Analyse Biological Time-Series Data R package phase version 1.2.9 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>. Software Depends: R (>= 2.10) Imports: circular, lubridate, plotly, pracma, signal, zeitgebr, zoo, behavr, wesanderson, shiny, shinythemes, shinydashboard, shinycssloaders, shinyFiles Lakshman Abhilash <labhilash@gc.cuny.edu> Comprehensive R Archive Network (CRAN) Lakshman Abhilash [aut, cre] (ORCID: <https://orcid.org/0000-0002-9933-8989>) MIT + file LICENSE (https://CRAN.R-project.org/package=phase/LICENSE) 2023-03-09 application/tgz https://CRAN.R-project.org/package=phase doi:10.32614/CRAN.package.phase