phase: Analyse Biological Time-Series Data

Compiles functions to trim, bin, visualise, and analyse activity/sleep time-series data collected from the Drosophila Activity Monitor (DAM) system (Trikinetics, USA). The following methods were used to compute periodograms - Chi-square periodogram: Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram: Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554> and Ruf (1999) <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation: Eijzenbach et al. (1986) <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of activity peaks is done after using a Savitzky-Golay filter (Savitzky and Golay (1964) <doi:10.1021/ac60214a047>) to smooth raw activity data. Three methods to estimate anticipation of activity are used based on the following papers - Slope method: Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>, Harrisingh method: Harrisingh et al. (2007) <doi:10.1523/JNEUROSCI.3680-07.2007>, and Stoleru method: Stoleru et al. (2004) <doi:10.1038/nature02926>. Rose plots and circular analysis are based on methods from - Batschelet (1981) <ISBN:0120810506> and Zar (2010) <ISBN:0321656865>.

Version: 1.2.1
Depends: R (≥ 2.10)
Imports: circular, lubridate, plotly, pracma, signal, zeitgebr, zoo, behavr
Published: 2021-08-16
Author: Lakshman Abhilash ORCID iD [aut, cre]
Maintainer: Lakshman Abhilash <labhilash at gc.cuny.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: phase results

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Reference manual: phase.pdf
Package source: phase_1.2.1.tar.gz
Windows binaries: r-devel: phase_1.2.1.zip, r-release: phase_1.2.1.zip, r-oldrel: phase_1.2.1.zip
macOS binaries: r-release (arm64): phase_1.2.1.tgz, r-release (x86_64): phase_1.2.1.tgz, r-oldrel: phase_1.2.1.tgz
Old sources: phase archive

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