Difference between revisions of "Orange: Correlogram"

From OnnoWiki
Jump to navigation Jump to search
(Created page with "Sumber: https://orange.biolab.si/widget-catalog/time-series/correlogram/ Visualize variables’ auto-correlation. Inputs Time series: Time series as output by As Timese...")
 
 
(3 intermediate revisions by the same user not shown)
Line 1: Line 1:
 
Sumber: https://orange.biolab.si/widget-catalog/time-series/correlogram/
 
Sumber: https://orange.biolab.si/widget-catalog/time-series/correlogram/
  
Visualize variables’ auto-correlation.
 
  
Inputs
+
Widget Correlogram dapat memvisualisasi auto-correlation pada variable.
 +
 
 +
==Input==
  
 
     Time series: Time series as output by As Timeseries widget.
 
     Time series: Time series as output by As Timeseries widget.
  
In this widget, you can visualize the autocorrelation coefficients for the selected time series.
+
Pada widget Correlogram, kita akan mem-visualisasi koefisien autocorrelation untuk time series yang kita pilih.
 +
 
 +
[[File:Correlogram-stamped.png|center|200px|thumb]]
  
    Select the series to calculate autocorrelation for.
+
* Select the series to calculate autocorrelation for.
    See the autocorrelation coefficients.
+
* 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.
+
* Choose to plot the 95% significance interval (dotted horizontal line). Coefficients that are outside of this interval might be significant.
  
See also
+
==See also==
  
 
Periodogram
 
Periodogram

Latest revision as of 11:32, 17 March 2020

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


Widget Correlogram dapat memvisualisasi auto-correlation pada variable.

Input

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

Pada widget Correlogram, kita akan mem-visualisasi koefisien autocorrelation untuk time series yang kita pilih.

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