apply column split text and provides 2 result column. Column provided as character
Arguments
- inputData
data frame to split
- column
column that split will be applied
- splitby
keyword to used as split; ex. '.'
Examples
split(iris, column = 'Sepal.Length', splitby = '.')
#> Sepal.LengthA Sepal.LengthB Sepal.Width Petal.Length Petal.Width Species
#> 1 5 1 3.5 1.4 0.2 setosa
#> 2 4 9 3.0 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 <NA> 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 <NA> 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
#> 11 5 4 3.7 1.5 0.2 setosa
#> 12 4 8 3.4 1.6 0.2 setosa
#> 13 4 8 3.0 1.4 0.1 setosa
#> 14 4 3 3.0 1.1 0.1 setosa
#> 15 5 8 4.0 1.2 0.2 setosa
#> 16 5 7 4.4 1.5 0.4 setosa
#> 17 5 4 3.9 1.3 0.4 setosa
#> 18 5 1 3.5 1.4 0.3 setosa
#> 19 5 7 3.8 1.7 0.3 setosa
#> 20 5 1 3.8 1.5 0.3 setosa
#> 21 5 4 3.4 1.7 0.2 setosa
#> 22 5 1 3.7 1.5 0.4 setosa
#> 23 4 6 3.6 1.0 0.2 setosa
#> 24 5 1 3.3 1.7 0.5 setosa
#> 25 4 8 3.4 1.9 0.2 setosa
#> 26 5 <NA> 3.0 1.6 0.2 setosa
#> 27 5 <NA> 3.4 1.6 0.4 setosa
#> 28 5 2 3.5 1.5 0.2 setosa
#> 29 5 2 3.4 1.4 0.2 setosa
#> 30 4 7 3.2 1.6 0.2 setosa
#> 31 4 8 3.1 1.6 0.2 setosa
#> 32 5 4 3.4 1.5 0.4 setosa
#> 33 5 2 4.1 1.5 0.1 setosa
#> 34 5 5 4.2 1.4 0.2 setosa
#> 35 4 9 3.1 1.5 0.2 setosa
#> 36 5 <NA> 3.2 1.2 0.2 setosa
#> 37 5 5 3.5 1.3 0.2 setosa
#> 38 4 9 3.6 1.4 0.1 setosa
#> 39 4 4 3.0 1.3 0.2 setosa
#> 40 5 1 3.4 1.5 0.2 setosa
#> 41 5 <NA> 3.5 1.3 0.3 setosa
#> 42 4 5 2.3 1.3 0.3 setosa
#> 43 4 4 3.2 1.3 0.2 setosa
#> 44 5 <NA> 3.5 1.6 0.6 setosa
#> 45 5 1 3.8 1.9 0.4 setosa
#> 46 4 8 3.0 1.4 0.3 setosa
#> 47 5 1 3.8 1.6 0.2 setosa
#> 48 4 6 3.2 1.4 0.2 setosa
#> 49 5 3 3.7 1.5 0.2 setosa
#> 50 5 <NA> 3.3 1.4 0.2 setosa
#> 51 7 <NA> 3.2 4.7 1.4 versicolor
#> 52 6 4 3.2 4.5 1.5 versicolor
#> 53 6 9 3.1 4.9 1.5 versicolor
#> 54 5 5 2.3 4.0 1.3 versicolor
#> 55 6 5 2.8 4.6 1.5 versicolor
#> 56 5 7 2.8 4.5 1.3 versicolor
#> 57 6 3 3.3 4.7 1.6 versicolor
#> 58 4 9 2.4 3.3 1.0 versicolor
#> 59 6 6 2.9 4.6 1.3 versicolor
#> 60 5 2 2.7 3.9 1.4 versicolor
#> 61 5 <NA> 2.0 3.5 1.0 versicolor
#> 62 5 9 3.0 4.2 1.5 versicolor
#> 63 6 <NA> 2.2 4.0 1.0 versicolor
#> 64 6 1 2.9 4.7 1.4 versicolor
#> 65 5 6 2.9 3.6 1.3 versicolor
#> 66 6 7 3.1 4.4 1.4 versicolor
#> 67 5 6 3.0 4.5 1.5 versicolor
#> 68 5 8 2.7 4.1 1.0 versicolor
#> 69 6 2 2.2 4.5 1.5 versicolor
#> 70 5 6 2.5 3.9 1.1 versicolor
#> 71 5 9 3.2 4.8 1.8 versicolor
#> 72 6 1 2.8 4.0 1.3 versicolor
#> 73 6 3 2.5 4.9 1.5 versicolor
#> 74 6 1 2.8 4.7 1.2 versicolor
