ActCosinor_long2 {mMARCH.AC}

Cosinor Model for Circadian Rhythmicity for the Whole Dataset

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, daylevel = FALSE)

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

numeric The calculation needs the window size of the data. E.g window = 1 means each epoch is in one-minute window.

daylevel

logical If the cosinor model was run for day-level data. The default value is FALSE while the activity data for all days were used for model fitting. When the value is TRUE, the single day data were used for model fitting.

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