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 1.795239135 3.018906 -1.88866619 0.4766657 0.18833405
#> 15 S01 I02 3.385124427 3.018906 -1.88866619 0.8280414 1.42684358
#> 29 S01 I03 -0.289793063 3.018906 -1.88866619 -0.5095749 -0.91045756
#> 31 S01 I04 1.764204819 3.018906 -1.88866619 -0.6299344 1.26389979
#> 44 S01 I05 1.231894607 3.018906 -1.88866619 -0.2453519 0.34700706
#> 58 S01 I06 2.310078407 3.018906 -1.88866619 -0.1193556 1.29919462
#> 61 S01 I07 0.300352480 3.018906 -1.88866619 -1.1400340 0.31014710
#> 73 S01 I08 0.408384240 3.018906 -1.88866619 0.2595173 -0.98137249
#> 87 S01 I09 -1.789524779 3.018906 -1.88866619 -0.9965762 -1.92318798
#> 91 S01 I10 1.116021054 3.018906 -1.88866619 0.3965225 -0.41074085
#> 7 S02 I01 3.126378763 3.018906 -0.01999370 0.4766657 -0.34919881
#> 17 S02 I02 2.325976210 3.018906 -0.01999370 0.8280414 -1.50097713
#> 30 S02 I03 1.604919934 3.018906 -0.01999370 -0.5095749 -0.88441705
#> 36 S02 I04 4.985919644 3.018906 -0.01999370 -0.6299344 2.61694212
#> 46 S02 I05 2.588221156 3.018906 -0.01999370 -0.2453519 -0.16533889
#> 59 S02 I06 2.462063727 3.018906 -0.01999370 -0.1193556 -0.41749255
#> 69 S02 I07 1.346386258 3.018906 -0.01999370 -1.1400340 -0.51249161
#> 75 S02 I08 3.586171246 3.018906 -0.01999370 0.2595173 0.32774203
#> 88 S02 I09 4.326847496 3.018906 -0.01999370 -0.9965762 2.32451180
#> 98 S02 I10 3.895943848 3.018906 -0.01999370 0.3965225 0.50050945
#> 4 S03 I01 2.256613987 3.018906 -1.12490273 0.4766657 -0.11405456
#> 18 S03 I02 2.271752990 3.018906 -1.12490273 0.8280414 -0.45029132
#> 23 S03 I03 0.411675456 3.018906 -1.12490273 -0.5095749 -0.97275250
#> 33 S03 I04 1.588805583 3.018906 -1.12490273 -0.6299344 0.32473709
#> 47 S03 I05 1.084992421 3.018906 -1.12490273 -0.2453519 -0.56365859
#> 60 S03 I06 2.249038794 3.018906 -1.12490273 -0.1193556 0.47439155
#> 62 S03 I07 -1.738168502 3.018906 -1.12490273 -1.1400340 -2.49213735
#> 76 S03 I08 2.482240717 3.018906 -1.12490273 0.2595173 0.32872053
#> 89 S03 I09 1.277717914 3.018906 -1.12490273 -0.9965762 0.38029125
#> 95 S03 I10 2.415696564 3.018906 -1.12490273 0.3965225 0.12517119
#> 5 S04 I01 5.835511094 3.018906 -0.06805038 0.4766657 2.40799019
#> 19 S04 I02 3.633256510 3.018906 -0.06805038 0.8280414 -0.14564015
#> 21 S04 I03 5.175198779 3.018906 -0.06805038 -0.5095749 2.73391847
#> 34 S04 I04 3.557086113 3.018906 -0.06805038 -0.6299344 1.23616527
#> 48 S04 I05 3.516585778 3.018906 -0.06805038 -0.2453519 0.81108241
#> 51 S04 I06 2.752546889 3.018906 -0.06805038 -0.1193556 -0.07895271
#> 63 S04 I07 1.095534606 3.018906 -0.06805038 -1.1400340 -0.71528659
#> 77 S04 I08 4.168658357 3.018906 -0.06805038 0.2595173 0.95828582
#> 90 S04 I09 1.424271924 3.018906 -0.06805038 -0.9965762 -0.53000709
#> 92 S04 I10 6.841363966 3.018906 -0.06805038 0.3965225 3.49398624
#> 2 S05 I01 4.660223902 3.018906 1.45271316 0.4766657 -0.28806053
#> 16 S05 I02 5.669695065 3.018906 1.45271316 0.8280414 0.37003487
#> 22 S05 I03 4.995457790 3.018906 1.45271316 -0.5095749 1.03341395
#> 35 S05 I04 7.328064691 3.018906 1.45271316 -0.6299344 3.48638031
#> 45 S05 I05 2.320683615 3.018906 1.45271316 -0.2453519 -1.90558329
#> 52 S05 I06 4.194267100 3.018906 1.45271316 -0.1193556 -0.15799603
#> 64 S05 I07 3.567232330 3.018906 1.45271316 -1.1400340 0.23564760
#> 74 S05 I08 6.213466846 3.018906 1.45271316 0.2595173 1.48233077
#> 81 S05 I09 3.774613442 3.018906 1.45271316 -0.9965762 0.29957089
#> 93 S05 I10 4.739126529 3.018906 1.45271316 0.3965225 -0.12901473
