tests/testthat/_snaps/draw_sample.md

I draw_sample_normal: check correct behaviour oh show

Code
  show(draw_sample_normal(k_groups = 2, f = 0.25, max_n = 30))
Output
               y x
  1  -2.30128979 1
  2   0.52773897 2
  3  -1.77596060 1
  4  -0.01916362 2
  5   0.98305388 1
  6   0.88360774 2
  7   0.10271746 1
  8  -0.31048248 2
  9  -1.37490028 1
  10 -0.62430362 2
  11 -0.20613838 1
  12 -0.33397514 2
  13 -1.07329858 1
  14  0.36059280 2
  15  0.11472778 1
  16  0.30370100 2
  17  1.11867235 1
  18 -0.13045724 2
  19 -0.95632036 1
  20  1.21687656 2
  21 -0.96016648 1
  22  0.19082635 2
  23 -0.48094342 1
  24  0.94200045 2
  25  1.10682290 1
  26  2.03872284 2
  27  0.16071582 1
  28 -1.93785470 2
  29 -0.95278946 1
  30  0.54986416 2
  31  0.89946968 1
  32 -0.05164149 2
  33 -0.79733935 1
  34 -0.13540415 2
  35  0.02637203 1
  36  0.40186081 2
  37 -0.68138079 1
  38 -1.62050006 2
  39 -0.17366674 1
  40  0.01964405 2
  41  0.06746484 1
  42 -1.34268440 2
  43 -0.43194062 1
  44  2.00614174 2
  45 -0.13605068 1
  46 -0.04216508 2
  47  1.50409316 1
  48  2.05958455 2
  49 -0.41706889 1
  50  1.49128597 2
  51  0.04010419 1
  52  0.19627645 2
  53 -0.17569522 1
  54  0.13560610 2
  55 -1.68381629 1
  56 -0.09207492 2
  57  0.18550459 1
  58  0.54297294 2
  59 -1.10981789 1
  60  1.30689333 2
Code
  show(draw_sample_normal(k_groups = 4, f = 1, sd = c(1, 0.8, 1, 1), max_n = 30))
Output
                y x
  1   -0.97359684 1
  2    1.14097958 2
  3   -1.12270522 3
  4   -2.65066851 4
  5    0.25476947 1
  6   -0.47805947 2
  7   -0.27788822 3
  8   -1.28471300 4
  9    0.28386638 1
  10  -0.34597016 2
  11  -0.14637930 3
  12   0.12857747 4
  13   1.87775659 1
  14   0.25154051 2
  15   0.96273137 3
  16  -0.59832287 4
  17  -0.17971706 1
  18  -1.18839393 2
  19   0.12479108 3
  20  -1.28483404 4
  21   1.17213816 1
  22   0.37554315 2
  23   0.63468484 3
  24  -2.85283746 4
  25   1.96726846 1
  26   0.18740073 2
  27   1.48936086 3
  28  -0.03880732 4
  29   0.60829762 1
  30  -0.07302225 2
  31   0.89495215 3
  32  -3.33728160 4
  33   0.98816642 1
  34   0.26442197 2
  35   0.38757643 3
  36  -1.00285665 4
  37   0.36527269 1
  38   1.66521636 2
  39   0.45412581 3
  40  -2.80828333 4
  41  -0.24377594 1
  42  -0.26936384 2
  43   0.01259100 3
  44  -1.35897923 4
  45   0.99194620 1
  46  -0.25056638 2
  47   0.43321193 3
  48  -1.89438506 4
  49   3.11603445 1
  50   0.34404012 2
  51   0.70812658 3
  52  -1.25336223 4
  53   1.66344305 1
  54   0.34051343 2
  55   0.69780345 3
  56  -1.04893182 4
  57  -0.21474052 1
  58  -0.89835710 2
  59   2.50661451 3
  60  -0.03909643 4
  61   0.97213776 1
  62   0.58175123 2
  63   1.02602495 3
  64  -1.23554496 4
  65   0.36100896 1
  66  -1.51871162 2
