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Analyse Biological Time-Series Data

Installation

About

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) and Zar (2010) .

Key Metrics

Version 1.2.9
R ≥ 2.10
Published 2023-03-09 421 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Lakshman Abhilash

labhilash@gc.cuny.edu

Authors

Lakshman Abhilash

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

phase archive

Depends

R ≥ 2.10

Imports

circular
lubridate
plotly
pracma
signal
zeitgebr
zoo
behavr
wesanderson
shiny
shinythemes
shinydashboard
shinycssloaders
shinyFiles