#> 75 6 4 2.9 4.3 1.3 versicolor
#> 76 6 6 3.0 4.4 1.4 versicolor
#> 77 6 8 2.8 4.8 1.4 versicolor
#> 78 6 7 3.0 5.0 1.7 versicolor
#> 79 6 <NA> 2.9 4.5 1.5 versicolor
#> 80 5 7 2.6 3.5 1.0 versicolor
#> 81 5 5 2.4 3.8 1.1 versicolor
#> 82 5 5 2.4 3.7 1.0 versicolor
#> 83 5 8 2.7 3.9 1.2 versicolor
#> 84 6 <NA> 2.7 5.1 1.6 versicolor
#> 85 5 4 3.0 4.5 1.5 versicolor
#> 86 6 <NA> 3.4 4.5 1.6 versicolor
#> 87 6 7 3.1 4.7 1.5 versicolor
#> 88 6 3 2.3 4.4 1.3 versicolor
#> 89 5 6 3.0 4.1 1.3 versicolor
#> 90 5 5 2.5 4.0 1.3 versicolor
#> 91 5 5 2.6 4.4 1.2 versicolor
#> 92 6 1 3.0 4.6 1.4 versicolor
#> 93 5 8 2.6 4.0 1.2 versicolor
#> 94 5 <NA> 2.3 3.3 1.0 versicolor
#> 95 5 6 2.7 4.2 1.3 versicolor
#> 96 5 7 3.0 4.2 1.2 versicolor
#> 97 5 7 2.9 4.2 1.3 versicolor
#> 98 6 2 2.9 4.3 1.3 versicolor
#> 99 5 1 2.5 3.0 1.1 versicolor
#> 100 5 7 2.8 4.1 1.3 versicolor
#> 101 6 3 3.3 6.0 2.5 virginica
#> 102 5 8 2.7 5.1 1.9 virginica
#> 103 7 1 3.0 5.9 2.1 virginica
#> 104 6 3 2.9 5.6 1.8 virginica
#> 105 6 5 3.0 5.8 2.2 virginica
#> 106 7 6 3.0 6.6 2.1 virginica
#> 107 4 9 2.5 4.5 1.7 virginica
#> 108 7 3 2.9 6.3 1.8 virginica
#> 109 6 7 2.5 5.8 1.8 virginica
#> 110 7 2 3.6 6.1 2.5 virginica
#> 111 6 5 3.2 5.1 2.0 virginica
#> 112 6 4 2.7 5.3 1.9 virginica
#> 113 6 8 3.0 5.5 2.1 virginica
#> 114 5 7 2.5 5.0 2.0 virginica
#> 115 5 8 2.8 5.1 2.4 virginica
#> 116 6 4 3.2 5.3 2.3 virginica
#> 117 6 5 3.0 5.5 1.8 virginica
#> 118 7 7 3.8 6.7 2.2 virginica
#> 119 7 7 2.6 6.9 2.3 virginica
#> 120 6 <NA> 2.2 5.0 1.5 virginica
#> 121 6 9 3.2 5.7 2.3 virginica
#> 122 5 6 2.8 4.9 2.0 virginica
#> 123 7 7 2.8 6.7 2.0 virginica
#> 124 6 3 2.7 4.9 1.8 virginica
#> 125 6 7 3.3 5.7 2.1 virginica
#> 126 7 2 3.2 6.0 1.8 virginica
#> 127 6 2 2.8 4.8 1.8 virginica
#> 128 6 1 3.0 4.9 1.8 virginica
#> 129 6 4 2.8 5.6 2.1 virginica
#> 130 7 2 3.0 5.8 1.6 virginica
#> 131 7 4 2.8 6.1 1.9 virginica
#> 132 7 9 3.8 6.4 2.0 virginica
#> 133 6 4 2.8 5.6 2.2 virginica
#> 134 6 3 2.8 5.1 1.5 virginica
#> 135 6 1 2.6 5.6 1.4 virginica
#> 136 7 7 3.0 6.1 2.3 virginica
#> 137 6 3 3.4 5.6 2.4 virginica
#> 138 6 4 3.1 5.5 1.8 virginica
#> 139 6 <NA> 3.0 4.8 1.8 virginica
#> 140 6 9 3.1 5.4 2.1 virginica
#> 141 6 7 3.1 5.6 2.4 virginica
#> 142 6 9 3.1 5.1 2.3 virginica
#> 143 5 8 2.7 5.1 1.9 virginica
#> 144 6 8 3.2 5.9 2.3 virginica
#> 145 6 7 3.3 5.7 2.5 virginica
#> 146 6 7 3.0 5.2 2.3 virginica
#> 147 6 3 2.5 5.0 1.9 virginica
#> 148 6 5 3.0 5.2 2.0 virginica
#> 149 6 2 3.4 5.4 2.3 virginica
#> 150 5 9 3.0 5.1 1.8 virginica