{"id":462,"date":"2018-09-24T13:47:14","date_gmt":"2018-09-24T04:47:14","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/how-to-conduct-principal-component-analysis-in-r\/"},"modified":"2024-10-12T18:12:49","modified_gmt":"2024-10-12T09:12:49","slug":"how-to-conduct-principal-component-analysis-in-r","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/how-to-conduct-principal-component-analysis-in-r\/","title":{"rendered":"R \u3067\u4e3b\u6210\u5206\u5206\u6790\u3092\u884c\u3046\u65b9\u6cd5"},"content":{"rendered":"\n

\u4e3b\u6210\u5206\u5206\u6790\u306f\u3001\u305f\u304f\u3055\u3093\u306e\u5909\u6570\u3092\u3001\u5408\u6210\u5909\u6570\u306b\u96c6\u7d04\u3059\u308b\u5206\u6790\u3002<\/p>\n\n\n\n

\u4e3b\u5f79\u7d1a\u306e\u4e3b\u6210\u5206\u304b\u3089\u7b2c\u4e00\u4e3b\u6210\u5206\u3001\u7b2c\u4e8c\u4e3b\u6210\u5206\u3001\u30fb\u30fb\u30fb\u3068\u547c\u3070\u308c\u308b\u3002<\/p>\n\n\n\n

\u305f\u304f\u3055\u3093\u306e\u5909\u6570\u3092\u3001\u3044\u304f\u3064\u304b\u306e\u4e3b\u6210\u5206\u3067\u307e\u3068\u3081\u308b\u3068\u3001\u60c5\u5831\u304c\u307e\u3068\u307e\u3063\u3066\u8003\u3048\u3084\u3059\u304f\u306a\u308b\u3002<\/p>\n\n\n\n\n\n\n\n

R\u3067\u4e3b\u6210\u5206\u5206\u6790\u3092\u884c\u3046\u65b9\u6cd5<\/h2>\n\n\n\n

princomp()\u3092\u4f7f\u3046\u3002<\/p>\n\n\n\n

cor=T\u3092\u6307\u5b9a\u3057\u3066\u4f7f\u3046\u3002<\/p>\n\n\n\n

cor=T\u306f\u76f8\u95a2\u4fc2\u6570\u884c\u5217\u3092\u4f7f\u3046\u6307\u793a\u3002<\/p>\n\n\n\n

R\u3067\u4e3b\u6210\u5206\u5206\u6790\u3000\u4f8b\u984c1\uff1a\u7c73\u56fd\u306e\u5dde\u3092\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0<\/h3>\n\n\n\n

USArrests\u30c7\u30fc\u30bf\u3068\u3044\u3046\u7c73\u56fd\u306e\u5dde\u3054\u3068\u306e\u72af\u7f6a\u6570\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u4e3b\u6210\u5206\u306b\u307e\u3068\u3081\u3066\u307f\u308b\u3002<\/p>\n\n\n\n

\u72af\u7f6a\u30c7\u30fc\u30bf\u306f3\u7a2e\u985e\uff08Murder, Assault, Rape\uff09\u3002<\/p>\n\n\n\n

\u90fd\u5e02\u4eba\u53e3\u30c7\u30fc\u30bf\u3092\u5408\u308f\u305b\u3066\uff14\u3064\u306e\u5909\u6570\u3002<\/p>\n\n\n\n

\u4e3b\u6210\u5206\u5206\u6790\u306e\u672c\u4f53\u3092\u5b9f\u65bd\u3057\u3066\u3001\u4e3b\u6210\u5206\u306e\u91cd\u8981\u5ea6\u3092\u78ba\u8a8d\u3001\u4e3b\u6210\u5206\u8ca0\u8377\u91cf\u3092\u78ba\u8a8d\u3001\u4e3b\u6210\u5206\u5f97\u70b9\u3092\u78ba\u8a8d\u3001\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u63cf\u304b\u305b\u308b\u3068\u3044\u3046\u9806\u756a\u3067\u9032\u3081\u3066\u3044\u304f\u3002<\/p>\n\n\n\n

