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Moving averages / Moving median etc

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Moving averages / Moving median etc

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09 Aug 2005 (Updated )

Calculates moving averages (or median/fun) of a timeseries.

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Description

MOVING will compute moving averages of order n (best taken as odd)
 
 Usage: y=moving(x,n[,fun])
 where x is the input vector (or matrix) to be smoothed.
       m is number of points to average over (best odd, but even works)
       y is output vector of same length as x
       fun (optional) is a custom function rather than moving averages
 
  Note:if x is a matrix then the smoothing will be done 'vertically'.
  
 
  Example:
 
  x=randn(300,1);
  plot(x,'g.');
  hold on;
  plot(moving(x,7),'k');
  plot(moving(x,7,'median'),'r');
  plot(moving(x,7,@(x)max(x)),'b');
  legend('x','7pt moving mean','7pt moving median','7pt moving max','location','best')

Acknowledgements

This file inspired Nth Octave Frequency Bands, Nth Octave Test Signal, Nth Oct Hand Arm & Ac Filter Tool Box, Continuous Sound And Vibration Analysis, and Calibrated Spectral Analysis.

MATLAB release MATLAB 7 (R14)
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Comments and Ratings (27)
23 Apr 2014 Mariangel

MatlabR2002b does not have smooth function so this one helps a lot!! thanks!!

20 Mar 2014 dydy m

I tried similar to this script for other data, but error found :
??? Undefined function or method 'moving' for input arguments of type 'double'. How do I change type of data?

10 Oct 2013 Juan

Works perfectly. Thank You!

03 Oct 2013 Bartek Luks  
03 Aug 2013 Chad Greene

Works great.

24 Apr 2013 Codrut Dan  
25 Jan 2013 maysam

super

25 Jan 2013 maysam

thanks. It works very well. super.

09 Oct 2012 Freddy Mendoza

Works genial, thank you for sharing!!

06 Oct 2012 Evan

Slow!
At first, tests show that this function is faster than Matlab's "tsmovavg" function. But when you look at the result of this function, the output series needs to be moved by "floor( m /2 )". When this is taken into consideration, the entire function becomes much slower than Matlab's default function.

In addition, Matlab's tsmovavg function also takes the averages of multiple series simultaneously (matrices of m series X N data points)

The above was tested for "simple" moving averages.

18 Jun 2012 Mar

This works great! It turns out I also need standard deviation's for the averages. Is it possible to easily modify your code to include this? or do you have any recommendations? Thank you so much!

09 Jun 2012 hussen

Hi

I am new in using matlab. I am using it for trading rule such filter and moving average but I could not make it. does anyone have them already programmed in matlab.

thanks

14 Feb 2012 Olesya  
14 Feb 2012 Olesya

Works great, thanks so much for posting!

02 Nov 2011 Sherif

Works well, thanks.

13 May 2010 Z Izham

Better than Matlab's moving average function, simple and does the trick

22 Jul 2009 Daniel Høyer Iversen  
27 Jul 2008 P. Strömholm

works great and is very fast. thanks

07 Jul 2008 Aslak Grinsted

Hi. I've updated the script to make it much more flexible. You can now easily calculate things like the moving 90th percentile.

For people with errors: i would appreciate if you email me your problems directly so that i can improve the code.

21 Feb 2007 Johannes Driessen

(Sorry - error reported is as follows:)

??? Subscript indices must either be real positive integers or logicals.

21 Feb 2007 Johannes Driessen

Error in ==> moving at 27
y=y([zeros(1,m2)+m2+1,(m2+1):(n-n2),zeros(1,n2)+(n-n2)],:);

31 Aug 2006 Matteo De Felice

not work

21 Jun 2006 Felix Jose

The script is excellent for wave data smoothing

01 Mar 2006 Aslak Grinsted

Just delete it then. I'll still use it myself.

22 Feb 2006 kývanç kýlýç

not work

06 Oct 2005 Aslak Grinsted

moving can handle multiple columns at once which smooth can not. Smooth always uses an odd size window, even if you ask for an even sized one. They also handle edges a little differently. With moving.m it is very easy to spot where the edge is affecting the average.

So, i think smooth does not make moving obsolete.

03 Oct 2005 N. Schneebly

use Matlabs smooth function

Updates
16 Jun 2011

added Screenshot, updated description

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