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 2.29823723 3.018906 0.02692613 0.11610118 -0.86369569
#> 15 S01 I02 1.69520652 3.018906 0.02692613 -0.48902346 -0.86160175
#> 29 S01 I03 2.92421004 3.018906 0.02692613 -0.79376279 0.67214109
#> 31 S01 I04 2.30403256 3.018906 0.02692613 -0.34742010 -0.39437908
#> 44 S01 I05 2.93627260 3.018906 0.02692613 -0.26716949 0.15761035
#> 58 S01 I06 3.23312630 3.018906 0.02692613 0.09843036 0.08886421
#> 61 S01 I07 3.73486405 3.018906 0.02692613 0.40205042 0.28698189
#> 73 S01 I08 2.16576125 3.018906 0.02692613 -0.96395071 0.08388022
#> 87 S01 I09 2.97156544 3.018906 0.02692613 -0.31031411 0.23604781
#> 91 S01 I10 4.19076756 3.018906 0.02692613 0.54068543 0.60425040
#> 7 S02 I01 3.18483443 3.018906 0.02495687 0.11610118 0.02487077
#> 17 S02 I02 2.41601258 3.018906 0.02495687 -0.48902346 -0.13882645
#> 30 S02 I03 2.37446731 3.018906 0.02495687 -0.79376279 0.12436761
#> 36 S02 I04 2.73804413 3.018906 0.02495687 -0.34742010 0.04160174
#> 46 S02 I05 3.27872986 3.018906 0.02495687 -0.26716949 0.50203686
#> 59 S02 I06 2.31385700 3.018906 0.02495687 0.09843036 -0.82843584
#> 69 S02 I07 1.45471833 3.018906 0.02495687 0.40205042 -1.99119457
#> 75 S02 I08 2.54024061 3.018906 0.02495687 -0.96395071 0.46032883
#> 88 S02 I09 1.62246714 3.018906 0.02495687 -0.31031411 -1.11108124
#> 98 S02 I10 4.87775476 3.018906 0.02495687 0.54068543 1.29320684
#> 4 S03 I01 2.03985427 3.018906 0.64676110 0.11610118 -1.74191362
#> 18 S03 I02 3.56138741 3.018906 0.64676110 -0.48902346 0.38474416
#> 23 S03 I03 4.39542801 3.018906 0.64676110 -0.79376279 1.52352409
#> 33 S03 I04 2.28679085 3.018906 0.64676110 -0.34742010 -1.03145576
#> 47 S03 I05 4.16455951 3.018906 0.64676110 -0.26716949 0.76606229
#> 60 S03 I06 2.42755957 3.018906 0.64676110 0.09843036 -1.33653750
#> 62 S03 I07 4.42655258 3.018906 0.64676110 0.40205042 0.35883545
#> 76 S03 I08 2.13633792 3.018906 0.64676110 -0.96395071 -0.56537809
#> 89 S03 I09 3.12076250 3.018906 0.64676110 -0.31031411 -0.23459010
#> 95 S03 I10 4.00746981 3.018906 0.64676110 0.54068543 -0.19888232
#> 5 S04 I01 2.59899444 3.018906 -0.57622906 0.11610118 0.04021670
#> 19 S04 I02 1.40306658 3.018906 -0.57622906 -0.48902346 -0.55058652
#> 21 S04 I03 1.93921285 3.018906 -0.57622906 -0.79376279 0.29029908
#> 34 S04 I04 1.72507985 3.018906 -0.57622906 -0.34742010 -0.37017661
#> 48 S04 I05 0.74532284 3.018906 -0.57622906 -0.26716949 -1.43018423
#> 51 S04 I06 2.04734726 3.018906 -0.57622906 0.09843036 -0.49375965
#> 63 S04 I07 2.07541272 3.018906 -0.57622906 0.40205042 -0.76931426
#> 77 S04 I08 1.84805213 3.018906 -0.57622906 -0.96395071 0.36932628
#> 90 S04 I09 1.09847993 3.018906 -0.57622906 -0.31031411 -1.03388252
#> 92 S04 I10 4.32968518 3.018906 -0.57622906 0.54068543 1.34632319
#> 2 S05 I01 5.15208852 3.018906 1.02321698 0.11610118 0.99386476
#> 16 S05 I02 1.04189576 3.018906 1.02321698 -0.48902346 -2.51120337
#> 22 S05 I03 4.51714252 3.018906 1.02321698 -0.79376279 1.26878272
#> 35 S05 I04 5.90380951 3.018906 1.02321698 -0.34742010 2.20910702
#> 45 S05 I05 3.07651916 3.018906 1.02321698 -0.26716949 -0.69843393
#> 52 S05 I06 2.63303923 3.018906 1.02321698 0.09843036 -1.50751372
#> 64 S05 I07 6.58715007 3.018906 1.02321698 0.40205042 2.14297706
#> 74 S05 I08 4.69612636 3.018906 1.02321698 -0.96395071 1.61795448
#> 81 S05 I09 4.68282053 3.018906 1.02321698 -0.31031411 0.95101205
#> 93 S05 I10 4.54237225 3.018906 1.02321698 0.54068543 -0.04043576
