We at STATWORX work a lot with R and we often use the same little helper functions within our projects. These functions ease our daily work life by reducing repetitive code parts or by creating overviews of our projects. At first, there was no plan to make a package, but soon I realised, that it will be much easier to share and improve those functions, if they are within a package. Up till the 24th December I will present one function each day from helfRlein. So, on the 10th day of Christmas my true love gave to me…

Previously in this series:

Sponsored Post.Math for Machine Learning, by Richard Han.

By Avneesh Sharma, Tech Product Management

On December 9 2008, very nearly ten years ago, the first post on Revolutions was published. Way back then, this blog was part of a young startup called Revolution Computing, which later became Revolution Analytics. (That name persists to this day in the URL of this blog.) The idea at that time was to introduce the world to a wonderful but little-known statistics environment called R, by sharing news and applications of R to the broader data analysis community, along with tips and tricks for those that had already discovered R.

Y’all it may have taken me a little time, but I did listen. Thank you for your emails. Because of you, I have now updated my ggmap tutorial to address the Google Static Map API service issues!

Someone sent in a question (see below). I asked if I could post the question and my reply on blog, and the person responded:

I taught my Data Visualization seminar in Philadelphia this past Friday and Saturday. It covers most of the content of my book, including a unit on making maps. The examples in the book are from the United States. But what about other places? Two of the participants were from Canada, and so here’s an example that walks through the process of grabbing a shapefile and converting it to a simple-features object for use in R. A self-contained R project with this code is available on GitHub.