(<\/span>pc.cr <-<\/span> princomp<\/span>(<\/span>USArrests,<\/span> cor =<\/span> T<\/span>))<\/span>\nsummary<\/span>(<\/span>pc.cr)<\/span>\nloadings<\/span>(<\/span>pc.cr)<\/span>\npc.cr$<\/span>score\nbiplot<\/span>(<\/span>pc.cr)<\/span>\n<\/code><\/pre>\n\n\n\n
\u5909\u6570\u304c4\u3064\u306a\u306e\u3067\u3001\u5408\u6210\u5909\u6570\u306fComp.1~4\u306e4\u3064\u304c\u4f5c\u6210\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
><\/span> (<\/span>pc.cr <-<\/span> princomp<\/span>(<\/span>USArrests,<\/span> cor =<\/span> T<\/span>))<\/span>\nCall:<\/span>\nprincomp<\/span>(<\/span>x =<\/span> USArrests,<\/span> cor =<\/span> T<\/span>)<\/span>\nStandard deviations:<\/span>\nComp.1    Comp.2    Comp.3    Comp.4\n1.5748783<\/span> 0.9948694<\/span> 0.5971291<\/span> 0.4164494<\/span>\n4<\/span>  variables and  50<\/span> observations.\n<\/code><\/pre>\n\n\n\n
4\u3064\u306e\u5408\u6210\u5909\u6570\u306e\u91cd\u8981\u6027\u306f\u3001\u5408\u6210\u5909\u6570\u306e\u3070\u3089\u3064\u304d\uff08Standard deviation\uff09\u3067\u8a55\u4fa1\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
\u3070\u3089\u3064\u304d\u304c\u30c7\u30fc\u30bf\u306e\u60c5\u5831\u3092\u542b\u3093\u3067\u3044\u308b\u6307\u6a19\u306b\u306a\u308b\u3002<\/p>\n\n\n\n
\u3070\u3089\u3064\u304d\u304c\u5927\u304d\u3044\u307b\u3046\u304c\u3088\u308a\u591a\u304f\u306e\u60c5\u5831\u3092\u542b\u3093\u3067\u3044\u308b\u3002<\/p>\n\n\n\n
><\/span> summary<\/span>(<\/span>pc.cr)<\/span>\nImportance of components:<\/span>\nComp.1    Comp.2    Comp.3     Comp.4\nStandard deviation     1.5748783<\/span> 0.9948694<\/span> 0.5971291<\/span> 0.41644938<\/span>\nProportion of Variance 0.6200604<\/span> 0.2474413<\/span> 0.0891408<\/span> 0.04335752<\/span>\nCumulative Proportion  0.6200604<\/span> 0.8675017<\/span> 0.9566425<\/span> 1.00000000<\/span>\n<\/code><\/pre>\n\n\n\n
\u8ca0\u8377\u91cf\u306e\u5927\u304d\u3055\u3084\u7b26\u53f7\u304b\u3089\u5408\u6210\u5909\u6570\u3092\u89e3\u91c8\u3059\u308b\u3002<\/p>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206Comp.1\u306fMurder\u3001Assault\u3001Rape\u306e\u8ca0\u8377\u91cf\u304c\u5927\u304d\u304f\u3001UrbanPop\u306f\u5c0f\u3055\u3081\u3060\u3002<\/p>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206\u306fMurder, Assault, Rape\u304c\u591a\u3044\u304b\u5c11\u306a\u3044\u304b\u306e\u5408\u6210\u5909\u6570\u3068\u89e3\u91c8\u3059\u308b\u3002<\/p>\n\n\n\n
Comp.2\u306fUrbanPop\u304c\u8ca0\u306e\u5024\u3067\u5927\u304d\u3044\u3002<\/p>\n\n\n\n
Murder\u3082\u305d\u3053\u305d\u3053\u8ca0\u8377\u91cf\u304c\u5927\u304d\u3044\u304c\u3053\u3061\u3089\u306f\u5272\u611b\u3057\u3066\u3001\u7b2c\u4e8c\u4e3b\u6210\u5206\u306f\u90fd\u5e02\u90e8\u306e\u4eba\u53e3\u306e\u591a\u3044\u5c11\u306a\u3044\u3092\u8868\u3057\u3066\u3044\u308b\u3068\u89e3\u91c8\u3059\u308b\u3002<\/p>\n\n\n\n