  67   0.01726798 3
  68  -1.36800653 4
  69  -1.43527725 1
  70   0.54598193 2
  71   0.79224568 3
  72  -0.85135106 4
  73   1.68370015 1
  74   1.92938614 2
  75   0.62847109 3
  76  -0.63367871 4
  77   0.84330208 1
  78   1.24457511 2
  79   1.37429627 3
  80  -0.40494692 4
  81   2.76131930 1
  82   0.34880539 2
  83   1.00058930 3
  84  -1.65217161 4
  85   2.15362714 1
  86   0.16936481 2
  87   1.17353474 3
  88  -0.87120355 4
  89   0.32375713 1
  90  -1.71353075 2
  91   0.72294907 3
  92  -0.31328298 4
  93   0.95824196 1
  94   0.42493943 2
  95   2.01132178 3
  96  -2.02363888 4
  97   1.72361329 1
  98   0.91187823 2
  99   2.05794008 3
  100 -2.41948073 4
  101 -0.82616035 1
  102 -1.06990486 2
  103  0.74828918 3
  104 -2.36455247 4
  105  0.90625077 1
  106  0.97124913 2
  107 -0.73473633 3
  108 -0.80467140 4
  109  1.90673699 1
  110 -0.11019307 2
  111  0.86674084 3
  112 -2.07180330 4
  113  1.17725606 1
  114 -1.18412428 2
  115 -0.19673848 3
  116 -1.53364871 4
  117  1.94964353 1
  118 -0.58430960 2
  119  1.17936536 3
  120 -2.42016539 4
Code
  show(draw_sample_normal(k_groups = 3, f = 0.12, sd = c(1, 0.8, 2),
  sample_ratio = c(1, 2, 1), max_n = 50))
Output
                 y x
  1   -0.936675605 1
  2   -0.226495718 2
  3    0.726903769 2
  4    1.171692758 3
  5    0.625765104 1
  6    0.121431936 2
  7    1.404898561 2
  8   -0.463956453 3
  9    1.276218694 1
  10   0.988857660 2
  11   0.825425744 2
  12  -1.961664564 3
  13  -0.081434902 1
  14  -0.267999180 2
  15   1.157428335 2
  16   0.297846188 3
  17   0.787176518 1
  18   1.087855584 2
  19  -0.057334887 2
  20  -1.364703384 3
  21  -1.044534741 1
  22  -0.959843244 2
  23  -0.969902906 2
  24  -2.047922860 3
  25   0.084171288 1
  26  -0.746268160 2
  27  -0.443365144 2
  28   2.764267254 3
  29   0.092174640 1
  30  -0.218944123 2
  31  -1.733187229 2
  32   0.260986113 3
  33   0.959491494 1
  34  -0.069193351 2
  35   0.568621828 2
  36   2.505688662 3
  37   0.375506716 1
  38  -1.568810495 2
  39  -0.598254780 2
  40   0.099080638 3
  41  -1.065773027 1
  42  -0.292174697 2
  43  -0.207858899 2
  44  -2.863657636 3
  45  -0.627534874 1
  46   2.454584668 2
  47   0.649545043 2
  48  -1.098047776 3
  49  -0.724620437 1
  50   0.480632479 2
  51   0.162462675 2
  52  -2.117389076 3
  53   0.421297252 1
  54  -0.425199435 2
  55  -0.318059197 2
  56   3.767242568 3
  57  -0.453672377 1
  58   0.340127844 2
  59  -0.827336962 2
  60   0.761081283 3
  61   0.119063619 1
  62   1.112774892 2
  63  -0.319780639 2
  64   0.434381525 3
  65   2.616104139 1
  66   0.379077942 2
  67   0.087260993 2
  68   0.460536143 3
  69   2.062928682 1
  70   0.562703989 2
  71   0.540852782 2
  72   2.669300377 3
  73  -1.126187466 1
