Given some samples it distribute them in several batches, trying to have equal number of samples per batch. It can handle both numeric and categorical data.
Arguments
- pheno
Data.frame with the sample information.
- size_subset
Numeric value of the number of sample per batch.
- omit
Name of the columns of the
phenothat will be omitted.- iterations
Numeric value of iterations that will be performed.
- name
A character used to name the subsets, either a single one or a vector the same size as
n.
See also
The evaluate_* functions and create_subset().
Examples
data(survey, package = "MASS")
index <- design(survey[, c("Sex", "Smoke", "Age")], size_subset = 50,
iterations = 10)
#> Warning: There might be some problems with the data use check_data().
index
#> $SubSet1
#> [1] 1 7 8 10 14 15 17 24 52 60 63 65 68 69 78 81 83 84 86
#> [20] 91 92 97 100 111 119 120 125 129 131 152 161 165 167 173 177 179 190 191
#> [39] 199 200 208 218 220 229 234 235 236 237
#>
#> $SubSet2
#> [1] 18 31 33 43 48 50 55 61 64 71 90 94 95 102 107 114 115 123 128
#> [20] 133 136 137 145 147 148 149 150 159 162 164 168 169 170 176 180 189 198 201
#> [39] 203 205 206 211 212 221 223 225 226 232
#>
#> $SubSet3
#> [1] 6 12 13 16 20 26 28 32 34 35 36 38 45 47 56 70 74 79 87
#> [20] 89 96 99 104 105 106 108 112 113 116 126 127 130 132 135 142 153 154 157
#> [39] 178 183 186 196 204 215 219 222 227
#>
#> $SubSet4
#> [1] 4 5 11 21 25 30 39 41 44 46 51 58 67 72 73 75 76 82 85
#> [20] 88 93 109 110 117 121 138 141 144 155 158 166 172 181 182 184 185 188 194
#> [39] 202 209 213 214 216 217 228 230 233
#>
#> $SubSet5
#> [1] 2 3 9 19 22 23 27 29 37 40 42 49 53 54 57 59 62 66 77
#> [20] 80 98 101 103 118 122 124 134 139 140 143 146 151 156 160 163 171 174 175
#> [39] 187 192 193 195 197 207 210 224 231
#>