I just joined my first LVASQ meeting online and wanted to introduce myself here as well. I graduated with a BS in Manufacturing Engineering Technology in 2017 and am currently the Quality Control Manager at RAM Company in St George, UT where I oversee the inspection department. Just today we finished the onsite portion of our AS9100 audit and received only one minor finding, which we're happy about. 
As a hobby I like to program in r and you can see some of my recent projects on my website at jmarriott.com/posts.
I currently have the CQPA certification and am working towards becoming a CSSBB, so much of my interest is in that area right now.
Thursday nights are not typically good for me to meet, so an occasional Wednesday meeting would be awesome. 
5 Replies
Trish Borzon
1161 Posts
Hi Jameson - welcome to the community.  Congratulations on your audit
Amanda Foster
668 Posts
Welcome Jameson Marriott‍!
Joe Wojniak
90 Posts
Hi Jameson, I've often thought that R would be great for BB projects.  Large companies can buy licenses to SPSS, Minitab, etc. but I thought that an R library would be a great way to enable more companies to implement Six Sigma.  I like your post about ggQC.  The barrier to entry looks like learning R...
Harry Rowe
91 Posts
Becoming a skilled R programmer is a  somewhat challenging and never ending task, partly because the pace of development of new tools ("packages") outstrips anyone's ability to learn them all. But one can gain a useful grasp of the language fairly quickly using one of the many available online resources. My favorite is "simpleR" by John Verzani.

Consider this snippet:
> x <- c(1.1,2.2,3.3)

The first line defines x as a vector with three values, the second calculates the standard deviation of x and stores it in a variable named s. The third line plots a histogram of x.

And while I consider the R command line to be one of its strengths, if you are averse to the command line, there are GUI interfaces like R Commander available for download that allow you to "point and click" your way through analyses. But for "reproducible research" it's hard to beat R scripts that encapsulate all the analysis code and generate the final PDF output.
I only started learning R back in 2016 and already there have been lots of changes to keep up with, and I've been through package updates that break my code. Generally speaking, I really appreciate how the Tidyverse is making packages more consistent, which is why I was exploring the ggQC package. 
There are so many ways to learn R, but I have found Datacamp to be particularly helpful. I use RStudio, but RCommander is a good way to get started if you're apprehensive about programing.