R Chart

July 24, 2010

(This article was first published on R-Chart, and kindly contributed to R-bloggers)

Been meaning to write this for awhile…

An R-Chart is a statistical quality assurance tool used to determine if a process is stable (and predictable).  It is intended to maintain and improve the quality of a process (a more formal definition is available at QualityAdvisor.com.  You can also read about an R Chart at Wikipedia or learn about how to interpret them at Quality America.

That being said, the R-Programming Language is a programming environment geared towards a wide variety of statistical analysis tasks.  However, it can be used specifically in statistical quality control efforts.  In fact, there are several R packages specifically designed with this in mind:

The name of this blog is R-Chart.  This was intended to convey the use of the R package primarily in creating graphical charts.  I kind of liked the overloaded meaning that indicated a desire for quality in a process but I must admit, that is not the primary focus of the blog at this point.  So best wishes on your QA tasks – I know that you can create your R Charts using Excel,  but maybe you should look into R to assist you in the effort…

To leave a comment for the author, please follow the link and comment on their blog: R-Chart.

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