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spectral  

Common Methods of Spectral Data Analysis
View on CRAN: Click here


Download and install spectral package within the R console
Install from CRAN:
install.packages("spectral")

Install from Github:
library("remotes")
install_github("cran/spectral")

Install by package version:
library("remotes")
install_version("spectral", "2.0")



Attach the package and use:
library("spectral")
Maintained by
Martin Seilmayer
[Scholar Profile | Author Map]
First Published: 2016-09-13
Latest Update: 2021-03-29
Description:
On discrete data spectral analysis is performed by Fourier and Hilbert transforms as well as with model based analysis called Lomb-Scargle method. Fragmented and irregularly spaced data can be processed in almost all methods. Both, FFT as well as LOMB methods take multivariate data and return standardized PSD. For didactic reasons an analytical approach for deconvolution of noise spectra and sampling function is provided. A user friendly interface helps to interpret the results.
How to cite:
Martin Seilmayer (2016). spectral: Common Methods of Spectral Data Analysis. R package version 2.0, https://cran.r-project.org/web/packages/spectral. Accessed 21 Apr. 2025.
Previous versions and publish date:
1.0.1 (2016-09-15 15:46), 1.0 (2016-09-13 11:45), 1.3 (2019-06-03 13:30)
Other packages that cited spectral R package
View spectral citation profile
Other R packages that spectral depends, imports, suggests or enhances
Complete documentation for spectral
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