  74   0.969438006 2
  75  -0.110448409 2
  76   0.200412295 3
  77   0.114899017 1
  78   0.562903113 2
  79  -0.874938428 2
  80   2.046722310 3
  81  -0.347652027 1
  82   0.513399111 2
  83  -0.197021579 2
  84   0.048880196 3
  85  -1.272650790 1
  86  -0.364024249 2
  87  -0.005338713 2
  88   1.998387388 3
  89   1.181871832 1
  90   0.488059301 2
  91  -0.183331245 2
  92  -1.847133816 3
  93  -0.080187948 1
  94   0.809648448 2
  95   1.170627104 2
  96   0.020854272 3
  97  -0.047562050 1
  98  -0.370831261 2
  99   0.089182715 2
  100  2.206326026 3
  101 -0.296804761 1
  102  0.728464307 2
  103  0.409324443 2
  104  0.647724512 3
  105 -0.045722368 1
  106  0.855722638 2
  107 -0.833750018 2
  108  1.187849650 3
  109 -0.126708788 1
  110  0.998049281 2
  111  0.553959313 2
  112 -4.111397098 3
  113  1.125439349 1
  114  1.036634448 2
  115  1.106736619 2
  116  6.652641665 3
  117  0.978951302 1
  118  1.519591769 2
  119  0.421018431 2
  120 -2.953812403 3
  121  1.228523122 1
  122 -0.007738038 2
  123  0.183137700 2
  124  2.186830430 3
  125 -0.650401364 1
  126  2.324544685 2
  127  0.818396901 2
  128  0.020695568 3
  129  0.006014754 1
  130  1.017913718 2
  131 -0.910423156 2
  132 -1.099665932 3
  133  2.308601113 1
  134 -0.841518372 2
  135  0.750021447 2
  136  0.775404325 3
  137 -0.653104908 1
  138  0.012648806 2
  139 -0.273025517 2
  140 -2.495480813 3
  141 -0.160619201 1
  142 -0.681265771 2
  143  0.568567683 2
  144 -2.547826677 3
  145  0.387336230 1
  146  0.146981391 2
  147  1.211387438 2
  148  1.588344020 3
  149  0.329922193 1
  150  1.142682795 2
  151 -0.296327036 2
  152 -1.995666362 3
  153 -0.262441660 1
  154 -0.084823594 2
  155  0.355180821 2
  156 -0.569200135 3
  157  0.368716253 1
  158  0.520577365 2
  159  0.870166136 2
  160  4.596592376 3
  161  0.673656960 1
  162  0.206732023 2
  163  1.328961216 2
  164  1.397614675 3
  165 -0.458671107 1
  166  0.776654055 2
  167 -0.640149732 2
  168 -1.305364301 3
  169  0.460997688 1
  170 -0.649177226 2
  171  0.731561855 2
  172  3.011606470 3
  173  0.739496915 1
  174  1.078734838 2
  175 -0.244194955 2
  176  1.059978916 3
  177 -1.606052747 1
  178  0.855640045 2
  179  0.168354194 2
  180  1.895596565 3
  181  1.742529269 1
  182  1.020426598 2
  183  0.320661005 2
  184  0.079637765 3
  185 -0.970342883 1
  186  0.844350589 2
  187 -1.667785773 2
  188  0.763828592 3
  189  1.644208206 1
  190  0.056109208 2
  191  0.099161837 2
  192  4.629369369 3
  193  1.113327804 1
  194 -0.393152388 2
  195  0.609521646 2
  196  0.409718664 3
  197 -1.427810492 1
  198  0.567318876 2
  199 -0.083888348 2
  200 -1.498606763 3

II draw_sample_normal: check correct behaviour of show

Code
  show(draw_sample_normal(k_groups = 2, f = 0.25, max_n = 30))
