Makes a basic cross-classified design with random intercepts for subjects and items. See vignette("sim_mixed", package = "faux") for examples and details.
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
)the number of subjects
the number of items
the grand intercept (overall mean)
the SD of subject random intercepts (or a sub_n-length named vector of random intercepts for each subject)
the SD of item random intercepts (or an item_n-length named vector of random intercepts for each item)
the SD of the error term
Should the returned data have these exact parameters? (versus be sampled from a population with these parameters)
DEPRECATED use set.seed() instead before running this function
a tbl
sim_mixed_cc(10, 10)
#> sub_id item_id y grand_i sub_i item_i err
#> 1 S01 I01 0.539828264 0 1.4466654 -0.05547189 -0.851365200
#> 15 S01 I02 2.458954583 0 1.4466654 1.60304543 -0.590756195
#> 29 S01 I03 0.502405326 0 1.4466654 0.07045021 -1.014710231
#> 31 S01 I04 -0.722684591 0 1.4466654 -1.87230959 -0.297040353
#> 44 S01 I05 0.986449277 0 1.4466654 0.38762466 -0.847840735
#> 58 S01 I06 3.329230931 0 1.4466654 0.03769370 1.844871881
#> 61 S01 I07 2.044654168 0 1.4466654 -0.24743349 0.845422308
#> 73 S01 I08 -0.182433943 0 1.4466654 -0.32313149 -1.305967802
#> 87 S01 I09 0.384890033 0 1.4466654 -1.37277135 0.310996030
#> 91 S01 I10 -0.098701084 0 1.4466654 -0.66574635 -0.879620082
#> 7 S02 I01 0.913922778 0 1.5363287 -0.05547189 -0.566934085
#> 17 S02 I02 2.923221218 0 1.5363287 1.60304543 -0.216152959
#> 30 S02 I03 1.158060299 0 1.5363287 0.07045021 -0.448718658
#> 36 S02 I04 0.370398881 0 1.5363287 -1.87230959 0.706379720
#> 46 S02 I05 1.039710295 0 1.5363287 0.38762466 -0.884243116
#> 59 S02 I06 1.107979704 0 1.5363287 0.03769370 -0.466042745
#> 69 S02 I07 1.348072775 0 1.5363287 -0.24743349 0.059177516
#> 75 S02 I08 1.548987078 0 1.5363287 -0.32313149 0.335789820
#> 88 S02 I09 1.200480759 0 1.5363287 -1.37277135 1.036923358
#> 98 S02 I10 -0.444342719 0 1.5363287 -0.66574635 -1.314925117
#> 4 S03 I01 1.096851906 0 1.1174560 -0.05547189 0.034867771
#> 18 S03 I02 3.916220065 0 1.1174560 1.60304543 1.195718616
#> 23 S03 I03 0.601589336 0 1.1174560 0.07045021 -0.586316893
#> 33 S03 I04 -0.005270974 0 1.1174560 -1.87230959 0.749582593
#> 47 S03 I05 2.036312281 0 1.1174560 0.38762466 0.531231598
#> 60 S03 I06 1.116454351 0 1.1174560 0.03769370 -0.038695371
#> 62 S03 I07 1.570131557 0 1.1174560 -0.24743349 0.700109026
#> 76 S03 I08 2.457661754 0 1.1174560 -0.32313149 1.663337223
#> 89 S03 I09 -1.523544121 0 1.1174560 -1.37277135 -1.268228795
#> 95 S03 I10 -1.058033119 0 1.1174560 -0.66574635 -1.509742789
#> 5 S04 I01 1.222182960 0 0.6907696 -0.05547189 0.586885207
#> 19 S04 I02 1.926986983 0 0.6907696 1.60304543 -0.366828084
#> 21 S04 I03 1.321559774 0 0.6907696 0.07045021 0.560339927
#> 34 S04 I04 -2.862660700 0 0.6907696 -1.87230959 -1.681120750
#> 48 S04 I05 2.824309775 0 0.6907696 0.38762466 1.745915474
#> 51 S04 I06 0.162542470 0 0.6907696 0.03769370 -0.565920869
#> 63 S04 I07 -1.537915089 0 0.6907696 -0.24743349 -1.981251238
#> 77 S04 I08 1.442280393 0 0.6907696 -0.32313149 1.074642245
#> 90 S04 I09 1.097917359 0 0.6907696 -1.37277135 1.779919068
#> 92 S04 I10 1.366424593 0 0.6907696 -0.66574635 1.341401306
#> 2 S05 I01 0.464900041 0 0.8463048 -0.05547189 -0.325932849
#> 16 S05 I02 3.659557877 0 0.8463048 1.60304543 1.210207673
#> 22 S05 I03 2.314319161 0 0.8463048 0.07045021 1.397564178
#> 35 S05 I04 -2.260642166 0 0.8463048 -1.87230959 -1.234637354
