ActCosinor_long2: Cosinor Model for Circadian Rhythmicity for the Whole Dataset

In postGGIR: Data Processing after Running 'GGIR' for Accelerometer Data

Description

A parametric approach to study circadian rhythmicity assuming cosinor shape.This function is a whole dataset wrapper for ActCosinor.

Usage

ActCosinor_long2(count.data, window = 1)

Arguments

count.data	data.frame of dimension n * (p+2) containing the p dimensional activity data for all n subject days. The first two columns have to be ID and Day. ID can be either character or numeric. Day has to be numeric indicating the sequence of days within each subject.
window	The calculation needs the window size of the data. E.g window = 1 means each epoch is in one-minute window.

Value

A data.frame with the following 5 columns

ID	ID
ndays	number of days
mes	MESRO, which is short for midline statistics of rhythm, which is a rhythm adjusted mean. This represents mean activity level.
amp	amplitude, a measure of half the extend of predictable variation within a cycle. This represents the highest activity one can achieve.
acro	acrophase, a meaure of the time of the overall high values recurring in each cycle. Here it has a unit of radian. This represents time to reach the peak.
acrotime	acrophase in the unit of the time (hours)
ndays	Number of days modeled

postGGIR documentation built on Jan. 6, 2022, 5:08 p.m.