Output
               y x
  1  -2.30128979 1
  2   0.52773897 2
  3  -1.77596060 1
  4  -0.01916362 2
  5   0.98305388 1
  6   0.88360774 2
  7   0.10271746 1
  8  -0.31048248 2
  9  -1.37490028 1
  10 -0.62430362 2
  11 -0.20613838 1
  12 -0.33397514 2
  13 -1.07329858 1
  14  0.36059280 2
  15  0.11472778 1
  16  0.30370100 2
  17  1.11867235 1
  18 -0.13045724 2
  19 -0.95632036 1
  20  1.21687656 2
  21 -0.96016648 1
  22  0.19082635 2
  23 -0.48094342 1
  24  0.94200045 2
  25  1.10682290 1
  26  2.03872284 2
  27  0.16071582 1
  28 -1.93785470 2
  29 -0.95278946 1
  30  0.54986416 2
  31  0.89946968 1
  32 -0.05164149 2
  33 -0.79733935 1
  34 -0.13540415 2
  35  0.02637203 1
  36  0.40186081 2
  37 -0.68138079 1
  38 -1.62050006 2
  39 -0.17366674 1
  40  0.01964405 2
  41  0.06746484 1
  42 -1.34268440 2
  43 -0.43194062 1
  44  2.00614174 2
  45 -0.13605068 1
  46 -0.04216508 2
  47  1.50409316 1
  48  2.05958455 2
  49 -0.41706889 1
  50  1.49128597 2
  51  0.04010419 1
  52  0.19627645 2
  53 -0.17569522 1
  54  0.13560610 2
  55 -1.68381629 1
  56 -0.09207492 2
  57  0.18550459 1
  58  0.54297294 2
  59 -1.10981789 1
  60  1.30689333 2
Code
  show(draw_sample_normal(k_groups = 4, f = 1, sd = c(1, 0.8, 1, 1), max_n = 30))
Output
                y x
  1   -0.97359684 1
  2    1.14097958 2
  3   -1.12270522 3
  4   -2.65066851 4
  5    0.25476947 1
  6   -0.47805947 2
  7   -0.27788822 3
  8   -1.28471300 4
  9    0.28386638 1
  10  -0.34597016 2
  11  -0.14637930 3
  12   0.12857747 4
  13   1.87775659 1
  14   0.25154051 2
  15   0.96273137 3
  16  -0.59832287 4
  17  -0.17971706 1
  18  -1.18839393 2
  19   0.12479108 3
  20  -1.28483404 4
  21   1.17213816 1
  22   0.37554315 2
  23   0.63468484 3
  24  -2.85283746 4
  25   1.96726846 1
  26   0.18740073 2
  27   1.48936086 3
  28  -0.03880732 4
  29   0.60829762 1
  30  -0.07302225 2
  31   0.89495215 3
  32  -3.33728160 4
  33   0.98816642 1
  34   0.26442197 2
  35   0.38757643 3
  36  -1.00285665 4
  37   0.36527269 1
  38   1.66521636 2
  39   0.45412581 3
  40  -2.80828333 4
  41  -0.24377594 1
  42  -0.26936384 2
  43   0.01259100 3
  44  -1.35897923 4
  45   0.99194620 1
  46  -0.25056638 2
  47   0.43321193 3
  48  -1.89438506 4
  49   3.11603445 1
  50   0.34404012 2
  51   0.70812658 3
  52  -1.25336223 4
  53   1.66344305 1
  54   0.34051343 2
  55   0.69780345 3
  56  -1.04893182 4
  57  -0.21474052 1
  58  -0.89835710 2
  59   2.50661451 3
  60  -0.03909643 4
  61   0.97213776 1
  62   0.58175123 2
  63   1.02602495 3
  64  -1.23554496 4
  65   0.36100896 1
  66  -1.51871162 2
  67   0.01726798 3
  68  -1.36800653 4
  69  -1.43527725 1
  70   0.54598193 2
  71   0.79224568 3
  72  -0.85135106 4
  73   1.68370015 1
