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# data_partition works as expected
Code
data_partition(letters, seed = 123)
Output
$p_0.7
data .row_id
1 c 3
2 e 5
3 h 8
4 i 9
5 j 10
6 k 11
7 l 12
8 m 13
9 n 14
10 o 15
11 p 16
12 r 18
13 s 19
14 t 20
15 u 21
16 w 23
17 x 24
18 y 25
$test
data .row_id
1 a 1
2 b 2
3 d 4
4 f 6
5 g 7
6 q 17
7 v 22
8 z 26
---
Code
str(data_partition(iris, proportion = 0.7, seed = 123))
Output
List of 2
$ p_0.7:'data.frame': 105 obs. of 6 variables:
..$ Sepal.Length: num [1:105] 4.6 5.4 4.6 5 4.4 4.9 4.8 4.8 4.3 5.8 ...
..$ Sepal.Width : num [1:105] 3.1 3.9 3.4 3.4 2.9 3.1 3.4 3 3 4 ...
..$ Petal.Length: num [1:105] 1.5 1.7 1.4 1.5 1.4 1.5 1.6 1.4 1.1 1.2 ...
..$ Petal.Width : num [1:105] 0.2 0.4 0.3 0.2 0.2 0.1 0.2 0.1 0.1 0.2 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:105] 4 6 7 8 9 10 12 13 14 15 ...
$ test :'data.frame': 45 obs. of 6 variables:
..$ Sepal.Length: num [1:45] 5.1 4.9 4.7 5 5.4 5.1 5.7 5.2 5.2 5.2 ...
..$ Sepal.Width : num [1:45] 3.5 3 3.2 3.6 3.7 3.5 3.8 3.5 3.4 4.1 ...
..$ Petal.Length: num [1:45] 1.4 1.4 1.3 1.4 1.5 1.4 1.7 1.5 1.4 1.5 ...
..$ Petal.Width : num [1:45] 0.2 0.2 0.2 0.2 0.2 0.3 0.3 0.2 0.2 0.1 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:45] 1 2 3 5 11 18 19 28 29 33 ...
---
Code
str(data_partition(iris, proportion = c(0.2, 0.5), seed = 123))
Output
List of 3
$ p_0.2:'data.frame': 30 obs. of 6 variables:
..$ Sepal.Length: num [1:30] 4.6 4.4 4.3 4.6 5 5 5.4 5 4.4 5 ...
..$ Sepal.Width : num [1:30] 3.4 2.9 3 3.6 3 3.4 3.4 3.5 3.2 3.3 ...
..$ Petal.Length: num [1:30] 1.4 1.4 1.1 1 1.6 1.6 1.5 1.3 1.3 1.4 ...
..$ Petal.Width : num [1:30] 0.3 0.2 0.1 0.2 0.2 0.4 0.4 0.3 0.2 0.2 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:30] 7 9 14 23 26 27 32 41 43 50 ...
$ p_0.5:'data.frame': 75 obs. of 6 variables:
..$ Sepal.Length: num [1:75] 4.6 5.4 5 4.9 4.8 5.8 5.7 5.4 5.1 5.7 ...
..$ Sepal.Width : num [1:75] 3.1 3.9 3.4 3.1 3.4 4 4.4 3.9 3.5 3.8 ...
..$ Petal.Length: num [1:75] 1.5 1.7 1.5 1.5 1.6 1.2 1.5 1.3 1.4 1.7 ...
..$ Petal.Width : num [1:75] 0.2 0.4 0.2 0.1 0.2 0.2 0.4 0.4 0.3 0.3 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:75] 4 6 8 10 12 15 16 17 18 19 ...
$ test :'data.frame': 45 obs. of 6 variables:
..$ Sepal.Length: num [1:45] 5.1 4.9 4.7 5 5.4 4.8 5.4 5.1 5.2 4.9 ...
..$ Sepal.Width : num [1:45] 3.5 3 3.2 3.6 3.7 3 3.4 3.7 4.1 3.1 ...
..$ Petal.Length: num [1:45] 1.4 1.4 1.3 1.4 1.5 1.4 1.7 1.5 1.5 1.5 ...
