Difference between revisions of "Orange: Correlogram"

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Visualize variables’ auto-correlation.
 
Visualize variables’ auto-correlation.
  
Inputs
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==Input==
  
 
     Time series: Time series as output by As Timeseries widget.
 
     Time series: Time series as output by As Timeseries widget.
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[[File:Correlogram-stamped.png|center|200px|thumb]]
 
[[File:Correlogram-stamped.png|center|200px|thumb]]
  
    Select the series to calculate autocorrelation for.
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* Select the series to calculate autocorrelation for.
    See the autocorrelation coefficients.
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* See the autocorrelation coefficients.
    Choose to calculate the coefficients using partial autocorrelation function (PACF) instead.
+
* Choose to calculate the coefficients using partial autocorrelation function (PACF) instead.
    Choose to plot the 95% significance interval (dotted horizontal line). Coefficients that are outside of this interval might be significant.
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* Choose to plot the 95% significance interval (dotted horizontal line). Coefficients that are outside of this interval might be significant.
  
 
==See also==
 
==See also==

Revision as of 06:23, 30 January 2020

Sumber: https://orange.biolab.si/widget-catalog/time-series/correlogram/

Visualize variables’ auto-correlation.

Input

   Time series: Time series as output by As Timeseries widget.

In this widget, you can visualize the autocorrelation coefficients for the selected time series.

Correlogram-stamped.png
  • Select the series to calculate autocorrelation for.
  • See the autocorrelation coefficients.
  • Choose to calculate the coefficients using partial autocorrelation function (PACF) instead.
  • Choose to plot the 95% significance interval (dotted horizontal line). Coefficients that are outside of this interval might be significant.

See also

Periodogram


Referensi

Pranala Menarik