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January 31, 2019 06:20
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Possible nest() bug when acting on grouped_df object and passing nesting columns
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reprex::reprex({ | |
library(magrittr) | |
library(tibble) | |
suppressMessages(library(tidyr)) | |
suppressMessages(library(dplyr)) | |
# Option 1 | |
# Proper nesting of cyl using group_by | |
df1 <- mtcars %>% | |
group_by(cyl) %>% | |
nest() | |
df1 | |
names(df1$data[[1]]) | |
# Option 2 | |
# Proper nesting of cyl using nest alone | |
df2 <- mtcars %>% | |
as_tibble() %>% | |
nest(-cyl) | |
df2 | |
names(df2$data[[1]]) | |
# Option 3 | |
# Both. Assume you used dplyr::group_by(), forgot to | |
# ungroup and then wanted to tidyr::nest() on `gear` | |
df3 <- mtcars %>% | |
as_tibble() %>% | |
group_by(cyl) %>% | |
nest(-gear) | |
df3 | |
names(df3$data[[1]]) | |
# In this case the group_by supercedes the nest argument, which is ok | |
# The problem is `gear` is dropped from the nested data frame | |
# yet gear is not part of the nesting | |
# Expected (?) Behavior | |
mtcars %>% | |
as_tibble() %>% | |
tidyr::nest(-cyl, -gear) | |
}) |
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