..$ Petal.Width : num [1:45] 0.2 0.2 0.2 0.2 0.2 0.1 0.2 0.4 0.1 0.2 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:45] 1 2 3 5 11 13 21 22 33 35 ...
---
Code
str(data_partition(iris, proportion = 0.7, by = "Species", seed = 123))
Output
List of 2
$ p_0.7:'data.frame': 105 obs. of 6 variables:
..$ Sepal.Length: num [1:105] 4.7 4.6 5 4.6 5 4.4 4.9 5.4 4.8 4.8 ...
..$ Sepal.Width : num [1:105] 3.2 3.1 3.6 3.4 3.4 2.9 3.1 3.7 3.4 3 ...
..$ Petal.Length: num [1:105] 1.3 1.5 1.4 1.4 1.5 1.4 1.5 1.5 1.6 1.4 ...
..$ Petal.Width : num [1:105] 0.2 0.2 0.2 0.3 0.2 0.2 0.1 0.2 0.2 0.1 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:105] 3 4 5 7 8 9 10 11 12 13 ...
$ test :'data.frame': 45 obs. of 6 variables:
..$ Sepal.Length: num [1:45] 5.1 4.9 5.4 5.7 5.1 5.1 5.1 4.6 5.5 4.9 ...
..$ Sepal.Width : num [1:45] 3.5 3 3.9 4.4 3.5 3.8 3.7 3.6 4.2 3.1 ...
..$ Petal.Length: num [1:45] 1.4 1.4 1.7 1.5 1.4 1.5 1.5 1 1.4 1.5 ...
..$ Petal.Width : num [1:45] 0.2 0.2 0.4 0.4 0.3 0.3 0.4 0.2 0.2 0.2 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:45] 1 2 6 16 18 20 22 23 34 35 ...
---
Code
str(data_partition(iris, proportion = c(0.2, 0.5), by = "Species", seed = 123))
Output
List of 3
$ p_0.2:'data.frame': 30 obs. of 6 variables:
..$ Sepal.Length: num [1:30] 4.7 4.3 5.8 4.8 5 4.8 5.5 4.5 4.4 4.6 ...
..$ Sepal.Width : num [1:30] 3.2 3 4 3.4 3 3.1 3.5 2.3 3.2 3.2 ...
..$ Petal.Length: num [1:30] 1.3 1.1 1.2 1.9 1.6 1.6 1.3 1.3 1.3 1.4 ...
..$ Petal.Width : num [1:30] 0.2 0.1 0.2 0.2 0.2 0.2 0.2 0.3 0.2 0.2 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:30] 3 14 15 25 26 31 37 42 43 48 ...
$ p_0.5:'data.frame': 75 obs. of 6 variables:
..$ Sepal.Length: num [1:75] 5 5.4 5 4.4 4.9 5.4 4.8 4.8 5.7 5.4 ...
..$ Sepal.Width : num [1:75] 3.6 3.9 3.4 2.9 3.1 3.7 3.4 3 4.4 3.9 ...
..$ Petal.Length: num [1:75] 1.4 1.7 1.5 1.4 1.5 1.5 1.6 1.4 1.5 1.3 ...
..$ Petal.Width : num [1:75] 0.2 0.4 0.2 0.2 0.1 0.2 0.2 0.1 0.4 0.4 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:75] 5 6 8 9 10 11 12 13 16 17 ...
$ test :'data.frame': 45 obs. of 6 variables:
..$ Sepal.Length: num [1:45] 5.1 4.9 4.6 4.6 5.7 5.4 4.6 5 5.2 4.7 ...
..$ Sepal.Width : num [1:45] 3.5 3 3.1 3.4 3.8 3.4 3.6 3.4 3.5 3.2 ...
..$ Petal.Length: num [1:45] 1.4 1.4 1.5 1.4 1.7 1.7 1 1.6 1.5 1.6 ...
..$ Petal.Width : num [1:45] 0.2 0.2 0.2 0.3 0.3 0.2 0.2 0.4 0.2 0.2 ...
..$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ .row_id : int [1:45] 1 2 4 7 19 21 23 27 28 30 ...
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