We have been writing a lot on higher-order data transforms lately:
What I want to do now is "write a bit more, so I finally feel I have been concise."
Continue reading Arbitrary Data Transforms Using cdata
I have just released some simple RStudio add-ins that are great for creating keyboard shortcuts when working with pipes in R.
You can install the add-ins from here (which also includes both installation instructions and use instructions/examples).
Just wrote a new
R article: “Data Wrangling at Scale” (using Dirk Eddelbuettel’s tint template).
Please check it out.
We have just released a major update of the
cdata R package to CRAN.
If you work with
R and data, now is the time to check out the
cdata package. Continue reading Update on coordinatized or fluid data
Our article "Let’s Have Some Sympathy For The Part-time R User" includes two points:
- Sometimes you have to write parameterized or re-usable code.
- The methods for doing this should be easy and legible.
The first point feels abstract, until you find yourself wanting to re-use code on new projects. As for the second point: I feel the
wrapr package is the easiest, safest, most consistent, and most legible way to achieve maintainable code re-use in
In this article we will show how
wrapr makes code-rewriting even easier with its new
let x=x automation.
Continue reading Let X=X in R