A simulation data for illustration purpose
sim_data.Rd
We simulate 50 observations from the linear model where the first seven coefficients are non-zero, (3;3;3;2;2;1;1). Both the covariates and random error are standard normal.
Usage
data(sim_data)
Examples
head(sim_data$Xdata)
#> X1 X2 X3 X4 X5 X6
#> [1,] 0.4938688 0.6745728 -0.01599431 -0.173594764 -0.15676080 -1.4781466
#> [2,] 0.1527933 1.1101406 -0.97355123 1.417645262 0.18332011 -1.2565787
#> [3,] 0.6469137 -0.6880085 0.18403456 -1.070301579 -1.16021886 -0.4515424
#> [4,] 0.6966491 1.7547241 -2.07595628 1.374673169 0.85614296 0.5450787
#> [5,] -0.8270934 0.8706771 -0.92280113 -0.809768501 -2.39429594 0.1899420
#> [6,] 0.3335112 -1.8308588 0.52777766 0.008514338 -0.06878143 0.8163614
#> X7 X8 X9 X10 X11 X12
#> [1,] 0.64552759 0.76399097 1.7200952 0.37321271 1.05804553 0.07409633
#> [2,] -0.72953466 1.53959510 -1.0039090 0.44494620 -0.07473426 -1.19461702
#> [3,] 1.61524840 1.96803115 1.1991238 0.83446932 0.14658944 -0.16839470
#> [4,] -0.06701346 -0.31578540 -1.6941367 1.58268300 0.56421158 0.78844984
#> [5,] 0.27843227 -0.52850079 0.4180275 -0.42003148 0.43225701 0.82697898
#> [6,] -0.60518421 -0.01252144 -0.2070842 -0.00215515 -0.01695024 0.55688218
#> X13 X14 X15 X16 X17 X18
#> [1,] -0.7671330 0.3936248 0.2407562 0.5286542 0.7030770 1.2411240
#> [2,] -1.0297877 -1.2479098 -0.4941196 2.0994402 -1.8550785 -0.1514660
#> [3,] 0.6699009 -0.8386710 1.1856816 -0.4410516 0.4688541 -0.7367578
#> [4,] -0.6299289 0.1711086 0.8000159 0.4493642 1.0848850 0.1393370
#> [5,] -3.1209563 -1.5869946 0.8191613 1.3497690 -1.0829926 -0.2183456
#> [6,] 1.9757931 1.0904216 -1.2362446 -0.6611911 -0.5808356 2.1678370
#> X19 X20 X21 X22 X23 X24
#> [1,] 0.5476494 -0.996027009 0.6687415 -2.00543812 0.3812450 -0.37494918
#> [2,] -1.2899492 -0.009910856 1.0844447 -1.60882025 1.1722107 -0.01523758
#> [3,] 0.2328182 0.507674223 0.1538086 -0.88630117 -0.2698574 -0.82663972
#> [4,] 0.3404630 1.206069263 0.7033567 0.88877945 1.0468763 -0.01610712
#> [5,] 0.8268588 -2.038457874 0.3405517 0.09982088 -2.3338276 1.98461422
#> [6,] 1.8879408 -0.101785490 0.5865799 -1.08232866 -0.5033693 -1.92313773
#> X25 X26 X27 X28 X29 X30
#> [1,] -1.3447689 -0.8085280 0.8779621 0.4056690 1.4432472 -1.5785846
#> [2,] 1.0316120 0.5092188 1.6054660 0.2188235 0.1344156 -0.1936626
#> [3,] 0.3202443 -0.2159083 1.7266991 0.3769999 -0.7442294 1.6299211
#> [4,] -2.8896519 -1.0677098 -1.9782914 -1.1147379 -0.3616368 0.8389075
#> [5,] 0.7077275 -0.5157381 0.7138221 -0.4774671 0.1879979 0.4402057
#> [6,] 0.4827664 -0.1477384 -0.3989589 0.9312830 0.4450135 0.8256067
#> X31 X32 X33 X34 X35 X36
#> [1,] -1.10138488 -0.2726546 -0.00800861 -0.1033703 -0.3408302 0.5579282
#> [2,] -0.67589743 -0.1723999 -0.05800819 -0.9041123 1.2918247 1.6711762
#> [3,] 0.38679555 -2.5915835 0.37692181 0.8285077 -0.3345175 1.1007352
#> [4,] 0.49160994 1.7643920 0.48086882 -0.5436240 -0.8563264 -0.9901235
#> [5,] 2.01162815 0.1697593 -0.24624946 0.6785558 0.8174315 -1.9483840
#> [6,] -0.09625376 0.9766018 0.44145638 -0.7248547 -1.2503635 0.4316713
#> X37 X38 X39 X40 X41 X42
#> [1,] 0.57649073 0.618523403 1.75198775 1.5697131 -0.8896703 -1.3378558
#> [2,] 0.42508424 0.935360312 0.85517908 -0.2417061 1.7230421 1.1585053
#> [3,] -1.40868850 0.376441997 -0.07670675 -0.1404547 -1.6636837 0.9854857
#> [4,] -1.85451593 0.002162026 1.26772066 0.6020652 0.6299653 -1.6745796
#> [5,] 0.02086177 -0.128799013 0.18421120 0.7828179 0.3965772 0.4667499
#> [6,] 1.71064998 0.931488806 0.58478930 -0.0975153 -1.4223685 -0.1737635
#> X43 X44 X45 X46 X47 X48
#> [1,] -0.1363042 0.441212763 -0.05689888 -0.6077480 1.4986589 0.45384986
#> [2,] -0.3390681 0.007773083 -0.34349633 -0.7263391 1.0563620 0.01030955
#> [3,] 1.5177378 0.305639050 1.84974060 0.2559957 0.7916524 -0.72163088
#> [4,] -1.8485834 0.198188472 1.83590225 1.5667756 -0.3770236 1.11786883
#> [5,] 0.5619295 0.295088587 -1.01928974 0.5150058 0.2553740 0.10960015
#> [6,] -0.4385091 -1.623669058 1.01623271 0.4819893 -0.1489744 1.11783085
#> X49 X50 X51 X52 X53 X54
#> [1,] 0.5951266 0.5231754 0.2601639 -1.64394635 -0.7129862 -0.4486962
#> [2,] -0.7949337 -0.3496835 0.1688352 1.41167385 -0.5736820 0.2831755
#> [3,] -0.1169834 1.1788756 1.2910535 0.09534427 2.1109876 0.1649891
#> [4,] 0.7318473 -0.7925615 -1.5078384 1.09268634 1.0465558 1.2332883
#> [5,] 1.1142228 -0.7373309 1.1862115 -0.30638812 0.5976299 -1.6342983
#> [6,] -0.5701648 -1.0308343 -0.4374153 0.35273256 -0.2726438 -1.5970604
#> X55 X56 X57 X58 X59 X60
#> [1,] -0.2891290 1.7309424 1.8044642 1.5783391 1.2279415 1.3210293
#> [2,] -0.3505132 -1.7126504 -1.6455981 1.5680606 0.6373971 -0.7927678
#> [3,] 0.9195651 2.0634599 0.1935423 0.5701249 0.8360154 -0.1910460
#> [4,] -0.7352571 0.3998000 -0.6168755 -0.3099408 -0.4906723 -0.2717122
#> [5,] 0.1759538 0.4042217 -0.4647188 -0.9894735 -0.3316086 -1.3043793
#> [6,] 0.7280478 0.1356307 0.1976618 1.4603834 -0.9153612 -1.9899105