Package: sleepr 0.3.0
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:
sleepr_0.3.0.tar.gz
sleepr_0.3.0.zip(r-4.5)sleepr_0.3.0.zip(r-4.4)sleepr_0.3.0.zip(r-4.3)
sleepr_0.3.0.tgz(r-4.4-any)sleepr_0.3.0.tgz(r-4.3-any)
sleepr_0.3.0.tar.gz(r-4.5-noble)sleepr_0.3.0.tar.gz(r-4.4-noble)
sleepr_0.3.0.tgz(r-4.4-emscripten)sleepr_0.3.0.tgz(r-4.3-emscripten)
sleepr.pdf |sleepr.html✨
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
biological-data-analysisneuroscience
Last updated 3 years agofrom:f85bbc56ac. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | NOTE | Nov 20 2024 |
R-4.5-linux | NOTE | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
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 page | Topics |
---|---|
Find "bouts" in categorical time series | bout_analysis |
Remove - irrelevant - data after individual have died | curate_dead_animals |
Motion detector for Ethocope data | max_velocity_detector max_velocity_detector_legacy motion_detectors virtual_beam_cross_detector |
Score sleep behaviour from immobility | sleep_annotation sleep_dam_annotation |