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TED (version 1.0)
Turbulence time series Event Detection and classification
Description
TED performs event detection and classification in turbulence time series.
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Version
Version
1.1.1
1.0
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Install
install.packages('TED')
Monthly Downloads
30
Version
1.0
License
GPL (>= 2)
Maintainer
Yanfei Kang
Last Published
May 10th, 2014
Functions in TED (1.0)
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cbfs_red
Generate an artificial event with red noise
aniplotevents
Generate a gif to visualise the event detection process
eventExtraction
Extract events from time series
measures
Calculate statistical characteristics of an event
cbfs
Generate an artificial event with white noise
plotevents
Plot the detected events
detrendc
Conditionally detrend a time series
ur.za.fast
Unit root test for events considering a structrual break
eventCluster
Cluster detected events
ted-package
Detect and classify events from turbulence time series
noiseTests
Perform noise tests for a time series
eventDetection
Detect events from time series
ts2mat
Reshape a vector into a matrix
CASES99
One day of 1-s averages of the thermocouple temperature data from CASES-99 dataset