Posted on Categories Opinion, ProgrammingTags , , ,


I would like to once again recommend our readers to our note on wrapr::let(), an R function that can help you eliminate many problematic NSE (non-standard evaluation) interfaces (and their associate problems) from your R programming tasks.

The idea is to imitate the following lambda-calculus idea:

let x be y in z := ( λ x . z ) y

Continue reading wrapr::let()

Posted on Categories Opinion, Programming, TutorialsTags , , ,

wrapr 1.4.1 now up on CRAN

wrapr 1.4.1 is now available on CRAN. wrapr is a really neat R package both organizing, meta-programming, and debugging R code. This update generalizes the dot-pipe feature’s dot S3 features.

Please give it a try!

Continue reading wrapr 1.4.1 now up on CRAN

Posted on Categories Coding, Opinion, Statistics, TutorialsTags , , , , , , , 1 Comment on R Tip: Use let() to Re-Map Names

R Tip: Use let() to Re-Map Names

Another R tip. Need to replace a name in some R code or make R code re-usable? Use wrapr::let().

Continue reading R Tip: Use let() to Re-Map Names

Posted on Categories Exciting Techniques, Programming, Statistics, TutorialsTags , , , , , 4 Comments on Supercharge your R code with wrapr

Supercharge your R code with wrapr

I would like to demonstrate some helpful wrapr R notation tools that really neaten up your R code.

1968 AMX blown and tubbed e

Img: Christopher Ziemnowicz.

Continue reading Supercharge your R code with wrapr

Posted on Categories Coding, Opinion, Statistics, TutorialsTags , , , ,

Let X=X in R

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 R.

In this article we will show how wrapr makes code-rewriting even easier with its new let x=x automation.


Let X=X

Continue reading Let X=X in R

Posted on Categories Coding, Opinion, Programming, StatisticsTags , , , 7 Comments on In defense of wrapr::let()

In defense of wrapr::let()

Saw this the other day:


In defense of wrapr::let() (originally part of replyr, and still re-exported by that package) I would say:

  • let() was deliberately designed for a single real-world use case: working with data when you don’t know the column names when you are writing the code (i.e., the column names will come later in a variable). We can re-phrase that as: there is deliberately less to learn as let() is adapted to a need (instead of one having to adapt to let()).
  • The R community already has months of experience confirming let() working reliably in production while interacting with a number of different packages.
  • let() will continue to be a very specific, consistent, reliable, and relevant tool even after dpyr 0.6.* is released, and the community gains experience with rlang/tidyeval in production.

If rlang/tidyeval is your thing, by all means please use and teach it. But please continue to consider also using wrapr::let(). If you are trying to get something done quickly, or trying to share work with others: a “deeper theory” may not be the best choice.

An example follows. Continue reading In defense of wrapr::let()