Sample data
Examples
dsR(vr="ms:3;bi:4;ii:1", nr=100);
#> ms_1 ms_2 ms_3 bi_1 bi_2 bi_3 bi_4 ii_1
#> 1 Asia Windhoek Antarctica 0 0 No 1 18237
#> 2 Antarctica Seattle Africa 1 1 Yes 1 12206
#> 3 Australia Asuncion America 1 1 Yes 1 17667
#> 4 Australia Antananarivo Africa 0 0 Yes 1 10997
#> 5 Antarctica Taipeh Antarctica 0 1 No 0 11731
#> 6 Africa Antananarivo America 0 0 Yes 1 16515
#> 7 Africa Tokyo America 1 1 No 1 16450
#> 8 Australia Antananarivo Europe 0 0 No 0 10932
#> 9 Australia Seattle Australia 1 1 No 0 9267
#> 10 Australia Antananarivo America 1 1 No 1 17411
#> 11 Asia Tokyo Australia 0 0 No 1 12959
#> 12 Africa Canberra Europe 0 1 Yes 0 19216
#> 13 Africa Ljubljana Australia 0 0 Yes 0 11007
#> 14 Asia Seattle Europe 1 0 Yes 1 19929
#> 15 Antarctica Ljubljana Antarctica 0 1 Yes 0 13610
#> 16 Europe Taipeh America 1 1 Yes 1 9843
#> 17 America Canberra Asia 1 0 Yes 0 17059
#> 18 Asia Canberra Africa 1 0 No 0 10817
#> 19 Antarctica Canberra Australia 1 1 No 0 18076
#> 20 Europe Antananarivo America 1 1 Yes 1 13482
#> 21 Antarctica Canberra America 0 1 No 0 16821
#> 22 Europe Canberra Australia 1 1 No 0 12786
#> 23 America Taipeh America 0 1 No 0 11427
#> 24 America Windhoek Europe 0 1 No 0 12731
#> 25 Antarctica Asuncion Africa 1 1 No 0 10197
#> 26 Antarctica Antananarivo Australia 1 1 No 0 13724
#> 27 America Seattle Africa 0 1 Yes 0 15935
#> 28 Europe Tokyo Australia 1 0 Yes 1 11353
#> 29 America Windhoek Europe 0 1 No 0 13764
#> 30 Asia Seattle Australia 0 0 Yes 0 18360
#> 31 Africa Canberra Asia 1 0 Yes 1 11857
#> 32 Africa Seattle Antarctica 0 0 Yes 0 10120
#> 33 Antarctica Taipeh America 1 0 Yes 0 10873
#> 34 Australia Asuncion Asia 1 1 Yes 0 9782
#> 35 Antarctica Antananarivo Australia 1 1 No 0 17532
#> 36 Europe Canberra Europe 1 1 No 0 17162
#> 37 Australia Ljubljana Asia 0 1 No 1 19026
#> 38 Antarctica Canberra Asia 1 1 No 0 12289
#> 39 Europe Seattle Europe 1 1 Yes 1 14704
#> 40 Antarctica Canberra America 0 1 No 0 9149
#> 41 Australia Windhoek Antarctica 1 1 Yes 1 11662
#> 42 Antarctica Asuncion America 1 1 No 0 11995
#> 43 America Windhoek America 0 1 No 1 11720
#> 44 Antarctica Ljubljana Europe 0 0 No 0 17347
#> 45 Asia Windhoek Asia 1 1 No 0 10369
#> 46 Europe Tokyo Antarctica 1 1 Yes 1 9039
#> 47 Asia Ljubljana Australia 1 0 No 1 18016
#> 48 Australia Tokyo Asia 0 1 Yes 1 11137
#> 49 Africa Seattle America 0 0 No 0 10930
#> 50 Africa Windhoek Antarctica 0 0 No 0 12232
#> 51 America Antananarivo Africa 0 1 No 1 17595
#> 52 Europe Taipeh Australia 0 0 Yes 0 18683
#> 53 Australia Windhoek America 1 0 No 0 10673
#> 54 Europe Tokyo Australia 1 1 Yes 1 11944
#> 55 Africa Ljubljana Australia 0 0 No 0 19064
#> 56 Europe Asuncion Asia 0 0 No 1 15092
#> 57 Antarctica Antananarivo America 0 0 No 0 19975
#> 58 Antarctica Antananarivo Europe 0 1 No 1 18670
#> 59 Asia Windhoek Asia 0 0 No 1 15635
#> 60 Antarctica Canberra Antarctica 0 1 Yes 0 15898
#> 61 Africa Windhoek Asia 1 1 Yes 1 12800
#> 62 Antarctica Taipeh Europe 1 1 Yes 1 18476
#> 63 Europe Windhoek America 1 0 Yes 1 15366
#> 64 Antarctica Seattle Africa 1 1 No 1 9911
#> 65 Antarctica Taipeh Asia 1 1 Yes 1 10779
#> 66 Antarctica Antananarivo Antarctica 0 0 No 0 15291
#> 67 Asia Asuncion Asia 1 0 Yes 1 15942
#> 68 Antarctica Ljubljana Australia 0 1 No 1 11761
#> 69 Asia Seattle Antarctica 1 0 Yes 0 18263
#> 70 Antarctica Taipeh Antarctica 0 1 Yes 1 13135
#> 71 Asia Canberra Asia 0 1 No 0 16689
#> 72 America Taipeh Europe 1 0 Yes 0 17302
#> 73 Europe Taipeh Australia 1 0 No 0 19341
#> 74 Africa Seattle Europe 1 0 Yes 0 18311
#> 75 Antarctica Taipeh Asia 1 0 Yes 1 10628
#> 76 Australia Tokyo Europe 0 1 No 1 13783
#> 77 Asia Windhoek Europe 0 0 No 0 12207
#> 78 America Canberra Asia 0 0 No 0 10256
#> 79 Antarctica Asuncion Africa 1 0 Yes 0 10972
#> 80 Antarctica Tokyo Europe 1 0 No 1 15544
#> 81 Australia Canberra Antarctica 0 0 Yes 1 11260
#> 82 Australia Seattle Africa 1 1 No 1 19355
#> 83 Europe Tokyo Australia 0 1 Yes 0 10647
#> 84 Australia Asuncion Asia 1 1 Yes 0 10280
#> 85 Africa Antananarivo Australia 1 0 Yes 1 12568
#> 86 America Tokyo Antarctica 1 0 Yes 1 15705
#> 87 America Tokyo America 0 0 No 0 16358
#> 88 Australia Windhoek Asia 1 0 No 0 15259
#> 89 America Canberra Australia 0 1 No 0 18385
#> 90 Asia Antananarivo America 1 1 No 1 13541
#> 91 America Windhoek America 0 1 Yes 0 19885
#> 92 Asia Taipeh Europe 0 0 No 1 18737
#> 93 Africa Ljubljana Australia 1 0 No 0 10197
#> 94 America Seattle Africa 1 1 Yes 0 14499
#> 95 Australia Canberra Asia 1 0 Yes 0 13816
#> 96 Africa Taipeh Antarctica 0 1 No 1 19014
#> 97 Africa Asuncion America 0 1 No 0 14993
#> 98 Europe Ljubljana America 1 1 Yes 0 17337
#> 99 America Windhoek Europe 0 1 No 0 12926
#> 100 Asia Taipeh Asia 1 1 No 1 9777