  74   1.92938614 2
  75   0.62847109 3
  76  -0.63367871 4
  77   0.84330208 1
  78   1.24457511 2
  79   1.37429627 3
  80  -0.40494692 4
  81   2.76131930 1
  82   0.34880539 2
  83   1.00058930 3
  84  -1.65217161 4
  85   2.15362714 1
  86   0.16936481 2
  87   1.17353474 3
  88  -0.87120355 4
  89   0.32375713 1
  90  -1.71353075 2
  91   0.72294907 3
  92  -0.31328298 4
  93   0.95824196 1
  94   0.42493943 2
  95   2.01132178 3
  96  -2.02363888 4
  97   1.72361329 1
  98   0.91187823 2
  99   2.05794008 3
  100 -2.41948073 4
  101 -0.82616035 1
  102 -1.06990486 2
  103  0.74828918 3
  104 -2.36455247 4
  105  0.90625077 1
  106  0.97124913 2
  107 -0.73473633 3
  108 -0.80467140 4
  109  1.90673699 1
  110 -0.11019307 2
  111  0.86674084 3
  112 -2.07180330 4
  113  1.17725606 1
  114 -1.18412428 2
  115 -0.19673848 3
  116 -1.53364871 4
  117  1.94964353 1
  118 -0.58430960 2
  119  1.17936536 3
  120 -2.42016539 4
Code
  show(draw_sample_normal(k_groups = 3, f = 0.12, sd = c(1, 0.8, 2),
  sample_ratio = c(1, 2, 1), max_n = 50))
Output
                 y x
  1   -0.936675605 1
  2   -0.226495718 2
  3    0.726903769 2
  4    1.171692758 3
  5    0.625765104 1
  6    0.121431936 2
  7    1.404898561 2
  8   -0.463956453 3
  9    1.276218694 1
  10   0.988857660 2
  11   0.825425744 2
  12  -1.961664564 3
  13  -0.081434902 1
  14  -0.267999180 2
  15   1.157428335 2
  16   0.297846188 3
  17   0.787176518 1
  18   1.087855584 2
  19  -0.057334887 2
  20  -1.364703384 3
  21  -1.044534741 1
  22  -0.959843244 2
  23  -0.969902906 2
  24  -2.047922860 3
  25   0.084171288 1
  26  -0.746268160 2
  27  -0.443365144 2
  28   2.764267254 3
  29   0.092174640 1
  30  -0.218944123 2
  31  -1.733187229 2
  32   0.260986113 3
  33   0.959491494 1
  34  -0.069193351 2
  35   0.568621828 2
  36   2.505688662 3
  37   0.375506716 1
  38  -1.568810495 2
  39  -0.598254780 2
  40   0.099080638 3
  41  -1.065773027 1
  42  -0.292174697 2
  43  -0.207858899 2
  44  -2.863657636 3
  45  -0.627534874 1
  46   2.454584668 2
  47   0.649545043 2
  48  -1.098047776 3
  49  -0.724620437 1
  50   0.480632479 2
  51   0.162462675 2
  52  -2.117389076 3
  53   0.421297252 1
  54  -0.425199435 2
  55  -0.318059197 2
  56   3.767242568 3
  57  -0.453672377 1
  58   0.340127844 2
  59  -0.827336962 2
  60   0.761081283 3
  61   0.119063619 1
  62   1.112774892 2
  63  -0.319780639 2
  64   0.434381525 3
  65   2.616104139 1
  66   0.379077942 2
  67   0.087260993 2
  68   0.460536143 3
  69   2.062928682 1
  70   0.562703989 2
  71   0.540852782 2
  72   2.669300377 3
  73  -1.126187466 1
  74   0.969438006 2
  75  -0.110448409 2
  76   0.200412295 3
  77   0.114899017 1
  78   0.562903113 2
  79  -0.874938428 2
