zeitgebr v0.3.5
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Analysis of Circadian Behaviours
Use behavioural variables to compute period, rhythmicity and other circadian parameters.
Methods include computation of chi square periodograms (Sokolove and Bushell (1978) <DOI:10.1016/0022-5193(78)90022-X>),
Lomb-Scargle periodograms (Lomb (1976) <DOI:10.1007/BF00648343>, Scargle (1982) <DOI:10.1086/160554>, Ruf (1999) <DOI:10.1076/brhm.30.2.178.1422>),
and autocorrelation-based periodograms.
Readme
zeitgebr



zeitgebr is part of the rethomics framework.
This README is a short explanation of the basics of zeitgebr.
A comprehensive tutorial is available on the rethomics webpage.
We also provide a conventional pdf documentation.
Installation
library(devtools)
install_github("rethomics/zeitgebr")
Functions in zeitgebr
| Name | Description | |
| spectrogram | Computes spectrogram | |
| find_peaks | Find peaks in a periodogram | |
| periodogram | Computes periodograms | |
| cwt_spectrogram | Computes a spectrogram using CWT | |
| dams_sample | A behavr table with approximately ten days of DAM2 recording for 32 fruit flies. The first 10, the following 11 and the last 11 animals have long, short and wild type period, respectively (see meta(dams_sample)). | |
| periodogram_methods | Methods For Computing Periodograms | |
| No Results! | ||
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Details
| Date | 2020-04-22 |
| License | GPL-3 |
| Encoding | UTF-8 |
| LazyData | true |
| URL | https://github.com/rethomics/zeitgebr |
| BugReports | https://github.com/rethomics/zeitgebr/issues |
| RoxygenNote | 6.1.1 |
| NeedsCompilation | no |
| Packaged | 2020-04-24 00:54:58 UTC; quentin |
| Repository | CRAN |
| Date/Publication | 2020-04-25 14:50:03 UTC |
| depends | behavr , R (>= 3.00) |
| suggests | covr , damr , ggetho , knitr , testthat , xsp |
| imports | data.table , lomb , pracma , WaveletComp |
| Contributors | Luis Garcia |
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