#> 8 S06 I01 5.583757342 3.018906 1.17598315 0.4766657 0.91220291
#> 20 S06 I02 2.993617949 3.018906 1.17598315 0.8280414 -2.02931224
#> 27 S06 I03 3.621804582 3.018906 1.17598315 -0.5095749 -0.06350925
#> 37 S06 I04 4.160574616 3.018906 1.17598315 -0.6299344 0.59562024
#> 49 S06 I05 4.965155650 3.018906 1.17598315 -0.2453519 1.01561876
#> 56 S06 I06 3.439335981 3.018906 1.17598315 -0.1193556 -0.63619715
#> 66 S06 I07 4.078942442 3.018906 1.17598315 -1.1400340 1.02408772
#> 79 S06 I08 5.508741295 3.018906 1.17598315 0.2595173 1.05433523
#> 85 S06 I09 4.337096790 3.018906 1.17598315 -0.9965762 1.13878424
#> 99 S06 I10 5.403573855 3.018906 1.17598315 0.3965225 0.81216261
#> 9 S07 I01 3.862369611 3.018906 0.44967163 0.4766657 -0.08287330
#> 11 S07 I02 4.239752965 3.018906 0.44967163 0.8280414 -0.05686570
#> 24 S07 I03 3.803692583 3.018906 0.44967163 -0.5095749 0.84469027
#> 38 S07 I04 2.950187897 3.018906 0.44967163 -0.6299344 0.11154505
#> 50 S07 I05 2.535038025 3.018906 0.44967163 -0.2453519 -0.68818735
#> 53 S07 I06 0.129758020 3.018906 0.44967163 -0.1193556 -3.21946359
#> 67 S07 I07 3.207201002 3.018906 0.44967163 -1.1400340 0.87865780
#> 80 S07 I08 2.389105442 3.018906 0.44967163 0.2595173 -1.33898911
#> 82 S07 I09 2.024036700 3.018906 0.44967163 -0.9965762 -0.44796433
#> 96 S07 I10 3.275401614 3.018906 0.44967163 0.3965225 -0.58969812
#> 6 S08 I01 3.626639613 3.018906 -0.91100928 0.4766657 1.04207762
#> 12 S08 I02 3.359845546 3.018906 -0.91100928 0.8280414 0.42390779
#> 25 S08 I03 0.031271577 3.018906 -0.91100928 -0.5095749 -1.56704983
#> 39 S08 I04 1.750341318 3.018906 -0.91100928 -0.6299344 0.27237938
#> 41 S08 I05 -0.003263509 3.018906 -0.91100928 -0.2453519 -1.86580797
#> 54 S08 I06 0.643213891 3.018906 -0.91100928 -0.1193556 -1.34532680
#> 68 S08 I07 1.528201892 3.018906 -0.91100928 -1.1400340 0.56033960
#> 78 S08 I08 2.790771830 3.018906 -0.91100928 0.2595173 0.42335820
#> 83 S08 I09 0.267607628 3.018906 -0.91100928 -0.9965762 -0.84371248
#> 97 S08 I10 1.059291958 3.018906 -0.91100928 0.3965225 -1.44512686
#> 3 S09 I01 2.539404029 3.018906 -1.14838769 0.4766657 0.19222044
#> 13 S09 I02 2.004751767 3.018906 -1.14838769 0.8280414 -0.69380758
#> 26 S09 I03 0.613069285 3.018906 -1.14838769 -0.5095749 -0.74787371
#> 32 S09 I04 0.307863710 3.018906 -1.14838769 -0.6299344 -0.93271982
#> 42 S09 I05 2.768805059 3.018906 -1.14838769 -0.2453519 1.14363901
#> 55 S09 I06 0.535342137 3.018906 -1.14838769 -0.1193556 -1.21582015
#> 65 S09 I07 -0.714388274 3.018906 -1.14838769 -1.1400340 -1.44487216
#> 71 S09 I08 2.040056437 3.018906 -1.14838769 0.2595173 -0.08997879
#> 84 S09 I09 0.736768844 3.018906 -1.14838769 -0.9965762 -0.13717286
#> 94 S09 I10 0.818846698 3.018906 -1.14838769 0.3965225 -1.44819371
#> 10 S10 I01 5.306068299 3.018906 1.04341572 0.4766657 0.76708130
#> 14 S10 I02 3.972546911 3.018906 1.04341572 0.8280414 -0.91781585
#> 28 S10 I03 5.077634202 3.018906 1.04341572 -0.5095749 1.52488779
#> 40 S10 I04 2.787574127 3.018906 1.04341572 -0.6299344 -0.64481282
#> 43 S10 I05 6.528302349 3.018906 1.04341572 -0.2453519 2.71133288
#> 57 S10 I06 4.415610034 3.018906 1.04341572 -0.1193556 0.47264433
#> 70 S10 I07 1.965674999 3.018906 1.04341572 -1.1400340 -0.95661230
#> 72 S10 I08 5.486316125 3.018906 1.04341572 0.2595173 1.16447748
#> 86 S10 I09 2.859077358 3.018906 1.04341572 -0.9965762 -0.20666776
#> 100 S10 I10 4.366894266 3.018906 1.04341572 0.3965225 -0.09194956