  80   2.046722310 3
  81  -0.347652027 1
  82   0.513399111 2
  83  -0.197021579 2
  84   0.048880196 3
  85  -1.272650790 1
  86  -0.364024249 2
  87  -0.005338713 2
  88   1.998387388 3
  89   1.181871832 1
  90   0.488059301 2
  91  -0.183331245 2
  92  -1.847133816 3
  93  -0.080187948 1
  94   0.809648448 2
  95   1.170627104 2
  96   0.020854272 3
  97  -0.047562050 1
  98  -0.370831261 2
  99   0.089182715 2
  100  2.206326026 3
  101 -0.296804761 1
  102  0.728464307 2
  103  0.409324443 2
  104  0.647724512 3
  105 -0.045722368 1
  106  0.855722638 2
  107 -0.833750018 2
  108  1.187849650 3
  109 -0.126708788 1
  110  0.998049281 2
  111  0.553959313 2
  112 -4.111397098 3
  113  1.125439349 1
  114  1.036634448 2
  115  1.106736619 2
  116  6.652641665 3
  117  0.978951302 1
  118  1.519591769 2
  119  0.421018431 2
  120 -2.953812403 3
  121  1.228523122 1
  122 -0.007738038 2
  123  0.183137700 2
  124  2.186830430 3
  125 -0.650401364 1
  126  2.324544685 2
  127  0.818396901 2
  128  0.020695568 3
  129  0.006014754 1
  130  1.017913718 2
  131 -0.910423156 2
  132 -1.099665932 3
  133  2.308601113 1
  134 -0.841518372 2
  135  0.750021447 2
  136  0.775404325 3
  137 -0.653104908 1
  138  0.012648806 2
  139 -0.273025517 2
  140 -2.495480813 3
  141 -0.160619201 1
  142 -0.681265771 2
  143  0.568567683 2
  144 -2.547826677 3
  145  0.387336230 1
  146  0.146981391 2
  147  1.211387438 2
  148  1.588344020 3
  149  0.329922193 1
  150  1.142682795 2
  151 -0.296327036 2
  152 -1.995666362 3
  153 -0.262441660 1
  154 -0.084823594 2
  155  0.355180821 2
  156 -0.569200135 3
  157  0.368716253 1
  158  0.520577365 2
  159  0.870166136 2
  160  4.596592376 3
  161  0.673656960 1
  162  0.206732023 2
  163  1.328961216 2
  164  1.397614675 3
  165 -0.458671107 1
  166  0.776654055 2
  167 -0.640149732 2
  168 -1.305364301 3
  169  0.460997688 1
  170 -0.649177226 2
  171  0.731561855 2
  172  3.011606470 3
  173  0.739496915 1
  174  1.078734838 2
  175 -0.244194955 2
  176  1.059978916 3
  177 -1.606052747 1
  178  0.855640045 2
  179  0.168354194 2
  180  1.895596565 3
  181  1.742529269 1
  182  1.020426598 2
  183  0.320661005 2
  184  0.079637765 3
  185 -0.970342883 1
  186  0.844350589 2
  187 -1.667785773 2
  188  0.763828592 3
  189  1.644208206 1
  190  0.056109208 2
  191  0.099161837 2
  192  4.629369369 3
  193  1.113327804 1
  194 -0.393152388 2
  195  0.609521646 2
  196  0.409718664 3
  197 -1.427810492 1
  198  0.567318876 2
  199 -0.083888348 2
  200 -1.498606763 3

III draw_sample_mixture: check correct behaviour of show

Code
  show(draw_sample_mixture(k_groups = 2, f = 0.25, max_n = 30))
Output
                 y x
  1  -0.2968 1
  2   0.6607 2
  3   1.4095 1
  4  -0.2448 2
  5  -0.6702 1
