Package: sleepr 0.3.0

Quentin Geissmann

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.

Authors:Quentin Geissmann [aut, cre]

sleepr_0.3.0.tar.gz
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sleepr_0.3.0.tgz(r-4.6-any)sleepr_0.3.0.tgz(r-4.5-any)
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sleepr_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sleepr/json (API)

# Install 'sleepr' in R:
install.packages('sleepr', repos = c('https://rethomics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rethomics/sleepr/issues

On CRAN:

Conda:

biological-data-analysisneuroscience

4.42 score 6 stars 87 scripts 332 downloads 1 mentions 7 exports 2 dependencies

Last updated from:f85bbc56ac. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE125
source / vignettesOK169
linux-release-x86_64NOTE117
macos-release-arm64NOTE129
macos-oldrel-arm64NOTE94
windows-develNOTE70
windows-releaseNOTE68
windows-oldrelNOTE74
wasm-releaseOK108

Exports:bout_analysiscurate_dead_animalsmax_velocity_detectormax_velocity_detector_legacysleep_annotationsleep_dam_annotationvirtual_beam_cross_detector

Dependencies:behavrdata.table

Readme and manuals

Help Manual

Help pageTopics
Find "bouts" in categorical time seriesbout_analysis
Remove - irrelevant - data after individual have diedcurate_dead_animals
Motion detector for Ethocope datamax_velocity_detector max_velocity_detector_legacy motion_detectors virtual_beam_cross_detector
Score sleep behaviour from immobilitysleep_annotation sleep_dam_annotation