Function for creating dataset with given random values for specified variables
Source:R/dsR.R
dsR.RdFunction for creating dataset with given random values for specified variables
Arguments
- vr
Array of variables with types for creating a data frame.
- nr
Number of rows for given dataframe!
Examples
dsR(vr="ms:3;bi:4;ii:1", nr=100);
#>
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#> The following objects are masked from ‘package:base’:
#>
#> intersect, setdiff, setequal, union
#> ms_1 ms_2 ms_3 bi_1 bi_2 bi_3 bi_4 ii_1
#> 1 20123 102023 Tokyo 1 1 No 1 614
#> 2 54903 3502 Antananarivo 1 0 No 1 589
#> 3 20123 3502 Tokyo 1 1 Yes 1 17
#> 4 102023 102023 Ljubljana 1 1 No 0 562
#> 5 3502 3502 Ljubljana 1 0 No 0 199
#> 6 3502 54903 Seattle 0 0 No 1 731
#> 7 20123 20123 Taipeh 0 1 No 0 743
#> 8 54903 102023 Seattle 0 1 Yes 0 953
#> 9 102023 20123 Antananarivo 1 1 Yes 0 158
#> 10 102023 20123 Taipeh 1 0 Yes 0 392
#> 11 54903 54903 Ljubljana 1 0 No 1 156
#> 12 102023 102023 Windhoek 1 0 No 0 975
#> 13 1000 1000 Seattle 1 1 No 0 529
#> 14 1000 20123 Taipeh 0 1 Yes 1 159
#> 15 20123 1000 Ljubljana 0 1 Yes 1 77
#> 16 54903 20123 Seattle 0 0 No 0 581
#> 17 20123 54903 Taipeh 0 1 Yes 1 760
#> 18 3502 102023 Antananarivo 1 0 No 1 452
#> 19 102023 1000 Asuncion 0 0 Yes 1 171
#> 20 20123 1000 Asuncion 1 0 No 0 31
#> 21 20123 54903 Ljubljana 0 0 No 1 915
#> 22 3502 54903 Taipeh 0 1 Yes 0 756
#> 23 102023 102023 Antananarivo 0 0 No 0 803
#> 24 102023 54903 Antananarivo 1 0 Yes 1 262
#> 25 1000 1000 Antananarivo 1 1 No 1 472
#> 26 1000 20123 Taipeh 1 0 No 0 690
#> 27 102023 102023 Windhoek 0 0 No 0 633
#> 28 20123 20123 Seattle 0 1 No 1 976
#> 29 3502 102023 Tokyo 0 1 No 0 338
#> 30 54903 1000 Taipeh 0 0 Yes 0 280
#> 31 1000 102023 Ljubljana 1 1 No 1 383
#> 32 102023 1000 Asuncion 1 1 Yes 0 391
#> 33 3502 3502 Windhoek 1 0 No 0 451
#> 34 102023 1000 Windhoek 1 0 No 1 388
#> 35 1000 54903 Taipeh 0 0 No 0 660
#> 36 1000 20123 Windhoek 0 1 No 0 907
#> 37 54903 1000 Taipeh 1 0 No 0 390
#> 38 1000 20123 Windhoek 0 1 No 1 871
#> 39 54903 54903 Canberra 0 0 No 0 589
#> 40 20123 3502 Antananarivo 1 1 Yes 0 274
#> 41 102023 20123 Antananarivo 0 1 No 0 889
#> 42 3502 102023 Antananarivo 1 1 Yes 0 370
#> 43 3502 54903 Taipeh 1 0 No 1 255
#> 44 3502 54903 Windhoek 0 0 Yes 1 953
#> 45 102023 54903 Asuncion 1 1 No 1 724
#> 46 54903 54903 Canberra 1 1 No 1 214
#> 47 1000 54903 Taipeh 1 0 Yes 1 966
#> 48 3502 102023 Taipeh 0 1 Yes 1 154
#> 49 102023 54903 Asuncion 1 1 No 0 75
#> 50 102023 54903 Seattle 1 1 Yes 0 684
#> 51 54903 102023 Asuncion 0 1 Yes 1 390
#> 52 54903 54903 Windhoek 0 0 No 1 248
#> 53 54903 102023 Tokyo 0 0 No 0 583
#> 54 54903 102023 Taipeh 0 1 No 0 483
#> 55 20123 20123 Antananarivo 1 1 No 0 444
#> 56 3502 102023 Antananarivo 1 1 Yes 1 328
#> 57 1000 54903 Seattle 1 1 Yes 1 932
#> 58 1000 102023 Asuncion 1 1 No 0 950
#> 59 1000 102023 Ljubljana 0 1 Yes 0 328
#> 60 54903 54903 Asuncion 0 1 Yes 0 71
#> 61 54903 1000 Ljubljana 1 1 Yes 0 19
#> 62 1000 3502 Ljubljana 0 0 No 0 483
#> 63 102023 1000 Ljubljana 0 1 Yes 0 906
#> 64 102023 3502 Tokyo 1 1 No 1 271
#> 65 1000 102023 Ljubljana 1 1 No 0 508
#> 66 54903 102023 Taipeh 1 0 Yes 0 604
#> 67 20123 54903 Ljubljana 1 0 Yes 1 903
#> 68 54903 1000 Antananarivo 0 0 No 1 948
#> 69 1000 20123 Asuncion 1 0 No 1 836
#> 70 102023 20123 Taipeh 1 1 Yes 1 517
#> 71 20123 1000 Seattle 0 0 No 0 603
#> 72 54903 1000 Tokyo 1 1 Yes 1 627
#> 73 102023 54903 Asuncion 1 0 Yes 1 593
#> 74 102023 1000 Asuncion 1 1 Yes 1 355
#> 75 1000 1000 Ljubljana 1 0 Yes 1 397
#> 76 54903 1000 Antananarivo 0 0 No 1 393
#> 77 102023 102023 Windhoek 0 0 No 1 700
#> 78 1000 20123 Tokyo 0 0 No 1 186
#> 79 102023 102023 Tokyo 1 0 No 0 140
#> 80 1000 20123 Canberra 0 0 Yes 1 649
#> 81 20123 20123 Asuncion 1 1 No 1 743
#> 82 102023 102023 Tokyo 0 0 No 1 21
#> 83 54903 54903 Ljubljana 1 1 Yes 1 660
#> 84 102023 20123 Asuncion 1 1 Yes 1 740
#> 85 3502 20123 Antananarivo 0 1 No 0 894
#> 86 54903 102023 Windhoek 1 1 No 0 904
#> 87 3502 3502 Asuncion 0 0 Yes 1 900
#> 88 20123 1000 Tokyo 1 1 Yes 0 237
#> 89 3502 102023 Tokyo 1 0 No 0 648
#> 90 1000 20123 Antananarivo 0 0 Yes 1 182
#> 91 102023 20123 Antananarivo 0 1 Yes 1 531
#> 92 1000 102023 Windhoek 1 1 No 1 198
#> 93 54903 54903 Antananarivo 0 0 No 0 597
#> 94 54903 102023 Asuncion 0 1 Yes 0 799
#> 95 102023 54903 Windhoek 0 0 No 0 763
#> 96 20123 1000 Antananarivo 0 0 Yes 1 102
#> 97 20123 3502 Ljubljana 0 0 No 0 432
#> 98 3502 1000 Canberra 0 1 No 0 643
#> 99 3502 20123 Taipeh 1 1 No 0 435
#> 100 20123 1000 Taipeh 1 1 Yes 0 204