages('spectral')

Monthly Downloads

289

Version

1.3

License

GPL-2

Maintainer

Martin Seilmayer

Last Published

June 3rd, 2019

Functions in spectral (1.3)

Simple bandpass function

The Hilbert-transformation

analyticFunction

Analytic function

interpolate.fft

interpolates data using the Fourier back transform

Windowfunctions

Windowfunctions

Calculates the envelope of a band limited signal

Lomb-Scargle estimation function

Filter and reconstruction of data analysed via spec.lomb

generalized Lomb-Scargle estimation function

1D/2D/nD (multivariate) spectrum of the Fourier transform

Lomb-Scargle Periodigram

Plot fft-objects

plot method for Lomb-Scargle periodograms

Filter in the frequency domain

Cosine window function

Estimate the local frequencies

Tukey window function