Makes a basic cross-classified design with random intercepts for subjects and items. See vignette("sim_mixed", package = "faux") for examples and details.
Usage
sim_mixed_cc(
sub_n = 100,
item_n = 20,
grand_i = 0,
sub_sd = 1,
item_sd = 1,
error_sd = 1,
empirical = FALSE,
seed = NULL
)Arguments
- sub_n
the number of subjects
- item_n
the number of items
- grand_i
the grand intercept (overall mean)
- sub_sd
the SD of subject random intercepts (or a sub_n-length named vector of random intercepts for each subject)
- item_sd
the SD of item random intercepts (or an item_n-length named vector of random intercepts for each item)
- error_sd
the SD of the error term
- empirical
Should the returned data have these exact parameters? (versus be sampled from a population with these parameters)
- seed
DEPRECATED use set.seed() instead before running this function
Examples
sim_mixed_cc(10, 10)
#> sub_id item_id y grand_i sub_i item_i err
#> 1 S01 I01 1.57974438 0 -0.7456337 1.76558706 0.559791048
#> 15 S01 I02 -3.63731466 0 -0.7456337 -1.42856370 -1.463117233
#> 29 S01 I03 -0.57637869 0 -0.7456337 -0.54175033 0.711005372
#> 31 S01 I04 0.78621551 0 -0.7456337 1.78032478 -0.248475548
#> 44 S01 I05 -0.22859174 0 -0.7456337 0.84556791 -0.328525917
#> 58 S01 I06 -0.20098974 0 -0.7456337 0.01850309 0.526140901
#> 61 S01 I07 0.24599639 0 -0.7456337 -0.44045721 1.432087330
#> 73 S01 I08 -0.31239580 0 -0.7456337 0.83156539 -0.398327460
#> 87 S01 I09 0.10317953 0 -0.7456337 0.48819809 0.360615169
#> 91 S01 I10 -2.14429769 0 -0.7456337 -0.55534081 -0.843323145
#> 7 S02 I01 -1.33637851 0 -0.5524794 1.76558706 -2.549486129
#> 17 S02 I02 -3.08770354 0 -0.5524794 -1.42856370 -1.106660401
#> 30 S02 I03 -2.46580584 0 -0.5524794 -0.54175033 -1.371576075
#> 36 S02 I04 2.05372690 0 -0.5524794 1.78032478 0.825881557
#> 46 S02 I05 0.43688746 0 -0.5524794 0.84556791 0.143798998
#> 59 S02 I06 -1.40036228 0 -0.5524794 0.01850309 -0.866385930
#> 69 S02 I07 -2.76058935 0 -0.5524794 -0.44045721 -1.767652703
#> 75 S02 I08 -0.32851504 0 -0.5524794 0.83156539 -0.607600990
#> 88 S02 I09 -0.87165834 0 -0.5524794 0.48819809 -0.807376995
#> 98 S02 I10 -1.52905366 0 -0.5524794 -0.55534081 -0.421233410
#> 4 S03 I01 1.03139450 0 -1.9265406 1.76558706 1.192348001
#> 18 S03 I02 -3.67030874 0 -1.9265406 -1.42856370 -0.315204487
#> 23 S03 I03 -2.39355832 0 -1.9265406 -0.54175033 0.074732572
#> 33 S03 I04 -1.10884106 0 -1.9265406 1.78032478 -0.962625287
#> 47 S03 I05 -0.55528936 0 -1.9265406 0.84556791 0.525683300
#> 60 S03 I06 -1.87364421 0 -1.9265406 0.01850309 0.034393259
#> 62 S03 I07 -1.64859007 0 -1.9265406 -0.44045721 0.718407700
#> 76 S03 I08 -1.54718507 0 -1.9265406 0.83156539 -0.452209901
#> 89 S03 I09 -3.01636990 0 -1.9265406 0.48819809 -1.578027426
#> 95 S03 I10 -2.37902512 0 -1.9265406 -0.55534081 0.102856249
#> 5 S04 I01 1.98367324 0 -1.1670320 1.76558706 1.385118184
#> 19 S04 I02 -3.26397852 0 -1.1670320 -1.42856370 -0.668382821
#> 21 S04 I03 -2.07170177 0 -1.1670320 -0.54175033 -0.362919441
#> 34 S04 I04 2.91948762 0 -1.1670320 1.78032478 2.306194836
#> 48 S04 I05 -1.96813840 0 -1.1670320 0.84556791 -1.646674304
#> 51 S04 I06 -1.08667009 0 -1.1670320 0.01850309 0.061858816
#> 63 S04 I07 -3.66397545 0 -1.1670320 -0.44045721 -2.056486239
#> 77 S04 I08 -1.02020296 0 -1.1670320 0.83156539 -0.684736354
#> 90 S04 I09 0.27854257 0 -1.1670320 0.48819809 0.957376476
#> 92 S04 I10 -0.52430380 0 -1.1670320 -0.55534081 1.198069014
#> 2 S05 I01 2.54274582 0 0.3917803 1.76558706 0.385378425
#> 16 S05 I02 -2.44473118 0 0.3917803 -1.42856370 -1.407947813
