behavr - Canonical Data Structure for Behavioural Data

Implements an S3 class based on 'data.table' to store and process efficiently ethomics (high-throughput behavioural) data.

Last updated 3 years ago

biological-data-analysisdata-structuresethomics

5.77 score 6 stars 5 packages 65 scripts 655 downloads

zeitgebr - 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.

Last updated 8 months ago

5.12 score 11 stars 1 packages 40 scripts 392 downloads

ggetho - Visualisation of High-Throughput Behavioural (i.e. Ethomics) Data

Extension of 'ggplot2' providing layers, scales and preprocessing functions useful to represent behavioural variables that are recorded over multiple animals and days. This package is part of the 'rethomics' framework <https://rethomics.github.io/>.

Last updated 2 years ago

biological-data-analysisggplot2visualization

4.45 score 8 stars 70 scripts 561 downloads

damr - Interface to Drosophila Activity Monitor System Result Files

Loads behavioural data from the widely used Drosophila Activity Monitor System (DAMS, TriKinetics <https://trikinetics.com/>) into the rethomics framework.

Last updated 8 months ago

biological-data-analysisparsing

4.40 score 6 stars 28 scripts 380 downloads

sleepr - Analyse Activity and Sleep Behaviour

Use behavioural variables to score activity and infer sleep from bouts of immobility. It is primarily designed to score sleep in fruit flies from Drosophila Activity Monitor (TriKinetics) and Ethoscope data. It implements sleep scoring using the "five-minute rule" (Hendricks et al. (2000) <DOI:10.1016/S0896-6273(00)80877-6>), activity classification for Ethoscopes (Geissmann et al. (2017) <DOI:10.1371/journal.pbio.2003026>) and a new algorithm to detect when animals are dead.

Last updated 3 years ago

biological-data-analysisneuroscience

4.26 score 6 stars 61 scripts 256 downloads