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

Summary Edit

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.

Template:Created with R

Licensing Edit

I, the copyright holder of this work, hereby publish it under the following licenses:
Heckert GNU white 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.


CC some rights reserved
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This file is licensed under the Creative Commons Attribution ShareAlike license versions 2.5, 2.0, and 1.0
You may select the license of your choice.
This page uses content from the Wikimedia Commons. The original content was at File:Acf.svg. The list of authors can be seen in the page history. As with this Psychology Wiki wiki, that portion of the content of Wikimedia Commons is available under the GNU Free Documentation License.

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  • Autocorrelation

    Assessment | Biopsychology | Comparative | Cognitive | Developmental | Language | Individual...

  • File:Acf.svg

    Summary An image of random numbers, with a hidden sine function, with a wavelength every 10...

See full list >

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current12:34, November 5, 2007Thumbnail for version as of 12:34, November 5, 2007217 × 289 (50 KB)PhloxBot (Talk | contribs)== 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: <pre> library(RSvgDevice)

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