cycSimu4h2d

<p>This data set lists 20 simulated profiles(periodic and
  non-periodic) with 4h-resolution covering two periods.</p>

There are two functions-meta2d and meta3d for
detecting rhythmic signals from time-series datasets. For analyzing
time-series datasets without individual information, 'meta2d' is
suggested, which could incorporates multiple methods from ARSER,
JTK_CYCLE and Lomb-Scargle in the detection of interested rhythms. For
analyzing time-series datasets with individual information, 'meta3d' is
suggested, which takes use of any one of these three methods to analyze
time-series data individual by individual and gives out integrated values
based on analysis result of each individual.

Gang Wu

MetaCycle

Evaluate Periodicity in Large Scale Data

Ron Anafi

John Hogenesch

Michael Hughes

Karl Kornacker

Xavier Li

Matthew Carlucci

cycSimu4h2d function

<p>A dataframe containing 13 columns(column 1 = curve ID, column 2 to
  13 = time points from 0 to 44).</p>

Format

cycSimu4h2d — cycSimu4h2d

cycSimu4h2d: cycSimu4h2d

Description

Usage

Arguments

Format