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 1.4111718 3.018906 0.48261992 -1.21967536 -0.870678367
#> 15 S01 I02 1.8847926 3.018906 0.48261992 -0.38246272 -1.234270231
#> 29 S01 I03 1.1626072 3.018906 0.48261992 -1.29494118 -1.043977107
#> 31 S01 I04 3.2212267 3.018906 0.48261992 -0.48503121 0.204732384
#> 44 S01 I05 3.1272017 3.018906 0.48261992 -0.28134948 -0.092974343
#> 58 S01 I06 3.8966252 3.018906 0.48261992 0.90264916 -0.507549501
#> 61 S01 I07 3.2543928 3.018906 0.48261992 0.09490194 -0.342034615
#> 73 S01 I08 3.1580881 3.018906 0.48261992 -0.47690499 0.133467611
#> 87 S01 I09 1.6518644 3.018906 0.48261992 -0.83001773 -1.019643366
#> 91 S01 I10 3.7874857 3.018906 0.48261992 -0.58787995 0.873840164
#> 7 S02 I01 2.5149268 3.018906 0.67521972 -1.21967536 0.040476841
#> 17 S02 I02 3.8591276 3.018906 0.67521972 -0.38246272 0.547464975
#> 30 S02 I03 2.0257125 3.018906 0.67521972 -1.29494118 -0.373471703
#> 36 S02 I04 2.5783007 3.018906 0.67521972 -0.48503121 -0.630793375
#> 46 S02 I05 2.5386140 3.018906 0.67521972 -0.28134948 -0.874161828
#> 59 S02 I06 5.9025511 3.018906 0.67521972 0.90264916 1.305776603
#> 69 S02 I07 3.3907877 3.018906 0.67521972 0.09490194 -0.398239590
#> 75 S02 I08 1.8302869 3.018906 0.67521972 -0.47690499 -1.386933475
#> 88 S02 I09 3.0062540 3.018906 0.67521972 -0.83001773 0.142146416
#> 98 S02 I10 2.6931470 3.018906 0.67521972 -0.58787995 -0.413098361
#> 4 S03 I01 1.9764829 3.018906 0.64406637 -1.21967536 -0.466813768
#> 18 S03 I02 3.1715589 3.018906 0.64406637 -0.38246272 -0.108950372
#> 23 S03 I03 1.1677294 3.018906 0.64406637 -1.29494118 -1.200301450
#> 33 S03 I04 4.3248227 3.018906 0.64406637 -0.48503121 1.146881957
#> 47 S03 I05 4.2481028 3.018906 0.64406637 -0.28134948 0.866480336
#> 60 S03 I06 3.3632403 3.018906 0.64406637 0.90264916 -1.202380880
#> 62 S03 I07 4.3790412 3.018906 0.64406637 0.09490194 0.621167275
#> 76 S03 I08 4.8520707 3.018906 0.64406637 -0.47690499 1.666003734
#> 89 S03 I09 1.2900668 3.018906 0.64406637 -0.83001773 -1.542887499
#> 95 S03 I10 2.3192194 3.018906 0.64406637 -0.58787995 -0.755872610
#> 5 S04 I01 1.5825889 3.018906 0.79055178 -1.21967536 -1.007193099
#> 19 S04 I02 2.4443221 3.018906 0.79055178 -0.38246272 -0.982672609
#> 21 S04 I03 5.0232108 3.018906 0.79055178 -1.29494118 2.508694612
#> 34 S04 I04 3.0704525 3.018906 0.79055178 -0.48503121 -0.253973664
#> 48 S04 I05 2.3975350 3.018906 0.79055178 -0.28134948 -1.130572954
#> 51 S04 I06 4.7524339 3.018906 0.79055178 0.90264916 0.040327356
#> 63 S04 I07 3.7075309 3.018906 0.79055178 0.09490194 -0.196828445
#> 77 S04 I08 4.9550084 3.018906 0.79055178 -0.47690499 1.622456038
#> 90 S04 I09 2.3867455 3.018906 0.79055178 -0.83001773 -0.592694159
#> 92 S04 I10 2.2743951 3.018906 0.79055178 -0.58787995 -0.947182376
#> 2 S05 I01 1.7927658 3.018906 -0.77680283 -1.21967536 0.770338411
#> 16 S05 I02 0.4242923 3.018906 -0.77680283 -0.38246272 -1.435347781
#> 22 S05 I03 0.6968630 3.018906 -0.77680283 -1.29494118 -0.250298599
#> 35 S05 I04 3.9907966 3.018906 -0.77680283 -0.48503121 2.233725060
#> 45 S05 I05 0.8699793 3.018906 -0.77680283 -0.28134948 -1.090773974
#> 52 S05 I06 3.0662796 3.018906 -0.77680283 0.90264916 -0.078472388
#> 64 S05 I07 2.4541584 3.018906 -0.77680283 0.09490194 0.117153701
#> 74 S05 I08 0.4298469 3.018906 -0.77680283 -0.47690499 -1.335350888
#> 81 S05 I09 1.7265737 3.018906 -0.77680283 -0.83001773 0.314488688
#> 93 S05 I10 1.5889772 3.018906 -0.77680283 -0.58787995 -0.065245679
