The R package wrapr now has a neat new feature: “wrapr_applicable”.
This feature allows objects to declare a surrogate function to stand in for the object in wrapr pipelines. It is a powerful technique and allowed us to quickly implement a convenient new ad hoc query mode for rquery.
A small effort in making a package “wrapr aware” appears to have a fairly large payoff.
Categories: data science Programming Tutorials
jmount
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.
The wrapr pipe is obviously not the first or only pipe in R. But, in my opinion, it has a few technical advantages. It works very well with the popular dplyr package (even with notations magrittr has trouble with):
library("wrapr") disp <- 4 datasets::mtcars %.>% dplyr::filter(., .data$cyl == .env$disp) #> mpg cyl disp hp drat wt qsec vs am gear carb #> 1 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 #> 2 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 #> 3 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 #> 4 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 #> 5 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 #> 6 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 #> 7 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 #> 8 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 #> 9 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 #> 10 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 #> 11 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2