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New wrapr R pipeline feature: wrapr_applicable

The R package wrapr now has a neat new feature: “wrapr_applicable”.

Wraprs

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: Tutorials

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jmount

Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.

1 reply

  1. 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
    
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