Programming with ggplot2 and dplyr

Question

I want to combine dplyr and ggplot within one function using piping and struggling with some issues now.

Here is the first easy one which

Answer 1

ggplot2 v3.0.0 released in July 2018 supports !! (bang bang), !!!, and :=.

facet_wrap() and facet_grid() support vars() inputs. The first two arguments of facet_grid() become rows and cols. facet_grid(vars(cyl), vars(am, vs)) is equivalent to facet_grid(cyl ~ am + vs) and facet_grid(cols = vars(am, vs)) is equivalent to facet_grid(. ~ am + vs).

So your example can be modified as follow:

library(rlang)
library(tidyverse)

foo <- function(df, y, gr, t=4) {
  y <- enquo(y)
  gr <- enquo(gr)

  df %>% 
    filter(!!y > t) %>% 
    ggplot(aes(!!y)) + 
    geom_histogram() +  
    facet_grid(cols = vars(!!gr))
}

foo(mtcars, y= cyl, gr= vs)
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Created on 2018-04-04 by the reprex package (v0.2.0).

Answer 2

@Tung's answer can be simplified using {{ syntax. https://rlang.r-lib.org/reference/quasiquotation.html

library(rlang)
library(dplyr)
library(ggplot2)

foo <- function(df, y, gr, t = 4) {
  df %>% 
    filter({{ y }}> t) %>% 
    ggplot(aes({{ y }})) + 
    geom_histogram() +  
    facet_grid(cols = vars({{ gr }}))
}

foo(mtcars, y = cyl, gr = vs)