sim_mixed_df() produces a data table with the same distributions of
by-subject and by-item random intercepts as an existing data table.
Usage
sim_mixed_df(
data,
sub_n = NULL,
item_n = NULL,
dv = "y",
sub_id = "sub_id",
item_id = "item_id"
)Arguments
- data
the existing tbl
- sub_n
the number of subjects to simulate (if NULL, returns data for the same subjects)
- item_n
the number of items to simulate (if NULL, returns data for the same items)
- dv
the column name or index containing the DV
- sub_id
the column name or index for the subject IDs
- item_id
the column name or index for the item IDs
Examples
sim_mixed_df(faceratings, 10, 10, "rating", "rater_id", "face_id")
#> sub_id item_id y grand_i sub_i item_i err
#> 1 S01 I01 1.36671812 3.018906 -0.03615728 0.2455884 -1.861618594
#> 15 S01 I02 2.05302907 3.018906 -0.03615728 0.0576317 -0.987350950
#> 29 S01 I03 2.64116589 3.018906 -0.03615728 -0.6737036 0.332121175
#> 31 S01 I04 1.31849207 3.018906 -0.03615728 -0.9261576 -0.738098660
#> 44 S01 I05 4.07409883 3.018906 -0.03615728 0.5108941 0.580456439
#> 58 S01 I06 3.79852217 3.018906 -0.03615728 0.3593468 0.456426991
#> 61 S01 I07 4.52015554 3.018906 -0.03615728 0.2997471 1.237660150
#> 73 S01 I08 5.04391017 3.018906 -0.03615728 0.9735029 1.087658893
#> 87 S01 I09 2.01853137 3.018906 -0.03615728 -0.7390532 -0.225163778
#> 91 S01 I10 0.08679706 3.018906 -0.03615728 -1.0108160 -1.885135289
#> 7 S02 I01 4.72061621 3.018906 0.34451792 0.2455884 1.111604291
#> 17 S02 I02 3.01298144 3.018906 0.34451792 0.0576317 -0.408073794
#> 30 S02 I03 3.06741569 3.018906 0.34451792 -0.6737036 0.377695770
#> 36 S02 I04 3.16342940 3.018906 0.34451792 -0.9261576 0.726163463
#> 46 S02 I05 2.46660630 3.018906 0.34451792 0.5108941 -1.407711292
#> 59 S02 I06 4.70977410 3.018906 0.34451792 0.3593468 0.987003715
#> 69 S02 I07 3.24251297 3.018906 0.34451792 0.2997471 -0.420657629
#> 75 S02 I08 4.60509504 3.018906 0.34451792 0.9735029 0.268168557
#> 88 S02 I09 0.77554295 3.018906 0.34451792 -0.7390532 -1.848827400
#> 98 S02 I10 0.21619075 3.018906 0.34451792 -1.0108160 -2.136416806
#> 4 S03 I01 1.03413185 3.018906 -1.43310124 0.2455884 -0.797260911
#> 18 S03 I02 2.11878450 3.018906 -1.43310124 0.0576317 0.475348432
#> 23 S03 I03 1.48418426 3.018906 -1.43310124 -0.6737036 0.572083507
#> 33 S03 I04 -0.45004110 3.018906 -1.43310124 -0.9261576 -1.109687874
#> 47 S03 I05 2.17473391 3.018906 -1.43310124 0.5108941 0.078035480
#> 60 S03 I06 3.47862888 3.018906 -1.43310124 0.3593468 1.533477664
#> 62 S03 I07 2.09137246 3.018906 -1.43310124 0.2997471 0.205821019
#> 76 S03 I08 3.57881213 3.018906 -1.43310124 0.9735029 1.019504806
#> 89 S03 I09 0.58058571 3.018906 -1.43310124 -0.7390532 -0.266165479
#> 95 S03 I10 -0.47819787 3.018906 -1.43310124 -1.0108160 -1.053186265
#> 5 S04 I01 2.71192351 3.018906 0.98588634 0.2455884 -1.538456824
#> 19 S04 I02 4.06767180 3.018906 0.98588634 0.0576317 0.005248153
#> 21 S04 I03 2.57121707 3.018906 0.98588634 -0.6737036 -0.759871264
#> 34 S04 I04 3.77686990 3.018906 0.98588634 -0.9261576 0.698235553
#> 48 S04 I05 3.44384866 3.018906 0.98588634 0.5108941 -1.071837347
#> 51 S04 I06 3.17874045 3.018906 0.98588634 0.3593468 -1.185398344
#> 63 S04 I07 3.63984487 3.018906 0.98588634 0.2997471 -0.664694143
#> 77 S04 I08 7.55034788 3.018906 0.98588634 0.9735029 2.572052982
#> 90 S04 I09 3.12757235 3.018906 0.98588634 -0.7390532 -0.138166420
#> 92 S04 I10 2.78825265 3.018906 0.98588634 -1.0108160 -0.205723315
#> 2 S05 I01 3.90066533 3.018906 -0.49365096 0.2455884 1.129822296
#> 16 S05 I02 3.78361265 3.018906 -0.49365096 0.0576317 1.200726302
#> 22 S05 I03 1.78996989 3.018906 -0.49365096 -0.6737036 -0.061581148
#> 35 S05 I04 2.03165549 3.018906 -0.49365096 -0.9261576 0.432558432
#> 45 S05 I05 4.34025330 3.018906 -0.49365096 0.5108941 1.304104584
