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Original file (SVG file, nominally 990 × 720 pixels, file size: 59 KB)

Description

This graphic represents the four datasets defined by Francis Anscombe for which some of the usual statistical properties (mean, variance, correlation and regression line) are the same, even though the datasets are different.

Reference:

  • Anscombe, Francis J. (1973) Graphs in statistical analysis. American Statistician, 27, 17–21.
Date (UTC)
Source Anscombe.svg
Author
SVG development
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This chart was created with R.
This graphic is derived from earlier work by Schutz and the R development core team. As far as their rights and licensing allow, I license my contribution under the all the following licenses. The GPL is the only one I am sure applies.

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Source code
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R code

R code to create the graphic:
  svg("Anscombe's quartet 3.svg", width=11, height=8)
  op <- par(las=1, mfrow=c(2,2), mar=1.5+c(4,4,1,1), oma=c(0,0,0,0),
            lab=c(6,6,7), cex.lab=2.0, cex.axis=1.3, mgp=c(3,1,0))
  ff <- y ~ x
  for(i in 1:4) {
    ff[[2]] <- as.name(paste("y", i, sep=""))
    ff[[3]] <- as.name(paste("x", i, sep=""))
    lmi <- lm(ff, data= anscombe)
    xl <- substitute(expression(x[i]), list(i=i))  
    yl <- substitute(expression(y[i]), list(i=i))
    plot(ff, data=anscombe, col="red", pch=21, cex=2.4, bg = "orange", 
         xlim=c(3,19), ylim=c(3,13)
         , xlab=eval(xl), ylab=yl  # for version 3
        )  
    abline(lmi, col="blue")
  }
  par(op)
  dev.off()
I, the copyright holder of this work, hereby publish it under the following licenses:
GNU head

This work is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or any later version. This work is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See version 2 and version 3 of the GNU General Public License for more details.

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attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
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. A copy of the license is included in the section entitled GNU Free Documentation License.
You may select the license of your choice.

Original upload log

This image is a derivative work of the following images:

  • File:Anscombe.svg licensed with GPL
    • 2007-01-15T00:07:48Z Schutz 990x677 (90185 Bytes)
    • 2007-01-15T00:05:45Z Schutz 990x677 (90340 Bytes)
    • 2006-06-13T21:37:54Z Schutz 1044x750 (95808 Bytes)
    • 2006-06-13T18:27:51Z Schutz 1125x875 (95747 Bytes)

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copyright license

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Creative Commons Attribution-ShareAlike 3.0 Unported

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inception

26 March 2010

media type

image/svg+xml

checksum

4e4e8edffc872960f88c94479d660040f8d9ca9a

determination method or standard: SHA-1

data size

60,580 byte

height

720 pixel

width

990 pixel

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Date/TimeThumbnailDimensionsUserComment
current17:18, 26 March 2010Thumbnail for version as of 17:18, 26 March 2010990 × 720 (59 KB)AvenueIncrease size of axis titles
17:09, 26 March 2010Thumbnail for version as of 17:09, 26 March 2010990 × 720 (59 KB)Avenue{{Information |Description=This graphic represents the four datasets defined by Francis Anscombe for which some of the usual statistical properties (mean, variance, correlation and regression line) are the same, even though the datasets are different. |So

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source: https://en.wikipedia.org/wiki/File:Anscombe%27s_quartet_3.svg