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Authors: Paul Murrell, Stephen Gardiner
Title: [download]
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Quality Control for Statistical Graphics: The graphicsQC Package for R
Reference: Vol. 30, Issue 1, Apr 2009
Submitted 2008-12-08, Accepted 2009-02-25
Type: Article
Abstract:

An important component of quality control for statistical graphics software is the ability not only to test that code runs without errors, but also to test that code produces the right result. The simple way to test for the correct result in graphical output is to test whether a test file differs from a control file; this is effective in determining whether a difference exists. However, the test can be significantly enhanced by also producing a graphical image of any difference; this makes it much easier to determine how and why two files differ. This article describes the graphicsQC package for R, which provides functions for producing and comparing files of graphical output and for generating a report of the results, including images of any differences.

Paper: [download]
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Quality Control for Statistical Graphics: The graphicsQC Package for R
(application/pdf, 613.5 KB)
Supplements: [download]
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graphicsQC_1.0-4.tar.gz: R source package
(application/x-gzip, 922 KB)
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v30i01.R:R example code from the paper
(application/octet-stream, 1.6 KB)
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demo3.R: R script sourced by v30i01.R
(application/octet-stream, 102 Bytes)
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v30i01-example.zip: Files behind the large example in Section 4
(application/zip, 1.7 MB)
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v30i01-output.zip: Output produced by v30i01.R
(application/zip, 387.1 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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