I think this is the R Tip that is going to be the most controversial yet. Its potential pitfalls include: it is a style prescription (which makes it different than and less immediately useful than something of the nature of R Tip: Force Named Arguments), and it is heterodox (this is not how magrittr/dplyr is … Continue reading R Tip: Make Arguments Explicit in magrittr/dplyr Pipelines
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).
For many R users the magrittr pipe is a popular way to arrange computation and famously part of the tidyverse. The tidyverse itself is a rapidly evolving centrally controlled package collection. The tidyverse authors publicly appear to be interested in re-basing the tidyverse in terms of their new rlang/tidyeval package. So it is natural to … Continue reading What is magrittr’s future in the tidyverse?
Version 2.0 of my data set validation package assertr hit CRAN just this weekend. It has some pretty great improvements over version 1. For those new to the package, what follows is a short and new introduction. For those who… Continue reading →
I have just finished and released a free new R video lecture demonstrating how to use the “Bizarro pipe” to debug magrittr pipelines. I think R dplyr users will really enjoy it. Please read on for the link to the video lecture. In this video lecture I use the “Bizarro pipe” to debug the example … Continue reading Using the Bizarro Pipe to Debug magrittr Pipelines in R
Consider the problem of “parametric programming” in R. That is: simply writing correct code before knowing some details, such as the names of the columns your procedure will have to be applied to in the future. Our latest version of replyr::let makes such programming easier. Archie’s Mechanics #2 (1954) copyright Archie Publications (edit: great news! … Continue reading Comparative examples using replyr::let
R has a number of assignment operators (at least “<-“, “=“, and “->“; plus “<<-” and “->>” which have different semantics). The R-style guides routinely insist on “<-” as being the only preferred form. In this note we are going to try to make the case for “->” when using magrittr pipelines. [edit: After reading … Continue reading The Case For Using -> In R
This is a public tank you for @heatherturner's contribution. Now the SciencesPo's crosstable can work in a chain (%>%) fashion; useful for using along with other packages that have integrated the magrittr operator. > candidatos %>% + filter(desc_cargo == 'DEPUTADO ESTADUAL'| desc_cargo =='DEPUTADO DISTRITAL' | desc_cargo =='DEPUTADO FEDERAL' | desc_cargo =='VEREADOR' | desc_cargo =='SENADOR') %>% … Read More →
On this blog, I've had a long running investigation/demonstration of how to make a "embarrassingly-parallel" but computationally intractable (on commodity hardware, at least) R problem more performant by using parallel computation and Rcpp. The example problem is to find the… Continue reading →
As a bit of weekend fun, I decided to briefly look into the #rstats twitter data that Stephen Turner collected and made available (thanks!). Essentially, this data set contains some basic information about over 100,000 tweets that contain the hashtag… Continue reading →