#> 52 S05 I06 5.80795964 3.018906 -0.49365096 0.3593468 2.923358138
#> 64 S05 I07 4.12759260 3.018906 -0.49365096 0.2997471 1.302590884
#> 74 S05 I08 2.83424777 3.018906 -0.49365096 0.9735029 -0.664509827
#> 81 S05 I09 2.01778099 3.018906 -0.49365096 -0.7390532 0.231579514
#> 93 S05 I10 2.77839713 3.018906 -0.49365096 -1.0108160 1.263958461
#> 8 S06 I01 4.66576830 3.018906 1.15479354 0.2455884 0.246480759
#> 20 S06 I02 5.93342995 3.018906 1.15479354 0.0576317 1.702099093
#> 27 S06 I03 2.87120410 3.018906 1.15479354 -0.6737036 -0.628791436
#> 37 S06 I04 3.03996024 3.018906 1.15479354 -0.9261576 -0.207581319
#> 49 S06 I05 3.80286252 3.018906 1.15479354 0.5108941 -0.881730694
#> 56 S06 I06 3.40760298 3.018906 1.15479354 0.3593468 -1.125443020
#> 66 S06 I07 5.51060144 3.018906 1.15479354 0.2997471 1.037155222
#> 79 S06 I08 6.19913819 3.018906 1.15479354 0.9735029 1.051936084
#> 85 S06 I09 3.90891412 3.018906 1.15479354 -0.7390532 0.474268150
#> 99 S06 I10 1.23670230 3.018906 1.15479354 -1.0108160 -1.926180869
#> 9 S07 I01 2.85476558 3.018906 -0.36233666 0.2455884 -0.047391755
#> 11 S07 I02 2.95557667 3.018906 -0.36233666 0.0576317 0.241376017
#> 24 S07 I03 2.23535523 3.018906 -0.36233666 -0.6737036 0.252489894
#> 38 S07 I04 0.33857447 3.018906 -0.36233666 -0.9261576 -1.391836886
#> 50 S07 I05 2.58502765 3.018906 -0.36233666 0.5108941 -0.582435363
#> 53 S07 I06 2.99249145 3.018906 -0.36233666 0.3593468 -0.023424353
#> 67 S07 I07 3.39176159 3.018906 -0.36233666 0.2997471 0.435445567
#> 80 S07 I08 2.43881652 3.018906 -0.36233666 0.9735029 -1.191255380
#> 82 S07 I09 3.19992264 3.018906 -0.36233666 -0.7390532 1.282406863
#> 96 S07 I10 -1.09540154 3.018906 -0.36233666 -1.0108160 -2.741154514
#> 6 S08 I01 4.13625822 3.018906 -0.47011523 0.2455884 1.341879454
#> 12 S08 I02 3.41971908 3.018906 -0.47011523 0.0576317 0.813297000
#> 25 S08 I03 2.39692622 3.018906 -0.47011523 -0.6737036 0.521839453
#> 39 S08 I04 2.14486937 3.018906 -0.47011523 -0.9261576 0.522236592
#> 41 S08 I05 2.44222310 3.018906 -0.47011523 0.5108941 -0.617461342
#> 54 S08 I06 1.94036666 3.018906 -0.47011523 0.3593468 -0.967770567
#> 68 S08 I07 2.46543459 3.018906 -0.47011523 0.2997471 -0.383102854
#> 78 S08 I08 2.09239447 3.018906 -0.47011523 0.9735029 -1.429898858
#> 83 S08 I09 0.46398131 3.018906 -0.47011523 -0.7390532 -1.345755895
#> 97 S08 I10 1.04124547 3.018906 -0.47011523 -1.0108160 -0.496728933
#> 3 S09 I01 3.53568017 3.018906 -0.29395797 0.2455884 0.565144138
#> 13 S09 I02 1.22415245 3.018906 -0.29395797 0.0576317 -1.558426894
#> 26 S09 I03 1.17153289 3.018906 -0.29395797 -0.6737036 -0.879711134
#> 32 S09 I04 2.85587562 3.018906 -0.29395797 -0.9261576 1.057085580
#> 42 S09 I05 2.78328967 3.018906 -0.29395797 0.5108941 -0.452552036
#> 55 S09 I06 3.54540512 3.018906 -0.29395797 0.3593468 0.461110625
#> 65 S09 I07 4.72270316 3.018906 -0.29395797 0.2997471 1.698008453
#> 71 S09 I08 4.79846071 3.018906 -0.29395797 0.9735029 1.100010125
#> 84 S09 I09 1.49638866 3.018906 -0.29395797 -0.7390532 -0.489505805
#> 94 S09 I10 1.05385074 3.018906 -0.29395797 -1.0108160 -0.660280922
#> 10 S10 I01 3.25294872 3.018906 -0.17156410 0.2455884 0.160018818
#> 14 S10 I02 4.77675774 3.018906 -0.17156410 0.0576317 1.871784528
#> 28 S10 I03 0.61859812 3.018906 -0.17156410 -0.6737036 -1.555039779
#> 40 S10 I04 2.86625848 3.018906 -0.17156410 -0.9261576 0.945074569
#> 43 S10 I05 2.94318786 3.018906 -0.17156410 0.5108941 -0.415047716
#> 57 S10 I06 2.18426507 3.018906 -0.17156410 0.3593468 -1.022423290
#> 70 S10 I07 2.62541047 3.018906 -0.17156410 0.2997471 -0.521678104
#> 72 S10 I08 3.89885354 3.018906 -0.17156410 0.9735029 0.078009081
#> 86 S10 I09 1.16892044 3.018906 -0.17156410 -0.7390532 -0.939367892
#> 100 S10 I10 1.92046160 3.018906 -0.17156410 -1.0108160 0.083936067