#> 22 S05 I03 -1.14506575 0 0.3917803 -0.54175033 -0.995095758
#> 35 S05 I04 3.76643586 0 0.3917803 1.78032478 1.594330745
#> 45 S05 I05 0.76241433 0 0.3917803 0.84556791 -0.474933909
#> 52 S05 I06 0.59684661 0 0.3917803 0.01850309 0.186563191
#> 64 S05 I07 -0.09645028 0 0.3917803 -0.44045721 -0.047773404
#> 74 S05 I08 1.22595509 0 0.3917803 0.83156539 0.002609366
#> 81 S05 I09 0.02345443 0 0.3917803 0.48819809 -0.856523991
#> 93 S05 I10 0.11659417 0 0.3917803 -0.55534081 0.280154650
#> 8 S06 I01 -0.05108336 0 -2.3417908 1.76558706 0.525120408
#> 20 S06 I02 -4.23773066 0 -2.3417908 -1.42856370 -0.467376131
#> 27 S06 I03 -2.80608003 0 -2.3417908 -0.54175033 0.077461124
#> 37 S06 I04 -2.53895896 0 -2.3417908 1.78032478 -1.977492914
#> 49 S06 I05 -1.30687950 0 -2.3417908 0.84556791 0.189343422
#> 56 S06 I06 -1.41676665 0 -2.3417908 0.01850309 0.906521093
#> 66 S06 I07 -1.94218409 0 -2.3417908 -0.44045721 0.840063954
#> 79 S06 I08 -1.51930957 0 -2.3417908 0.83156539 -0.009084133
#> 85 S06 I09 -1.57237235 0 -2.3417908 0.48819809 0.281220388
#> 99 S06 I10 -3.94825786 0 -2.3417908 -0.55534081 -1.051126212
#> 9 S07 I01 0.57896625 0 -0.6642951 1.76558706 -0.522325709
#> 11 S07 I02 -2.35159857 0 -0.6642951 -1.42856370 -0.258739780
#> 24 S07 I03 -1.43785279 0 -0.6642951 -0.54175033 -0.231807365
#> 38 S07 I04 1.51711352 0 -0.6642951 1.78032478 0.401083837
#> 50 S07 I05 0.62356336 0 -0.6642951 0.84556791 0.442290556
#> 53 S07 I06 -0.55633148 0 -0.6642951 0.01850309 0.089460528
#> 67 S07 I07 -1.39688450 0 -0.6642951 -0.44045721 -0.292132197
#> 80 S07 I08 -1.95481238 0 -0.6642951 0.83156539 -2.122082674
#> 82 S07 I09 1.81665665 0 -0.6642951 0.48819809 1.992753657
#> 96 S07 I10 -0.48763652 0 -0.6642951 -0.55534081 0.731999392
#> 6 S08 I01 3.52376285 0 0.8168627 1.76558706 0.941313066
#> 12 S08 I02 -0.22417343 0 0.8168627 -1.42856370 0.387527537
#> 25 S08 I03 -0.39570890 0 0.8168627 -0.54175033 -0.670821303
#> 39 S08 I04 4.06836623 0 0.8168627 1.78032478 1.471178721
#> 41 S08 I05 1.80568369 0 0.8168627 0.84556791 0.143253063
#> 54 S08 I06 0.64959247 0 0.8168627 0.01850309 -0.185773343
#> 68 S08 I07 -0.23144444 0 0.8168627 -0.44045721 -0.607849959
#> 78 S08 I08 2.93178959 0 0.8168627 0.83156539 1.283361472
#> 83 S08 I09 1.48184930 0 0.8168627 0.48819809 0.176788484
#> 97 S08 I10 0.31922434 0 0.8168627 -0.55534081 0.057702425
#> 3 S09 I01 -0.61745978 0 -2.9608527 1.76558706 0.577805835
#> 13 S09 I02 -3.59092957 0 -2.9608527 -1.42856370 0.798486797
#> 26 S09 I03 -3.77031840 0 -2.9608527 -0.54175033 -0.267715402
#> 32 S09 I04 -0.47516057 0 -2.9608527 1.78032478 0.705367314
#> 42 S09 I05 -1.87373766 0 -2.9608527 0.84556791 0.241547104
#> 55 S09 I06 -3.08887161 0 -2.9608527 0.01850309 -0.146522032
#> 65 S09 I07 -2.77280396 0 -2.9608527 -0.44045721 0.628505926
#> 71 S09 I08 -3.63058442 0 -2.9608527 0.83156539 -1.501297135
#> 84 S09 I09 -0.85762574 0 -2.9608527 0.48819809 1.615028842
#> 94 S09 I10 -4.29781441 0 -2.9608527 -0.55534081 -0.781620924
#> 10 S10 I01 0.58749890 0 -1.0071052 1.76558706 -0.170982974
#> 14 S10 I02 -3.22607119 0 -1.0071052 -1.42856370 -0.790402310
#> 28 S10 I03 -2.16716958 0 -1.0071052 -0.54175033 -0.618314064
#> 40 S10 I04 0.97981417 0 -1.0071052 1.78032478 0.206594576
#> 43 S10 I05 1.82857599 0 -1.0071052 0.84556791 1.990113266
#> 57 S10 I06 -0.92656624 0 -1.0071052 0.01850309 0.062035859
#> 70 S10 I07 -1.22363849 0 -1.0071052 -0.44045721 0.223923903
#> 72 S10 I08 0.59132249 0 -1.0071052 0.83156539 0.766862290
#> 86 S10 I09 -1.09856370 0 -1.0071052 0.48819809 -0.579656607
#> 100 S10 I10 0.20565131 0 -1.0071052 -0.55534081 1.768097309