#> 8 S06 I01 -0.2484586 3.018906 -0.70048995 -1.21967536 -1.347198953
#> 20 S06 I02 1.9589297 3.018906 -0.70048995 -0.38246272 0.022976766
#> 27 S06 I03 1.3580806 3.018906 -0.70048995 -1.29494118 0.334606088
#> 37 S06 I04 2.0874092 3.018906 -0.70048995 -0.48503121 0.254024736
#> 49 S06 I05 1.1549877 3.018906 -0.70048995 -0.28134948 -0.882078478
#> 56 S06 I06 3.6712528 3.018906 -0.70048995 0.90264916 0.450187938
#> 66 S06 I07 2.3303001 3.018906 -0.70048995 0.09490194 -0.083017454
#> 79 S06 I08 1.1409390 3.018906 -0.70048995 -0.47690499 -0.700571681
#> 85 S06 I09 0.7042130 3.018906 -0.70048995 -0.83001773 -0.784184966
#> 99 S06 I10 1.2336682 3.018906 -0.70048995 -0.58787995 -0.496867533
#> 9 S07 I01 2.9574803 3.018906 1.67411697 -1.21967536 -0.515866904
#> 11 S07 I02 4.6244990 3.018906 1.67411697 -0.38246272 0.313939183
#> 24 S07 I03 3.2574777 3.018906 1.67411697 -1.29494118 -0.140603725
#> 38 S07 I04 2.5115776 3.018906 1.67411697 -0.48503121 -1.696413823
#> 50 S07 I05 5.1166457 3.018906 1.67411697 -0.28134948 0.704972580
#> 53 S07 I06 4.6588424 3.018906 1.67411697 0.90264916 -0.936829372
#> 67 S07 I07 4.2697964 3.018906 1.67411697 0.09490194 -0.518128165
#> 80 S07 I08 3.4482387 3.018906 1.67411697 -0.47690499 -0.767878848
#> 82 S07 I09 3.5352294 3.018906 1.67411697 -0.83001773 -0.327775483
#> 96 S07 I10 3.0749247 3.018906 1.67411697 -0.58787995 -1.030217910
#> 6 S08 I01 2.3700222 3.018906 0.77409127 -1.21967536 -0.203299372
#> 12 S08 I02 3.4696960 3.018906 0.77409127 -0.38246272 0.059161856
#> 25 S08 I03 1.7139378 3.018906 0.77409127 -1.29494118 -0.784117939
#> 39 S08 I04 2.4024263 3.018906 0.77409127 -0.48503121 -0.905539399
#> 41 S08 I05 3.7703035 3.018906 0.77409127 -0.28134948 0.258656077
#> 54 S08 I06 5.3963779 3.018906 0.77409127 0.90264916 0.700731843
#> 68 S08 I07 3.0303924 3.018906 0.77409127 0.09490194 -0.857506409
#> 78 S08 I08 3.1234286 3.018906 0.77409127 -0.47690499 -0.192663325
#> 83 S08 I09 1.5777418 3.018906 0.77409127 -0.83001773 -1.385237387
#> 97 S08 I10 2.5212751 3.018906 0.77409127 -0.58787995 -0.683841836
#> 3 S09 I01 2.7146530 3.018906 0.06184517 -1.21967536 0.853577531
#> 13 S09 I02 3.8269547 3.018906 0.06184517 -0.38246272 1.128666668
#> 26 S09 I03 2.4820110 3.018906 0.06184517 -1.29494118 0.696201438
#> 32 S09 I04 1.7155503 3.018906 0.06184517 -0.48503121 -0.880169300
#> 42 S09 I05 2.9736371 3.018906 0.06184517 -0.28134948 0.174235781
#> 55 S09 I06 4.7984257 3.018906 0.06184517 0.90264916 0.815025797
#> 65 S09 I07 3.8727596 3.018906 0.06184517 0.09490194 0.697106910
#> 71 S09 I08 4.4005973 3.018906 0.06184517 -0.47690499 1.796751505
#> 84 S09 I09 2.4519822 3.018906 0.06184517 -0.83001773 0.201249175
#> 94 S09 I10 2.2404821 3.018906 0.06184517 -0.58787995 -0.252388722
#> 10 S10 I01 4.7014895 3.018906 0.60409975 -1.21967536 2.298159463
#> 14 S10 I02 3.8896310 3.018906 0.60409975 -0.38246272 0.649088363
#> 28 S10 I03 3.2515243 3.018906 0.60409975 -1.29494118 0.923460129
#> 40 S10 I04 2.0571903 3.018906 0.60409975 -0.48503121 -1.080783848
#> 43 S10 I05 5.0324876 3.018906 0.60409975 -0.28134948 1.690831725
#> 57 S10 I06 3.3904591 3.018906 0.60409975 0.90264916 -1.135195439
#> 70 S10 I07 3.7129863 3.018906 0.60409975 0.09490194 -0.004920999
#> 72 S10 I08 4.2578487 3.018906 0.60409975 -0.47690499 1.111748311
#> 86 S10 I09 1.7970834 3.018906 0.60409975 -0.83001773 -0.995904271
#> 100 S10 I10 2.4720447 3.018906 0.60409975 -0.58787995 -0.563080739