rnorm_multi.Rdrnorm_multi makes multiple normally distributed vectors with specified relationships
rnorm_multi(n, vars = 3, cors = 0, mu = 0, sd = 1, varnames = NULL, empirical = FALSE)
| n | the number of samples required |
|---|---|
| vars | the number of variables to return |
| cors | the correlations among the variables (can be a single number, vars\*vars matrix, vars\*vars vector, or a vars\*(vars-1)/2 vector) |
| mu | a vector giving the means of the variables (numeric vector of length 1 or vars) |
| sd | the standard deviations of the variables (numeric vector of length 1 or vars) |
| varnames | optional names for the variables (string vector of length vars) |
| empirical | logical. If true, mu, sd and cors specify the empirical not population mean, sd and covariance |
dataframe of vars vectors
#> A B C #> 1 0.750792572 1.424873995 1.01619162 #> 2 -1.042243673 -0.275816637 0.52639710 #> 3 0.878491981 2.434684102 2.13943193 #> 4 -0.500509231 0.536184495 -0.07283162 #> 5 -1.099839859 1.395668514 -1.63782640 #> 6 -1.268203415 -0.516346650 -0.90254750 #> 7 1.062341096 2.085361364 1.05389880 #> 8 -0.072670487 0.713209683 -0.06669068 #> 9 0.799007438 0.832138301 -0.84904571 #> 10 0.274439429 -1.305844900 1.50703213 #> 11 0.483758950 0.961135166 -0.09054153 #> 12 -1.335560745 0.410231530 -0.60767290 #> 13 -1.365394967 -1.989742102 -1.39808947 #> 14 1.058685530 1.942674898 0.79418602 #> 15 -0.059286958 -0.896242839 -0.20963410 #> 16 2.732876265 0.225408869 1.48006414 #> 17 0.520040403 -0.045099167 0.69894364 #> 18 -1.261009283 0.795477058 0.38156161 #> 19 0.152387337 -0.001507871 -1.21894494 #> 20 1.153452339 -0.243123670 1.18059995 #> 21 1.221036402 -1.329257135 -0.72696920 #> 22 0.097150590 -0.488381489 -0.38403747 #> 23 1.847044170 0.215193119 1.03746265 #> 24 -0.213594069 -0.833126883 -0.60370775 #> 25 -0.944882567 -1.108280341 -2.13611782 #> 26 -0.203627401 -0.399418526 0.70486850 #> 27 0.971899030 0.251539268 0.93124695 #> 28 -0.067710098 0.330687769 -0.20521675 #> 29 0.008234813 0.643985743 1.10851032 #> 30 1.491364279 1.606960145 0.51407350 #> 31 -1.491314723 -0.173569149 -0.59828848 #> 32 0.788400822 -0.100235777 -0.87821239 #> 33 -0.275325098 -0.506920585 0.16149729 #> 34 -1.646030985 0.066253801 -2.08692166 #> 35 -0.763940091 0.400133152 0.01055207 #> 36 0.559861711 0.094147624 -0.24183194 #> 37 0.851096610 2.217705492 1.27999821 #> 38 -0.174916339 0.113335133 0.60261481 #> 39 0.579792609 -0.678784282 0.78461866 #> 40 -0.270889155 -0.210612089 -1.77436354 #> 41 0.045616422 0.372504963 -0.50383699 #> 42 -0.469471970 0.436848174 1.27704375 #> 43 1.116862858 -1.388382465 0.45742838 #> 44 0.435540978 -0.674785328 0.76644032 #> 45 0.733199928 -0.330524626 -1.17879303 #> 46 -1.202678340 -3.307972897 -1.77046080 #> 47 -0.829440876 0.569422843 0.04572102 #> 48 0.001784459 -0.684587716 -0.57477015 #> 49 -1.255359394 0.562293801 0.23466705 #> 50 2.329409361 0.563363357 1.59377323 #> 51 -0.074278634 -0.571594535 -1.19274011 #> 52 0.364196656 0.305387342 -0.05428873 #> 53 -0.399415335 1.216792632 -0.33993885 #> 54 -0.237192644 0.568221498 -0.35410471 #> 55 0.395099319 -1.135493621 0.63054444 #> 56 0.309387409 -0.471324983 -0.94209682 #> 57 1.467751541 1.584594817 2.09891298 #> 58 -1.921116085 -1.649349291 -2.52231252 #> 59 0.936534595 0.074720566 -0.05360963 #> 60 0.095504143 -1.141376090 0.49330431 #> 61 -2.100395036 0.162246518 -0.70544430 #> 62 1.437719944 0.530497597 -0.22212529 #> 63 -0.956070367 -0.668411888 -0.93985501 #> 64 0.399297618 0.122294316 0.08451302 #> 65 -0.286806047 2.194503989 0.68953463 #> 66 0.569197516 1.947087832 -0.16302798 #> 67 -1.949290727 -0.897080260 0.12529717 #> 68 0.394865364 0.065765899 -0.62937094 #> 69 -0.503900977 -0.175240568 -0.45048740 #> 70 1.439840970 0.910978267 1.54359768 #> 71 0.887303297 1.141197444 1.30315927 #> 72 -0.380841256 1.126287256 -1.27061154 #> 73 0.046357782 -1.651026981 -1.30496243 #> 74 0.501969183 -0.740051843 -0.21905098 #> 75 -0.327677152 -1.412160664 -1.18738515 #> 76 -0.041519929 -1.656652359 0.41972821 #> 77 -1.237010922 -1.007396285 0.60385664 #> 78 -0.999395609 0.507528583 0.54872639 #> 79 -0.508546869 -0.250979903 0.26216982 #> 80 1.706916012 -1.013138961 -0.24417856 #> 81 -2.250638781 -1.264743365 -1.06547039 #> 82 -1.465750791 -0.014902364 -1.49434831 #> 83 -1.819797525 0.131454869 -0.23351058 #> 84 0.644464430 -1.365010318 -0.43015447 #> 85 0.673776094 -0.023604894 0.61492934 #> 86 0.424058255 -2.337033827 -0.53427314 #> 87 1.838236640 2.403650450 1.78253998 #> 88 1.880351381 -1.351154782 0.05113393 #> 89 0.143202959 -1.430192202 0.26174046 #> 90 1.155769129 -0.186903327 0.04880420 #> 91 0.559813595 -0.862499677 -0.53711912 #> 92 -0.936341076 -0.503527111 -0.99627787 #> 93 -1.049096344 0.032194348 -1.34962850 #> 94 -0.497978396 0.162235981 0.31899526 #> 95 0.565120969 -1.919780662 0.25948394 #> 96 -0.664895124 -0.766542929 -2.21344800 #> 97 0.829280403 0.592403315 -0.43854944 #> 98 -0.017677656 -1.656619109 -0.45664659 #> 99 -0.131923116 -1.896881557 -0.91048949 #> 100 0.146219686 -0.896684910 1.27558673#> A B C #> 1 1.39081618 1.2987554842 -0.54274184 #> 2 0.12474394 -1.4341962212 -0.83385076 #> 3 -1.31234622 -0.1773139308 1.11548187 #> 4 0.13764915 1.4386412100 1.18934079 #> 5 -1.55271429 -0.7649622047 -0.14994138 #> 6 -0.69104513 -1.1444681510 -0.39532881 #> 7 0.28331723 0.6930376611 0.78522733 #> 8 0.62698282 2.6282635812 2.09300595 #> 9 -1.35745434 0.4066573669 2.08806190 #> 10 -0.06698887 -2.4653818490 -1.20034841 #> 11 0.02483736 -0.0410126675 -0.86813242 #> 12 0.79142685 -1.8084817841 -0.37123506 #> 13 -0.88409828 -0.1531384713 0.49194054 #> 14 0.60358179 -1.3450087188 -1.86485444 #> 15 0.74467121 1.2994217211 0.32121665 #> 16 0.26231671 0.7238420836 -0.21253993 #> 17 -0.08841355 0.8852067209 1.38717738 #> 18 -1.18692758 -1.5262910813 -0.22392502 #> 19 1.02473345 0.3596218704 -1.36911133 #> 20 0.29173164 0.0537979231 0.48062427 #> 21 -0.10151671 1.0013139089 0.41741153 #> 22 -0.38409912 0.1086193588 0.27613213 #> 23 -0.17473214 1.3226328277 1.56677087 #> 24 -0.68841302 -0.8568191519 0.22462907 #> 25 -3.40268201 -1.1503624457 2.19509962 #> 26 1.27476703 -0.1608727574 -1.60243175 #> 27 -0.76774044 -0.3136043209 0.40748355 #> 28 -2.93463796 0.0002708164 0.54330948 #> 29 -0.36309562 0.4812979048 0.08769210 #> 30 0.11235349 1.2436686101 0.40667721 #> 31 -0.42112919 1.1241955619 0.82149954 #> 32 0.65132497 -1.9692499386 -1.72175518 #> 33 -0.39001734 1.2671731043 1.01569959 #> 34 1.05444567 0.7305534127 -0.08594560 #> 35 -0.65195625 -0.5195396901 0.41514849 #> 36 -0.95833910 0.2003833523 1.41935582 #> 37 -0.09312194 -1.7133185727 -0.91550462 #> 38 0.15254009 -0.8956400361 -1.25958623 #> 39 0.07535271 0.1033439817 0.16790440 #> 40 -1.61236803 -1.1266807862 1.13697372 #> 41 -0.53493316 -1.6457716779 0.28787366 #> 42 -0.69921708 1.7978716255 1.97787573 #> 43 -0.58102874 -1.3412768754 0.28024767 #> 44 0.39080373 -0.9614140080 -1.51340506 #> 45 0.98098214 -0.2651307385 -1.15693664 #> 46 -1.41159592 0.9114650277 1.44179604 #> 47 -1.05225142 -0.9418931935 -0.20252229 #> 48 -0.40068116 -1.1950503292 -0.24799347 #> 49 1.38669506 0.9589220188 0.06210057 #> 50 -0.35464447 0.8920651923 0.55778884 #> 51 1.53904431 1.2176546707 -0.77686030 #> 52 0.16578814 0.4331779127 -0.40893746 #> 53 -0.60914155 -0.8140949898 1.01178545 #> 54 -2.16814062 -0.2863029111 1.76151931 #> 55 -0.85887053 0.7286470557 1.46281376 #> 56 -2.69493701 -0.5352409200 1.22842833 #> 57 0.25329846 -0.2477709459 -0.33847285 #> 58 -1.42870286 0.8775450724 1.65829026 #> 59 1.59072274 0.1852101502 -0.06485567 #> 60 0.19047954 -0.5331432083 -1.01246796 #> 61 1.12633124 0.4510249139 -0.16385936 #> 62 -0.86502391 0.4564717361 0.97700377 #> 63 0.41198377 2.1574189238 0.29625434 #> 64 -1.33266567 0.1334556024 2.13446398 #> 65 -1.26258869 -0.1687697156 -0.84856895 #> 66 -1.02980626 0.6029517902 0.65050954 #> 67 0.38682167 -1.3061125155 -1.84341380 #> 68 0.23417755 -0.4236220335 -0.99612575 #> 69 0.38936213 1.4383517669 1.20765999 #> 70 0.52613652 0.4669543053 -0.25615525 #> 71 -0.78625593 -0.1890983901 -0.06583813 #> 72 -0.52607091 -0.7252667231 -1.05297080 #> 73 -0.28890582 -1.0441594449 -1.15239430 #> 74 -1.25168046 -2.1088896749 -1.11497680 #> 75 -0.67847213 -1.4529646435 -0.09410188 #> 76 -0.99112777 0.2271702323 1.19094153 #> 77 -0.27328045 -0.6278109929 0.89942994 #> 78 -0.05788188 -0.2011886425 -0.70444974 #> 79 0.44426016 0.3086371578 -0.14094071 #> 80 -1.86391621 -0.2017716705 1.04344653 #> 81 -0.52027246 0.1144370542 0.17047033 #> 82 0.68790768 0.3227648343 -0.35982484 #> 83 0.06379928 1.0963218557 -0.79995582 #> 84 0.71240232 0.6765428974 0.08052656 #> 85 1.00680982 1.3004044786 0.46945908 #> 86 -0.19307208 -0.8284714031 0.42528039 #> 87 0.58798451 0.2443710099 0.22379468 #> 88 0.29882724 0.8581150980 1.22292625 #> 89 1.84074363 1.0970181676 -0.69553217 #> 90 -1.91299092 -1.2784569227 0.17807915 #> 91 0.64255687 -0.5425659342 0.03429620 #> 92 -0.83135155 0.4205869612 0.80329005 #> 93 -1.44298017 0.7499570038 1.75007779 #> 94 -0.80721771 -1.3782307639 -0.83537525 #> 95 -0.56849692 -0.2160438395 -0.20213552 #> 96 -1.43237796 1.0144647169 1.92039006 #> 97 -0.17925759 -1.5018571840 -1.44550197 #> 98 -0.35894894 0.9200034445 1.16485148 #> 99 0.03204885 -0.5520698956 0.01677568 #> 100 0.83799420 1.2748026410 -0.90440295