#> 45 S05 I05 1.980036410 0 0.8463048 0.38762466 0.746106972
#> 52 S05 I06 0.147804282 0 0.8463048 0.03769370 -0.736194195
#> 64 S05 I07 -0.154331374 0 0.8463048 -0.24743349 -0.753202660
#> 74 S05 I08 0.572594440 0 0.8463048 -0.32313149 0.049421155
#> 81 S05 I09 -1.622478976 0 0.8463048 -1.37277135 -1.096012405
#> 93 S05 I10 -1.014837507 0 0.8463048 -0.66574635 -1.195395932
#> 8 S06 I01 -1.215109529 0 -1.0629866 -0.05547189 -0.096651065
#> 20 S06 I02 1.331529995 0 -1.0629866 1.60304543 0.791471146
#> 27 S06 I03 -0.161944835 0 -1.0629866 0.07045021 0.830591536
#> 37 S06 I04 -3.317529775 0 -1.0629866 -1.87230959 -0.382233608
#> 49 S06 I05 -1.523124280 0 -1.0629866 0.38762466 -0.847762363
#> 56 S06 I06 -0.290519155 0 -1.0629866 0.03769370 0.734773723
#> 66 S06 I07 -3.001286036 0 -1.0629866 -0.24743349 -1.690865967
#> 79 S06 I08 -0.942607888 0 -1.0629866 -0.32313149 0.443510182
#> 85 S06 I09 -1.734377032 0 -1.0629866 -1.37277135 0.701380895
#> 99 S06 I10 -3.028493795 0 -1.0629866 -0.66574635 -1.299760865
#> 9 S07 I01 -2.708236570 0 -1.3790310 -0.05547189 -1.273733637
#> 11 S07 I02 0.204532333 0 -1.3790310 1.60304543 -0.019482048
#> 24 S07 I03 -1.946900401 0 -1.3790310 0.07045021 -0.638319561
#> 38 S07 I04 -2.784831865 0 -1.3790310 -1.87230959 0.466508771
#> 50 S07 I05 -3.155804146 0 -1.3790310 0.38762466 -2.164397760
#> 53 S07 I06 0.846345027 0 -1.3790310 0.03769370 2.187682374
#> 67 S07 I07 -1.355210766 0 -1.3790310 -0.24743349 0.271253772
#> 80 S07 I08 -0.416822782 0 -1.3790310 -0.32313149 1.285339757
#> 82 S07 I09 -1.491604729 0 -1.3790310 -1.37277135 1.260197665
#> 96 S07 I10 -1.638103573 0 -1.3790310 -0.66574635 0.406673825
#> 6 S08 I01 2.069487408 0 0.5959609 -0.05547189 1.528998345
#> 12 S08 I02 2.609873101 0 0.5959609 1.60304543 0.410866724
#> 25 S08 I03 0.269721248 0 0.5959609 0.07045021 -0.396689908
#> 39 S08 I04 -2.439487260 0 0.5959609 -1.87230959 -1.163138620
#> 41 S08 I05 -1.904078036 0 0.5959609 0.38762466 -2.887663647
#> 54 S08 I06 1.348249020 0 0.5959609 0.03769370 0.714594371
#> 68 S08 I07 -0.416063977 0 0.5959609 -0.24743349 -0.764591436
#> 78 S08 I08 1.161888240 0 0.5959609 -0.32313149 0.889058782
#> 83 S08 I09 -2.320525450 0 0.5959609 -1.37277135 -1.543715051
#> 97 S08 I10 -0.155933490 0 0.5959609 -0.66574635 -0.086148088
#> 3 S09 I01 0.693378590 0 -0.9259751 -0.05547189 1.674825554
#> 13 S09 I02 1.078655779 0 -0.9259751 1.60304543 0.401585429
#> 26 S09 I03 -1.487040692 0 -0.9259751 0.07045021 -0.631515822
#> 32 S09 I04 -2.807753014 0 -0.9259751 -1.87230959 -0.009468347
#> 42 S09 I05 0.616025664 0 -0.9259751 0.38762466 1.154376080
#> 55 S09 I06 -0.423517401 0 -0.9259751 0.03769370 0.464763977
#> 65 S09 I07 -0.800553812 0 -0.9259751 -0.24743349 0.372854757
#> 71 S09 I08 -1.324253640 0 -0.9259751 -0.32313149 -0.075147071
#> 84 S09 I09 -2.807453486 0 -0.9259751 -1.37277135 -0.508707060
#> 94 S09 I10 -2.517258583 0 -0.9259751 -0.66574635 -0.925537153
#> 10 S10 I01 -0.011054028 0 0.5909047 -0.05547189 -0.546486891
#> 14 S10 I02 2.590772875 0 0.5909047 1.60304543 0.396822697
#> 28 S10 I03 0.292023512 0 0.5909047 0.07045021 -0.369331445
#> 40 S10 I04 -0.564232984 0 0.5909047 -1.87230959 0.717171855
#> 43 S10 I05 2.675350158 0 0.5909047 0.38762466 1.696820747
#> 57 S10 I06 -0.716730186 0 0.5909047 0.03769370 -1.345328635
#> 70 S10 I07 -0.604798022 0 0.5909047 -0.24743349 -0.948269281
#> 72 S10 I08 1.841309978 0 0.5909047 -0.32313149 1.573536720
#> 86 S10 I09 0.383531186 0 0.5909047 -1.37277135 1.165397785
#> 100 S10 I10 1.146449733 0 0.5909047 -0.66574635 1.221291335