data_partition.md
In datawizard: Easy Data Wrangling and Statistical Transformations

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, group = "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), group = "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 ...