act_plot

<p>the ith day observation of the individual.</p>

id_Nday

act_ori

act_ind

act_all

<p>the upper limit of activity (y-axis).</p>

act_max

band

internal

Penalized Multi-Band Learning algorithm can be effectively implemented for circadian rhythm analysis and daily activity pattern characterization using actigraphy (continuously measured objective physical activity data). Functions for interactive visualization of actigraph data are also included. Method reference: Li, X., Kane, M., Zhang, Y., Sun, W., Song, Y., Dong, S., Lin, Q., Zhu, Q., Jiang, F., Zhao, H. (2019) A Novel Penalized Multi-band Learning Approach Characterizes the Consolidation of Sleep-Wake Circadian Rhythms During Early Childhood Development.

Xinyue Li

Penalized Multi-Band Learning for Circadian Rhythm Analysis
Using Actigraphy

Michael Kane

act_plot function

trelliscope auxillary function — act_plot

trelliscope auxillary function

act_plot: trelliscope auxillary function

Description

Usage

Arguments

Value