Assign intermediate output to temp variable as part of dplyr pipeline

Question

Q: In an R dplyr pipeline, how can I assign some intermediate output to a temp variable for use further down the pipeline?

My approach below works. But it assigns in

Answer 1

pipeR is a package that extends the capabilities of the pipe without adding different pipes (as magrittr does). To assign, you pass a variable name, quoted with ~ in parentheses as an element in your pipe:

library(dplyr)
library(pipeR)

df %>>%
  filter(b < 3) %>>%
  (~tmp) %>>% 
  mutate(b = b*2) %>>%
  bind_rows(tmp)
##   a b
## 1 A 2
## 2 B 4
## 3 A 1
## 4 B 2

tmp
##   a b
## 1 A 1
## 2 B 2

While the syntax is not terribly descriptive, pipeR is very well documented.