Apply a ggplot-function per group with dplyr and set title per group

Question

I would like to create one separate plot per group in a data frame and include the group in the title.

With the iris dataset I can in base R and ggplot do this

Answer 1

This is another option using rowwise:

plots2 = iris %>% 
    group_by(Species) %>% 
    do(plots = p %+% .) %>% 
    rowwise() %>%
    do(x=.$plots + ggtitle(.$Species))

Answer 2

From dplyr 0.8.0 we can use group_map :

library(dplyr, warn.conflicts = FALSE, quietly = TRUE)
#> Warning: le package 'dplyr' a été compilé avec la version R 3.5.2
library(ggplot2)
plots3 <- iris %>%
  group_by(Species) %>%
  group_map(~tibble(plots=list(
    ggplot(.) + aes(x=Petal.Width, y=Petal.Length) + geom_point() + ggtitle(.y[[1]]))))

plots3
#> # A tibble: 3 x 2
#> # Groups:   Species [3]
#>   Species    plots   
#>   <fct>      <list>  
#> 1 setosa     <S3: gg>
#> 2 versicolor <S3: gg>
#> 3 virginica  <S3: gg>
plots3$plots[[2]]

Created on 2019-02-18 by the reprex package (v0.2.0).

Answer 3

Use .$Species to pull the species data into ggtitle:

iris %>% group_by(Species) %>% do(plots=ggplot(data=.) +
         aes(x=Petal.Width, y=Petal.Length) + geom_point() + ggtitle(unique(.$Species)))