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MetaCycle (version 1.2.0)

Evaluate Periodicity in Large Scale Data

Description

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.

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Version

Install

install.packages('MetaCycle')

Monthly Downloads

394

Version

1.2.0

License

GPL (>= 2)

Maintainer

Gang Wu

Last Published

April 18th, 2019

Functions in MetaCycle (1.2.0)

MetaCycle

MetaCycle Evaluate Periodicity in Large Scale Data
cycVignettesAMP

cycVignettesAMP
cycYeastCycle

cycYeastCycle
cycMouseLiverRNA

cycMouseLiverRNA
cycSimu4h2d

cycSimu4h2d
cycHumanBloodDesign

cycHumanBloodDesign
cycMouseLiverProtein

cycMouseLiverProtein
cycHumanBloodData

cycHumanBloodData
meta2d

Detect rhythmic signals from time-series datasets with multiple methods
meta3d

Detect rhythmic signals from time-series datasets with individual information