I am in the process of learning the tidyverse and am loving the flow the pipe operator offers. I was wondering, is it possible to split a pipe at all so that the output from one part of the pipe can go to two separate commands? I have done a little research on this and have seen nothing about this being possible. So that instead of doing something like this where you would have to save the first step.
iris_filter <- iris %>%
filter(Sepal.Length <= 5.8)
iris_filter %>%
summarise(n= n())
iris_filter %>%
arrange(Sepal.Length)
Could you instead have filter
passed to two separate commands and continue down two distinct pipe paths? A little image to clarify what I am curious is possible.
The %T>%
operator from the magrittr
-package seems to be what you are looking for.
However for that specific problem I would write a custom function which outputs the original data:
library(tidyverse)
custom.function <- function(x) {
summarise(x, n = n()) %>%
print()
return(x)
}
iris %>%
filter(Sepal.Length <= 5.8) %>%
custom.function() %>%
arrange(Sepal.Length)
#> n
#> 1 80
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 1 4.3 3.0 1.1 0.1 setosa
#> 2 4.4 2.9 1.4 0.2 setosa
#> 3 4.4 3.0 1.3 0.2 setosa
#> 4 4.4 3.2 1.3 0.2 setosa
#> 5 4.5 2.3 1.3 0.3 setosa
#> 6 4.6 3.1 1.5 0.2 setosa
#> 7 4.6 3.4 1.4 0.3 setosa
#> 8 4.6 3.6 1.0 0.2 setosa
#> 9 4.6 3.2 1.4 0.2 setosa
#> 10 4.7 3.2 1.3 0.2 setosa
#> 11 4.7 3.2 1.6 0.2 setosa
#> 12 4.8 3.4 1.6 0.2 setosa
#> 13 4.8 3.0 1.4 0.1 setosa
#> 14 4.8 3.4 1.9 0.2 setosa
#> 15 4.8 3.1 1.6 0.2 setosa
#> 16 4.8 3.0 1.4 0.3 setosa
#> 17 4.9 3.0 1.4 0.2 setosa
#> 18 4.9 3.1 1.5 0.1 setosa
#> 19 4.9 3.1 1.5 0.2 setosa
#> 20 4.9 3.6 1.4 0.1 setosa
#> 21 4.9 2.4 3.3 1.0 versicolor
#> 22 4.9 2.5 4.5 1.7 virginica
#> 23 5.0 3.6 1.4 0.2 setosa
#> 24 5.0 3.4 1.5 0.2 setosa
#> 25 5.0 3.0 1.6 0.2 setosa
#> 26 5.0 3.4 1.6 0.4 setosa
#> 27 5.0 3.2 1.2 0.2 setosa
#> 28 5.0 3.5 1.3 0.3 setosa
#> 29 5.0 3.5 1.6 0.6 setosa
#> 30 5.0 3.3 1.4 0.2 setosa
#> 31 5.0 2.0 3.5 1.0 versicolor
#> 32 5.0 2.3 3.3 1.0 versicolor
#> 33 5.1 3.5 1.4 0.2 setosa
#> 34 5.1 3.5 1.4 0.3 setosa
#> 35 5.1 3.8 1.5 0.3 setosa
#> 36 5.1 3.7 1.5 0.4 setosa
#> 37 5.1 3.3 1.7 0.5 setosa
#> 38 5.1 3.4 1.5 0.2 setosa
#> 39 5.1 3.8 1.9 0.4 setosa
#> 40 5.1 3.8 1.6 0.2 setosa
#> 41 5.1 2.5 3.0 1.1 versicolor
#> 42 5.2 3.5 1.5 0.2 setosa
#> 43 5.2 3.4 1.4 0.2 setosa
#> 44 5.2 4.1 1.5 0.1 setosa
#> 45 5.2 2.7 3.9 1.4 versicolor
#> 46 5.3 3.7 1.5 0.2 setosa
#> 47 5.4 3.9 1.7 0.4 setosa
#> 48 5.4 3.7 1.5 0.2 setosa
#> 49 5.4 3.9 1.3 0.4 setosa
#> 50 5.4 3.4 1.7 0.2 setosa
#> 51 5.4 3.4 1.5 0.4 setosa
#> 52 5.4 3.0 4.5 1.5 versicolor
#> 53 5.5 4.2 1.4 0.2 setosa
#> 54 5.5 3.5 1.3 0.2 setosa
#> 55 5.5 2.3 4.0 1.3 versicolor
#> 56 5.5 2.4 3.8 1.1 versicolor
#> 57 5.5 2.4 3.7 1.0 versicolor
#> 58 5.5 2.5 4.0 1.3 versicolor
#> 59 5.5 2.6 4.4 1.2 versicolor
#> 60 5.6 2.9 3.6 1.3 versicolor
#> 61 5.6 3.0 4.5 1.5 versicolor
#> 62 5.6 2.5 3.9 1.1 versicolor
#> 63 5.6 3.0 4.1 1.3 versicolor
#> 64 5.6 2.7 4.2 1.3 versicolor
#> 65 5.6 2.8 4.9 2.0 virginica
#> 66 5.7 4.4 1.5 0.4 setosa
#> 67 5.7 3.8 1.7 0.3 setosa
#> 68 5.7 2.8 4.5 1.3 versicolor
#> 69 5.7 2.6 3.5 1.0 versicolor
#> 70 5.7 3.0 4.2 1.2 versicolor
#> 71 5.7 2.9 4.2 1.3 versicolor
#> 72 5.7 2.8 4.1 1.3 versicolor
#> 73 5.7 2.5 5.0 2.0 virginica
#> 74 5.8 4.0 1.2 0.2 setosa
#> 75 5.8 2.7 4.1 1.0 versicolor
#> 76 5.8 2.7 3.9 1.2 versicolor
#> 77 5.8 2.6 4.0 1.2 versicolor
#> 78 5.8 2.7 5.1 1.9 virginica
#> 79 5.8 2.8 5.1 2.4 virginica
#> 80 5.8 2.7 5.1 1.9 virginica
Created on 2018-11-04 by the reprex package (v0.2.1)