  6   0.0501 2
  7  -0.4452 1
  8   0.6138 2
  9  -0.5893 1
  10  0.7303 2
  11 -0.2416 1
  12  1.7096 2
  13 -0.7096 1
  14  0.1768 2
  15 -1.0189 1
  16  2.7613 2
  17  1.9641 1
  18 -0.4269 2
  19 -0.7524 1
  20 -0.1272 2
  21 -0.1493 1
  22  0.8260 2
  23 -1.7704 1
  24 -1.9212 2
  25 -0.6461 1
  26  0.8786 2
  27  0.0006 1
  28  2.7196 2
  29  0.1150 1
  30  0.9282 2
  31 -0.7716 1
  32  0.6649 2
  33 -1.6054 1
  34  0.0657 2
  35  0.4546 1
  36 -0.1479 2
  37  0.8698 1
  38 -0.4138 2
  39 -1.7788 1
  40  0.1029 2
  41 -0.2011 1
  42 -2.0765 2
  43  1.2032 1
  44 -0.5536 2
  45 -0.5709 1
  46 -0.5789 2
  47 -1.1251 1
  48 -0.0113 2
  49 -0.0135 1
  50  0.4689 2
  51  0.6118 1
  52  0.5000 2
  53  0.5140 1
  54 -0.1874 2
  55  1.2229 1
  56  1.1427 2
  57 -0.1737 1
  58  0.5148 2
  59 -2.7390 1
  60  2.3657 2
Code
  suppressMessages(show(draw_sample_mixture(k_groups = 4, f = 1, max_n = 30,
    verbose = TRUE)))
Output
                y x
  1    2.4910 1
  2    0.0675 2
  3   -0.4683 3
  4   -0.9187 4
  5    0.3189 1
  6    0.7794 2
  7   -1.6730 3
  8   -2.5698 4
  9    2.9761 1
  10  -0.0471 2
  11   0.3060 3
  12  -2.2047 4
  13   2.3544 1
  14  -0.1104 2
  15   0.0361 3
  16  -1.7993 4
  17   0.6482 1
  18  -0.2647 2
  19  -0.0522 3
  20  -0.2465 4
  21   2.1516 1
  22   0.3486 2
  23  -0.0988 3
  24  -2.2877 4
  25   2.7909 1
  26   1.0040 2
  27  -0.6218 3
  28  -0.0245 4
  29   1.8623 1
  30   2.4961 2
  31  -0.1047 3
  32  -0.2501 4
  33   2.5719 1
  34   0.3452 2
  35  -0.8797 3
  36  -1.9779 4
  37   2.6650 1
  38   0.1728 2
  39  -0.7123 3
  40  -1.9692 4
  41   2.9951 1
  42   0.2990 2
  43   0.0369 3
  44  -0.1540 4
  45   2.7398 1
  46   0.1658 2
  47  -0.2292 3
  48  -0.1883 4
  49   2.2093 1
  50   1.5512 2
  51  -1.4558 3
  52  -0.1454 4
  53   2.8197 1
  54   0.4540 2
  55   0.2131 3
  56  -0.0444 4
  57   0.4924 1
  58   0.6376 2
  59  -1.4554 3
  60   0.1083 4
  61   2.5895 1
  62  -0.5686 2
  63  -3.0066 3
  64  -0.1592 4
  65   3.1274 1
  66   1.4327 2
  67  -1.3523 3
  68  -0.1326 4
  69   2.9455 1
  70   0.1351 2
  71  -1.4518 3
  72  -1.2041 4
  73   2.1853 1
  74   0.4302 2
  75  -0.3479 3
  76  -0.1739 4
  77   0.5177 1
  78  -0.4684 2
  79  -3.4303 3
  80   0.1590 4
  81   1.7165 1
  82   0.7031 2
  83  -0.1307 3
  84  -0.1991 4
  85   0.2796 1
  86   0.4674 2
  87  -0.9933 3
  88   0.0534 4
  89   2.2181 1
  90   0.1253 2
  91  -1.4520 3
  92  -2.0679 4
  93   2.3852 1
  94  -0.1615 2
  95  -1.7813 3
  96   0.0105 4
  97   2.8237 1
  98   2.0998 2
  99  -0.0535 3
  100 -2.9976 4
  101  2.3783 1
  102  2.0114 2
  103 -1.8989 3
  104 -0.1166 4
  105  2.5713 1
  106  1.7327 2
  107 -0.2999 3
  108 -0.3638 4
  109  0.7090 1
  110  1.3038 2
  111 -1.2345 3
  112 -1.3464 4
  113  1.9724 1
