Assign unique ID based on values in EITHER of two columns

Question

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I have a data.frame like so:

library(tidyverse)

tibble(
  color = c("blue", "blue", "red", "green", "purple"),
  shape = c("triangle", "square", "circle", "hexagon", "hexagon")
)

  color  shape   
  <chr>  <chr>   
1 blue   triangle
2 blue   square  
3 red    circle  
4 green  hexagon 
5 purple hexagon 

I'd like to add a group_id column like this:

  color  shape    group_id
  <chr>  <chr>       <dbl>
1 blue   triangle        1
2 blue   square          1
3 red    circle          2
4 green  hexagon         3
5 purple hexagon         3

The difficulty is that I want to group by unique values of color or shape . I suspect the solution might be to use list-columns, but I can't figure out how.

Answer 1

We can use duplicated in base R

df1$group_id <- cumsum(!Reduce(`|`, lapply(df1, duplicated)))

-output

df1
# A tibble: 5 x 3
#  color  shape    group_id
#  <chr>  <chr>       <int>
#1 blue   triangle        1
#2 blue   square          1
#3 red    circle          2
#4 green  hexagon         3
#5 purple hexagon         3

---

Or using tidyverse

library(dplyr)
library(purrr)
df1 %>%
    mutate(group_id = map(.,  duplicated) %>%
                         reduce(`|`) %>%
                         `!` %>% 
                       cumsum)

data

df1 <- structure(list(color = c("blue", "blue", "red", "green", "purple"
), shape = c("triangle", "square", "circle", "hexagon", "hexagon"
)), row.names = c(NA, -5L), class = c("tbl_df", "tbl", "data.frame"
))