wrapr 2.0.0 up on CRAN
wrapr 2.0.0 is now up on CRAN. This means the := variant of unpack[] is now easy to install. Please give it a try!
Version Control is a Time Machine That Translates Common Hindsight Into Valuable Foresight
For data science projects I recommend using source control or version control, and committing changes at a very fine level of granularity. This means checking in possibly broken code, and the possibly weak commit messages (so when working in a shared project, you may want a private branch or second […]
Controlling Data Layout With cdata
Here is an example how easy it is to use cdata to re-layout your data. Tim Morris recently tweeted the following problem (corrected). Please will you take pity on me #rstats folks? I only want to reshape two variables x & y from wide to long! Starting with: d xa […]
Operator Notation for Data Transforms
As of cdata version 1.0.8 cdata implements an operator notation for data transform. The idea is simple, yet powerful.
How cdata Control Table Data Transforms Work
With all of the excitement surrounding cdata style control table based data transforms (the cdata ideas being named as the “replacements” for tidyr‘s current methodology, by the tidyr authors themselves!) I thought I would take a moment to describe how they work.
More on Macros in R
Recently ran into something interesting in the R macros/quasi-quotation/substitution/syntax front: Romain François: “.@_lionelhenry reveals planned double curly syntax At #satRdayParis as a possible replacement, addition to !! and enquo()” It appears !! is no longer the last word in substitution (it certainly wasn’t the first).
Getting Started With rquery
To make getting started with rquery (an advanced query generator for R) easier we have re-worked the package README for various data-sources (including SparkR!).
Playing With Pipe Notations
Recently Hadley Wickham prescribed pronouncing the magrittr pipe as “then” and using right-assignment as follows: I am not sure if it is a good or bad idea. But let’s play with it a bit, and perhaps readers can submit their experience and opinions in the comments section.
Timing the Same Algorithm in R, Python, and C++
While developing the RcppDynProg R package I took a little extra time to port the core algorithm from C++ to both R and Python. This means I can time the exact same algorithm implemented nearly identically in each of these three languages. So I can extract some comparative “apples to […]
Quoting Concatenate
In our last note we used wrapr::qe() to help quote expressions. In this note we will discuss quoting and code-capturing interfaces (interfaces that capture user source code) a bit more.