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

Value

Resampled data.frame of profiles

Examples

replicate_profiles(profiles=data.frame(id=1:100,age=rnorm(100,60,5)),
replications=200,probabilities=rep(1,100))
#>      id      age
#> 1    53 64.86068
#> 2    96 62.27801
#> 3    86 61.77975
#> 4     8 63.36101
#> 5    78 59.96021
#> 6     9 55.86871
#> 7    15 59.97309
#> 8    82 52.78938
#> 9    57 56.50847
#> 10   75 52.14863
#> 11   36 48.52603
#> 12  100 51.41564
#> 13   42 57.02326
#> 14   38 57.34284
#> 15   67 50.33553
#> 16   16 53.20849
#> 17   70 56.81184
#> 18   87 58.20143
#> 19   85 60.81049
#> 20   90 50.19041
#> 21   25 64.14152
#> 22   59 72.31685
#> 23   91 64.72991
#> 24   36 48.52603
#> 25   78 59.96021
#> 26   75 52.14863
#> 27   87 58.20143
#> 28   99 60.63920
#> 29   13 65.05859
#> 30   99 60.63920
#> 31   66 61.97664
#> 32    7 51.15308
#> 33   49 55.66449
#> 34   31 61.91994
#> 35   63 56.73663
#> 36   14 58.42614
#> 37   64 59.26415
#> 38   73 63.03659
#> 39   63 56.73663
#> 40    5 58.49860
#> 41   68 65.27251
#> 42   67 50.33553
#> 43   47 58.48647
#> 44   53 64.86068
#> 45   69 55.89510
#> 46   90 50.19041
#> 47   75 52.14863
#> 48   41 63.37635
#> 49   45 56.95071
#> 50   16 53.20849
#> 51   47 58.48647
#> 52   59 72.31685
#> 53    9 55.86871
#> 54   76 61.56420
#> 55   56 58.65257
#> 56   65 53.62949
#> 57   15 59.97309
#> 58   95 65.19766
#> 59   67 50.33553
#> 60   54 61.29451
#> 61   24 69.29332
#> 62  100 51.41564
#> 63   12 58.25723
#> 64    8 63.36101
#> 65   79 68.63516
#> 66   67 50.33553
#> 67   27 63.00026
#> 68   93 57.11267
#> 69   16 53.20849
#> 70   66 61.97664
#> 71   22 60.02838
#> 72   76 61.56420
#> 73   86 61.77975
#> 74   87 58.20143
#> 75   82 52.78938
#> 76    4 63.02939
#> 77   81 58.20827
#> 78   90 50.19041
#> 79   62 66.24378
#> 80   45 56.95071
#> 81   94 53.85858
#> 82   63 56.73663
#> 83   45 56.95071
#> 84   91 64.72991
#> 85   78 59.96021
#> 86   14 58.42614
#> 87   55 66.03735
#> 88   14 58.42614
#> 89   53 64.86068
#> 90   56 58.65257
#> 91   26 65.99518
#> 92   82 52.78938
#> 93   96 62.27801
#> 94   42 57.02326
#> 95   53 64.86068
#> 96  100 51.41564
#> 97   37 56.84227
#> 98   47 58.48647
#> 99   24 69.29332
#> 100  10 58.54052
#> 101  38 57.34284
#> 102  14 58.42614
#> 103  75 52.14863
#> 104  97 48.10037
#> 105  68 65.27251
#> 106  48 67.08641
#> 107  55 66.03735
#> 108  35 57.92750
#> 109  64 59.26415
#> 110  47 58.48647
#> 111  90 50.19041
#> 112  80 70.43234
#> 113  15 59.97309
#> 114  30 59.36833
#> 115  72 52.91797
#> 116  46 65.21969
#> 117  69 55.89510
#> 118  72 52.91797
#> 119   8 63.36101
#> 120  97 48.10037
#> 121  26 65.99518
#> 122  94 53.85858
#> 123  52 61.88323
#> 124  95 65.19766
#> 125  45 56.95071
#> 126  37 56.84227
#> 127  49 55.66449
#> 128  98 62.98783
#> 129  31 61.91994
#> 130  31 61.91994
#> 131  87 58.20143
#> 132  21 67.92249
#> 133  82 52.78938
#> 134  38 57.34284
#> 135  27 63.00026
#> 136  87 58.20143
#> 137  15 59.97309
#> 138  81 58.20827
#> 139  37 56.84227
#> 140  98 62.98783
#> 141  13 65.05859
#> 142  47 58.48647
#> 143  54 61.29451
#> 144  85 60.81049
#> 145   5 58.49860
#> 146   6 65.05246
#> 147  81 58.20827
#> 148  22 60.02838
#> 149   8 63.36101
#> 150  88 59.45687
#> 151   9 55.86871
#> 152  45 56.95071
#> 153  99 60.63920
#> 154  59 72.31685
#> 155  77 63.26339
#> 156  26 65.99518
#> 157  64 59.26415
#> 158  18 54.00308
#> 159  46 65.21969
#> 160  18 54.00308
#> 161  13 65.05859
#> 162  38 57.34284
#> 163  96 62.27801
#> 164  89 69.13893
#> 165  28 60.29380
#> 166  67 50.33553
#> 167  14 58.42614
#> 168  33 61.11303
#> 169  64 59.26415
#> 170  46 65.21969
#> 171  72 52.91797
#> 172  91 64.72991
#> 173  12 58.25723
#> 174  65 53.62949
#> 175  86 61.77975
#> 176  38 57.34284
#> 177  64 59.26415
#> 178  48 67.08641
#> 179  18 54.00308
#> 180  53 64.86068
#> 181  16 53.20849
#> 182  67 50.33553
#> 183  17 67.86464
#> 184  52 61.88323
#> 185  10 58.54052
#> 186  52 61.88323
#> 187   5 58.49860
#> 188  84 60.45348
#> 189  30 59.36833
#> 190  26 65.99518
#> 191  41 63.37635
#> 192  65 53.62949
#> 193  96 62.27801
#> 194  36 48.52603
#> 195  64 59.26415
#> 196  84 60.45348
#> 197  16 53.20849
#> 198  98 62.98783
#> 199  10 58.54052
#> 200  26 65.99518