dams_sample

<p>A behavr table with approximately ten days of DAM2 recording for 32 fruit flies.
The first 10, the following 11 and the last 11 animals have long, short and wild type period,
respectively (see <code>meta(dams_sample)</code>).</p>

datasets

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.

Quentin Geissmann

zeitgebr

Analysis of Circadian Behaviours

Luis Garcia

dams_sample function

<p>An object of class <code>behavr</code> (inherits from <code>data.table</code>, <code>data.frame</code>) with 415040 rows and 3 columns.</p>

Format

A behavr table with approximately ten days of DAM2 recording for 32 fruit flies.
The first 10, the following 11 and the last 11 animals have long, short and wild type period,
respectively (see <code>meta(dams_sample)</code>). — dams_sample

A behavr table with approximately ten days of DAM2 recording for 32 fruit flies.
The first 10, the following 11 and the last 11 animals have long, short and wild type period,
respectively (see <code>meta(dams_sample)</code>).

dams_sample: A behavr table with approximately ten days of DAM2 recording for 32 fruit flies. The first 10, the following 11 and the last 11 animals have long, short and wild type period, respectively (see `meta(dams_sample)`).

Description

Usage

Arguments

Format

References