#> 8 S06 I01 3.29097362 3.018906 -0.19924964 0.11610118 0.35521647
#> 20 S06 I02 1.89058074 3.018906 -0.19924964 -0.48902346 -0.44005177
#> 27 S06 I03 2.93256230 3.018906 -0.19924964 -0.79376279 0.90666912
#> 37 S06 I04 2.99909935 3.018906 -0.19924964 -0.34742010 0.52686348
#> 49 S06 I05 3.63923717 3.018906 -0.19924964 -0.26716949 1.08675069
#> 56 S06 I06 2.79101391 3.018906 -0.19924964 0.09843036 -0.12707242
#> 66 S06 I07 4.04987318 3.018906 -0.19924964 0.40205042 0.82816678
#> 79 S06 I08 3.28041345 3.018906 -0.19924964 -0.96395071 1.42470818
#> 85 S06 I09 0.94448015 3.018906 -0.19924964 -0.31031411 -1.56486171
#> 99 S06 I10 4.31929250 3.018906 -0.19924964 0.54068543 0.95895111
#> 9 S07 I01 2.00126785 3.018906 -0.40472244 0.11610118 -0.72901650
#> 11 S07 I02 1.24049709 3.018906 -0.40472244 -0.48902346 -0.88466262
#> 24 S07 I03 2.94931048 3.018906 -0.40472244 -0.79376279 1.12889010
#> 38 S07 I04 0.87686950 3.018906 -0.40472244 -0.34742010 -1.38989357
#> 50 S07 I05 2.00999175 3.018906 -0.40472244 -0.26716949 -0.33702193
#> 53 S07 I06 2.93732477 3.018906 -0.40472244 0.09843036 0.22471124
#> 67 S07 I07 2.88077889 3.018906 -0.40472244 0.40205042 -0.13545470
#> 80 S07 I08 2.01891202 3.018906 -0.40472244 -0.96395071 0.36867955
#> 82 S07 I09 0.25129826 3.018906 -0.40472244 -0.31031411 -2.05257080
#> 96 S07 I10 3.56501658 3.018906 -0.40472244 0.54068543 0.41014798
#> 6 S08 I01 3.95022296 3.018906 -0.26657310 0.11610118 1.08178928
#> 12 S08 I02 1.88161911 3.018906 -0.26657310 -0.48902346 -0.38168994
#> 25 S08 I03 -0.07453095 3.018906 -0.26657310 -0.79376279 -2.03310067
#> 39 S08 I04 1.48954876 3.018906 -0.26657310 -0.34742010 -0.91536364
#> 41 S08 I05 3.37057828 3.018906 -0.26657310 -0.26716949 0.88541527
#> 54 S08 I06 3.73767844 3.018906 -0.26657310 0.09843036 0.88691558
#> 68 S08 I07 2.00288074 3.018906 -0.26657310 0.40205042 -1.15150218
#> 78 S08 I08 1.94666720 3.018906 -0.26657310 -0.96395071 0.15828540
#> 83 S08 I09 0.93269002 3.018906 -0.26657310 -0.31031411 -1.50932838
#> 97 S08 I10 3.16102881 3.018906 -0.26657310 0.54068543 -0.13198913
#> 3 S09 I01 3.49240862 3.018906 1.06199098 0.11610118 -0.70458914
#> 13 S09 I02 3.09715552 3.018906 1.06199098 -0.48902346 -0.49471761
#> 26 S09 I03 3.80572038 3.018906 1.06199098 -0.79376279 0.51858658
#> 32 S09 I04 3.58987672 3.018906 1.06199098 -0.34742010 -0.14359977
#> 42 S09 I05 5.14184515 3.018906 1.06199098 -0.26716949 1.32811806
#> 55 S09 I06 4.90108097 3.018906 1.06199098 0.09843036 0.72175403
#> 65 S09 I07 4.33849069 3.018906 1.06199098 0.40205042 -0.14445632
#> 71 S09 I08 2.62027602 3.018906 1.06199098 -0.96395071 -0.49666987
#> 84 S09 I09 4.30703651 3.018906 1.06199098 -0.31031411 0.53645403
#> 94 S09 I10 3.51894703 3.018906 1.06199098 0.54068543 -1.10263499
#> 10 S10 I01 1.64995085 3.018906 0.14283506 0.11610118 -1.62789100
#> 14 S10 I02 2.44424467 3.018906 0.14283506 -0.48902346 -0.22847254
#> 28 S10 I03 1.09687472 3.018906 0.14283506 -0.79376279 -1.27110316
#> 40 S10 I04 3.40755146 3.018906 0.14283506 -0.34742010 0.59323089
#> 43 S10 I05 4.06702688 3.018906 0.14283506 -0.26716949 1.17245570
#> 57 S10 I06 2.82111334 3.018906 0.14283506 0.09843036 -0.43905769
#> 70 S10 I07 2.33983893 3.018906 0.14283506 0.40205042 -1.22395216
#> 72 S10 I08 1.34056163 3.018906 0.14283506 -0.96395071 -0.85722834
#> 86 S10 I09 2.46438036 3.018906 0.14283506 -0.31031411 -0.38704621
#> 100 S10 I10 3.80531274 3.018906 0.14283506 0.54068543 0.10288664