  114  0.3479 2
  115 -0.5697 3
  116  0.0205 4
  117  0.5220 1
  118  0.0658 2
  119 -0.1224 3
  120 -2.1263 4
Code
  suppressMessages(show(draw_sample_mixture(k_groups = 3, f = 0.12, max_n = 50,
    verbose = TRUE)))
Output
                 y x
  1   -0.2410 1
  2   -0.1934 2
  3   -0.2757 3
  4   -0.6969 1
  5   -0.4536 2
  6   -0.8092 3
  7   -0.6245 1
  8   -2.5398 2
  9    1.1419 3
  10   0.3547 1
  11  -0.6883 2
  12  -0.7196 3
  13  -0.7558 1
  14  -0.5984 2
  15  -0.3976 3
  16  -0.9133 1
  17  -0.9348 2
  18   0.9654 3
  19   0.7393 1
  20   0.0178 2
  21  -0.4229 3
  22  -0.2429 1
  23   1.7604 2
  24  -0.6110 3
  25   0.7065 1
  26   0.3390 2
  27   0.4631 3
  28  -0.5304 1
  29  -0.6921 2
  30  -0.3141 3
  31   0.9784 1
  32   0.2219 2
  33  -0.4645 3
  34  -0.2089 1
  35  -1.4769 2
  36  -0.8270 3
  37   0.4255 1
  38  -0.6820 2
  39  -0.5628 3
  40  -1.7210 1
  41  -0.1164 2
  42   0.8722 3
  43   1.1805 1
  44  -0.1715 2
  45  -3.3865 3
  46  -0.0950 1
  47  -0.0837 2
  48   0.0269 3
  49   0.9172 1
  50   0.3552 2
  51   0.6874 3
  52   0.4152 1
  53  -0.2585 2
  54   0.0032 3
  55   0.2972 1
  56   0.4635 2
  57  -1.2692 3
  58   0.3623 1
  59   0.1776 2
  60   0.0768 3
  61   0.1265 1
  62  -1.3828 2
  63   0.1808 3
  64  -0.0566 1
  65  -0.2596 2
  66  -0.4645 3
  67  -0.5068 1
  68   2.4167 2
  69   1.5020 3
  70  -0.7959 1
  71  -0.0110 2
  72  -0.0041 3
  73  -0.2586 1
  74   1.3139 2
  75   0.1569 3
  76   0.1840 1
  77   0.5937 2
  78  -0.2695 3
  79  -0.9742 1
  80  -0.8063 2
  81   3.0596 3
  82   0.4044 1
  83   1.1431 2
  84  -0.0321 3
  85   0.2661 1
  86   1.3805 2
  87   0.1521 3
  88   1.7057 1
  89   0.4342 2
  90  -0.1004 3
  91  -0.2495 1
  92  -0.1205 2
  93  -0.4312 3
  94   0.6073 1
  95   0.1998 2
  96  -0.1832 3
  97  -1.1601 1
  98  -2.7660 2
  99  -0.4342 3
  100  0.4027 1
  101  0.0423 2
  102  0.5722 3
  103 -1.2653 1
  104 -0.3429 2
  105 -0.9985 3
  106 -0.1167 1
  107  0.7571 2
  108 -0.4233 3
  109 -0.3670 1
  110 -0.2564 2
  111  2.0780 3
  112  0.1786 1
  113 -2.3183 2
  114  0.1252 3
  115  0.2839 1
  116  0.2548 2
  117 -0.5821 3
  118  1.9404 1
  119 -1.0286 2
  120  2.6396 3
  121 -0.1017 1
  122  0.6644 2
  123  0.6063 3
  124  0.7612 1
  125 -0.3978 2
  126 -0.0463 3
  127 -0.3653 1
  128 -0.0054 2
  129 -0.3708 3
  130  0.1721 1
  131 -1.3761 2
  132  0.0778 3
  133 -0.3353 1
  134  0.0611 2
  135 -1.1323 3
  136  0.1725 1
  137 -0.9822 2
  138  1.1456 3
  139  1.0595 1
  140 -1.1812 2
  141 -0.4041 3
  142  1.8361 1
  143 -0.0383 2
  144  0.1401 3
  145  0.1020 1
  146  0.4085 2
  147  0.0623 3
  148  0.7737 1
  149  0.7064 2
  150  0.1564 3


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sprtt documentation built on May 6, 2026, 5:06 p.m.