Aliases: group_split
Keywords:
### ** Examples # ----- use case 1 : on an already grouped tibble ir <- iris %>% group_by(Species) group_split(ir)
<list_of<
tbl_df<
Sepal.Length: double
Sepal.Width : double
Petal.Length: double
Petal.Width : double
Species : factor<fb977>
>
>[3]>
[[1]]
# A tibble: 50 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa
7 4.6 3.4 1.4 0.3 setosa
8 5 3.4 1.5 0.2 setosa
9 4.4 2.9 1.4 0.2 setosa
10 4.9 3.1 1.5 0.1 setosa
# … with 40 more rows
[[2]]
# A tibble: 50 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 7 3.2 4.7 1.4 versicolor
2 6.4 3.2 4.5 1.5 versicolor
3 6.9 3.1 4.9 1.5 versicolor
4 5.5 2.3 4 1.3 versicolor
5 6.5 2.8 4.6 1.5 versicolor
6 5.7 2.8 4.5 1.3 versicolor
7 6.3 3.3 4.7 1.6 versicolor
8 4.9 2.4 3.3 1 versicolor
9 6.6 2.9 4.6 1.3 versicolor
10 5.2 2.7 3.9 1.4 versicolor
# … with 40 more rows
[[3]]
# A tibble: 50 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 6.3 3.3 6 2.5 virginica
2 5.8 2.7 5.1 1.9 virginica
3 7.1 3 5.9 2.1 virginica
4 6.3 2.9 5.6 1.8 virginica
5 6.5 3 5.8 2.2 virginica
6 7.6 3 6.6 2.1 virginica
7 4.9 2.5 4.5 1.7 virginica
8 7.3 2.9 6.3 1.8 virginica
9 6.7 2.5 5.8 1.8 virginica
10 7.2 3.6 6.1 2.5 virginica
# … with 40 more rows
group_keys(ir)
# A tibble: 3 × 1 Species <fct> 1 setosa 2 versicolor 3 virginica
# this can be useful if the grouped data has been altered before the split ir <- iris %>% group_by(Species) %>% filter(Sepal.Length > mean(Sepal.Length)) group_split(ir)
<list_of<
tbl_df<
Sepal.Length: double
Sepal.Width : double
Petal.Length: double
Petal.Width : double
Species : factor<fb977>
>
>[3]>
[[1]]
# A tibble: 22 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 5.1 3.5 1.4 0.2 setosa
2 5.4 3.9 1.7 0.4 setosa
3 5.4 3.7 1.5 0.2 setosa
4 5.8 4 1.2 0.2 setosa
5 5.7 4.4 1.5 0.4 setosa
6 5.4 3.9 1.3 0.4 setosa
7 5.1 3.5 1.4 0.3 setosa
8 5.7 3.8 1.7 0.3 setosa
9 5.1 3.8 1.5 0.3 setosa
10 5.4 3.4 1.7 0.2 setosa
# … with 12 more rows
[[2]]
# A tibble: 24 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 7 3.2 4.7 1.4 versicolor
2 6.4 3.2 4.5 1.5 versicolor
3 6.9 3.1 4.9 1.5 versicolor
4 6.5 2.8 4.6 1.5 versicolor
5 6.3 3.3 4.7 1.6 versicolor
6 6.6 2.9 4.6 1.3 versicolor
7 6 2.2 4 1 versicolor
8 6.1 2.9 4.7 1.4 versicolor
9 6.7 3.1 4.4 1.4 versicolor
10 6.2 2.2 4.5 1.5 versicolor
# … with 14 more rows
[[3]]
# A tibble: 22 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 7.1 3 5.9 2.1 virginica
2 7.6 3 6.6 2.1 virginica
3 7.3 2.9 6.3 1.8 virginica
4 6.7 2.5 5.8 1.8 virginica
5 7.2 3.6 6.1 2.5 virginica
6 6.8 3 5.5 2.1 virginica
7 7.7 3.8 6.7 2.2 virginica
8 7.7 2.6 6.9 2.3 virginica
9 6.9 3.2 5.7 2.3 virginica
10 7.7 2.8 6.7 2 virginica
# … with 12 more rows
group_keys(ir)
# A tibble: 3 × 1 Species <fct> 1 setosa 2 versicolor 3 virginica
# ----- use case 2: using a group_by() grouping specification # both group_split() and group_keys() have to perform the grouping # so it only makes sense to do this if you only need one or the other iris %>% group_split(Species)
<list_of<
tbl_df<
Sepal.Length: double
Sepal.Width : double
Petal.Length: double
Petal.Width : double
Species : factor<fb977>
>
>[3]>
[[1]]
# A tibble: 50 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa
7 4.6 3.4 1.4 0.3 setosa
8 5 3.4 1.5 0.2 setosa
9 4.4 2.9 1.4 0.2 setosa
10 4.9 3.1 1.5 0.1 setosa
# … with 40 more rows
[[2]]
# A tibble: 50 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 7 3.2 4.7 1.4 versicolor
2 6.4 3.2 4.5 1.5 versicolor
3 6.9 3.1 4.9 1.5 versicolor
4 5.5 2.3 4 1.3 versicolor
5 6.5 2.8 4.6 1.5 versicolor
6 5.7 2.8 4.5 1.3 versicolor
7 6.3 3.3 4.7 1.6 versicolor
8 4.9 2.4 3.3 1 versicolor
9 6.6 2.9 4.6 1.3 versicolor
10 5.2 2.7 3.9 1.4 versicolor
# … with 40 more rows
[[3]]
# A tibble: 50 × 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <fct>
1 6.3 3.3 6 2.5 virginica
2 5.8 2.7 5.1 1.9 virginica
3 7.1 3 5.9 2.1 virginica
4 6.3 2.9 5.6 1.8 virginica
5 6.5 3 5.8 2.2 virginica
6 7.6 3 6.6 2.1 virginica
7 4.9 2.5 4.5 1.7 virginica
8 7.3 2.9 6.3 1.8 virginica
9 6.7 2.5 5.8 1.8 virginica
10 7.2 3.6 6.1 2.5 virginica
# … with 40 more rows
iris %>% group_keys(Species)
Warning: The `...` argument of `group_keys()` is deprecated as of dplyr 1.0.0. ℹ Please `group_by()` first This warning is displayed once every 8 hours. Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.
# A tibble: 3 × 1 Species <fct> 1 setosa 2 versicolor 3 virginica