R Chart

[This article was first published on R-Chart, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.


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.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)