File:Acf.svg

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Acf.svg(SVG file, nominally 217 × 289 pixels, file size: 50 KB)

[edit] Summary

An image of random numbers, with a hidden sine function, with a wavelength every 10 units. The bottom image shows the autocorrelation.

Made using R:

library(RSvgDevice)
x <- rnorm(100) + sin(2*pi*1:100/10)
devSVG("acf.pdf", width=3, height=4)
par(mfrow=c(2,1), mar=c(3.5, 3.5, 0.5, 0.5), mgp=c(2, 0.8, 0), cex=.7)
plot(x, type="o", col="blue", main=NA)
acf(x, 100, main=NA)
dev.off()

Minor edit for dashed line in bottom figure using Inkscape.

Rlogo.png
This chart was created with R.

[edit] Licensing

I, the copyright holder of this work, hereby publish it under the following licenses:
GNU head Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
Subject to disclaimers.

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Creative Commons license
Creative Commons Attribution Creative Commons Share Alike
This file is licensed under the Creative Commons Attribution ShareAlike 3.0 License. In short: you are free to share and make derivative works of the file under the conditions that you appropriately attribute it, and that you distribute it only under a license identical to this one. Official license Subject to disclaimers.

This licensing tag was added to this file as part of the GFDL licensing update.


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w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 2.5 Generic, 2.0 Generic and 1.0 Generic license.
You are free:
  • to share – to copy, distribute and transmit the work
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File history

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Date/TimeThumbnailDimensionsUserComment
current23:15, 9 July 2007Thumbnail for version as of 23:15, 9 July 2007217 × 289 (50 KB)Mwtoews (== Summary == An image of random numbers, with a hidden sine function, with a wavelength every 10 units. The bottom image shows the autocorrelation. Made by User:Mwtoews using the R programming language: library(RSvgDevice) x <- rnorm()
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