Replicate profiles data.frame
Usage
replicate_profiles(
profiles,
replications,
probabilities = NULL,
replacement = TRUE,
seed_used = NULL
)
Arguments
- profiles
data.frame of profiles
- replications
integer, final number of observations
- probabilities
vector of probabilities with the same length as the number of rows of profiles. Does not need to add up to 1 (are reweighted)
- replacement
Boolean whether replacement is used
- seed_used
Integer with the seed to be used for consistent results
Examples
replicate_profiles(profiles=data.frame(id=1:100,age=rnorm(100,60,5)),
replications=200,probabilities=rep(1,100))
#> id age
#> 1 8 64.83631
#> 2 73 62.26069
#> 3 29 53.68152
#> 4 34 59.03215
#> 5 40 58.75732
#> 6 35 59.98832
#> 7 11 49.96088
#> 8 60 65.65392
#> 9 77 62.87178
#> 10 53 64.31948
#> 11 29 53.68152
#> 12 46 58.75759
#> 13 91 53.22700
#> 14 94 61.25549
#> 15 54 57.44199
#> 16 78 58.84650
#> 17 78 58.84650
#> 18 85 57.75288
#> 19 96 64.22396
#> 20 44 49.14877
#> 21 62 56.72692
#> 22 24 59.59665
#> 23 87 57.13262
#> 24 94 61.25549
#> 25 60 65.65392
#> 26 67 63.73726
#> 27 8 64.83631
#> 28 26 60.26786
#> 29 52 51.88512
#> 30 53 64.31948
#> 31 78 58.84650
#> 32 28 51.31351
#> 33 70 55.53916
#> 34 57 61.22590
#> 35 45 65.13502
#> 36 88 50.35937
#> 37 13 59.63312
#> 38 33 53.26785
#> 39 76 62.32756
#> 40 56 50.67093
#> 41 19 50.08495
#> 42 70 55.53916
#> 43 12 62.70487
#> 44 30 62.03154
#> 45 74 61.84000
#> 46 6 62.93858
#> 47 12 62.70487
#> 48 43 67.68706
#> 49 61 64.19335
#> 50 21 65.22638
#> 51 52 51.88512
#> 52 84 55.43344
#> 53 11 49.96088
#> 54 49 64.17784
#> 55 90 51.98730
#> 56 45 65.13502
#> 57 29 53.68152
#> 58 7 60.44821
#> 59 90 51.98730
#> 60 16 56.64292
#> 61 33 53.26785
#> 62 70 55.53916
#> 63 30 62.03154
#> 64 44 49.14877
#> 65 50 56.69739
#> 66 26 60.26786
#> 67 38 62.99256
#> 68 8 64.83631
#> 69 38 62.99256
#> 70 100 66.51682
#> 71 21 65.22638
#> 72 89 63.32195
#> 73 13 59.63312
#> 74 21 65.22638
#> 75 75 58.64806
#> 76 29 53.68152
#> 77 23 60.01303
#> 78 60 65.65392
#> 79 10 52.15650
#> 80 49 64.17784
#> 81 32 65.24229
#> 82 91 53.22700
#> 83 23 60.01303
#> 84 54 57.44199
#> 85 3 52.37253
#> 86 54 57.44199
#> 87 40 58.75732
#> 88 2 67.46406
#> 89 58 71.11767
#> 90 46 58.75759
#> 91 63 64.76980
#> 92 7 60.44821
#> 93 67 63.73726
#> 94 34 59.03215
#> 95 17 59.21330
#> 96 23 60.01303
#> 97 39 59.36894
#> 98 69 61.97612
#> 99 17 59.21330
#> 100 42 57.83179
#> 101 28 51.31351
#> 102 36 59.93585
#> 103 13 59.63312
#> 104 31 52.70173
#> 105 15 58.44466
#> 106 47 62.11160
#> 107 75 58.64806
#> 108 7 60.44821
#> 109 41 60.80164
#> 110 86 64.01466
#> 111 41 60.80164
#> 112 47 62.11160
#> 113 97 59.79014
#> 114 79 65.86121
#> 115 49 64.17784
#> 116 100 66.51682
#> 117 31 52.70173
#> 118 20 58.90200
#> 119 79 65.86121
#> 120 89 63.32195
#> 121 33 53.26785
#> 122 93 64.15619
#> 123 93 64.15619
#> 124 82 56.11315
#> 125 37 60.75974
#> 126 69 61.97612
#> 127 28 51.31351
#> 128 97 59.79014
#> 129 14 57.14491
#> 130 34 59.03215
#> 131 64 61.76476
#> 132 26 60.26786
#> 133 94 61.25549
#> 134 61 64.19335
#> 135 38 62.99256
#> 136 62 56.72692
#> 137 62 56.72692
#> 138 90 51.98730
#> 139 65 61.03300
#> 140 88 50.35937
#> 141 94 61.25549
#> 142 58 71.11767
#> 143 76 62.32756
#> 144 41 60.80164
#> 145 16 56.64292
#> 146 96 64.22396
#> 147 26 60.26786
#> 148 4 64.55359
#> 149 24 59.59665
#> 150 25 64.81491
#> 151 57 61.22590
#> 152 68 56.86713
#> 153 51 67.82035
#> 154 13 59.63312
#> 155 66 65.00557
#> 156 64 61.76476
#> 157 27 57.82551
#> 158 25 64.81491
#> 159 37 60.75974
#> 160 32 65.24229
#> 161 79 65.86121
#> 162 24 59.59665
#> 163 48 64.93827
#> 164 85 57.75288
#> 165 27 57.82551
#> 166 48 64.93827
#> 167 85 57.75288
#> 168 35 59.98832
#> 169 52 51.88512
#> 170 79 65.86121
#> 171 19 50.08495
#> 172 1 61.50527
#> 173 97 59.79014
#> 174 53 64.31948
#> 175 14 57.14491
#> 176 58 71.11767
#> 177 5 52.10234
#> 178 97 59.79014
#> 179 3 52.37253
#> 180 59 61.36688
#> 181 76 62.32756
#> 182 20 58.90200
#> 183 31 52.70173
#> 184 46 58.75759
#> 185 41 60.80164
#> 186 67 63.73726
#> 187 63 64.76980
#> 188 74 61.84000
#> 189 34 59.03215
#> 190 16 56.64292
#> 191 7 60.44821
#> 192 97 59.79014
#> 193 4 64.55359
#> 194 94 61.25549
#> 195 38 62.99256
#> 196 71 63.15409
#> 197 58 71.11767
#> 198 30 62.03154
#> 199 3 52.37253
#> 200 44 49.14877