><\/span> loadings<\/span>(<\/span>pc.cr)<\/span>\nLoadings:<\/span>\nComp.1 Comp.2 Comp.3 Comp.4\nMurder    0.536<\/span>  0.418<\/span>  0.341<\/span>  0.649<\/span>\nAssault   0.583<\/span>  0.188<\/span>  0.268<\/span> -<\/span>0.743<\/span>\nUrbanPop  0.278<\/span> -<\/span>0.873<\/span>  0.378<\/span>  0.134<\/span>\nRape      0.543<\/span> -<\/span>0.167<\/span> -<\/span>0.818<\/span>\nComp.1 Comp.2 Comp.3 Comp.4\nSS loadings      1.00<\/span>   1.00<\/span>   1.00<\/span>   1.00<\/span>\nProportion Var   0.25<\/span>   0.25<\/span>   0.25<\/span>   0.25<\/span>\nCumulative Var   0.25<\/span>   0.50<\/span>   0.75<\/span>   1.00<\/span>\n<\/code><\/pre>\n\n\n\n
\u5408\u6210\u5909\u6570\uff08\u5f97\u70b9\u3001\u30b9\u30b3\u30a2\u3001Score\uff09\u3092\u8868\u793a\u3057\u3066\u307f\u308b\u3002<\/p>\n\n\n\n
\u305d\u308c\u305e\u308c\u306e\u5dde\u306e\u72af\u7f6a\u3001\u4eba\u53e3\u30c7\u30fc\u30bf\u306b\u3001\u5404\u5909\u6570\u306e\u8ca0\u8377\u91cf\u3092\u304b\u3051\u3066\u8db3\u3057\u5408\u308f\u305b\u308b\u3068\u3001\u5dde\u3054\u3068\u306e\u5408\u6210\u5909\u6570\uff1d\u4e3b\u6210\u5206\u5f97\u70b9\u304c\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n
><\/span> pc.cr$<\/span>score\nComp.1      Comp.2      Comp.3       Comp.4\nAlabama         0.98556588<\/span>  1.13339238<\/span>  0.44426879<\/span>  0.156267145<\/span>\nAlaska          1.95013775<\/span>  1.07321326<\/span> -<\/span>2.04000333<\/span> -<\/span>0.438583440<\/span>\nArizona         1.76316354<\/span> -<\/span>0.74595678<\/span> -<\/span>0.05478082<\/span> -<\/span>0.834652924<\/span>\nArkansas       -<\/span>0.14142029<\/span>  1.11979678<\/span> -<\/span>0.11457369<\/span> -<\/span>0.182810896<\/span>\nCalifornia      2.52398013<\/span> -<\/span>1.54293399<\/span> -<\/span>0.59855680<\/span> -<\/span>0.341996478<\/span>\nColorado        1.51456286<\/span> -<\/span>0.98755509<\/span> -<\/span>1.09500699<\/span>  0.001464887<\/span>\nConnecticut    -<\/span>1.35864746<\/span> -<\/span>1.08892789<\/span>  0.64325757<\/span> -<\/span>0.118469414<\/span>\nDelaware        0.04770931<\/span> -<\/span>0.32535892<\/span>  0.71863294<\/span> -<\/span>0.881977637<\/span>\nFlorida         3.01304227<\/span>  0.03922851<\/span>  0.57682949<\/span> -<\/span>0.096284752<\/span>\nGeorgia         1.63928304<\/span>  1.27894240<\/span>  0.34246008<\/span>  1.076796812<\/span>\nHawaii         -<\/span>0.91265715<\/span> -<\/span>1.57046001<\/span> -<\/span>0.05078189<\/span>  0.902806864<\/span>\nIdaho          -<\/span>1.63979985<\/span>  0.21097292<\/span> -<\/span>0.25980134<\/span> -<\/span>0.499104101<\/span>\nIllinois        1.37891072<\/span> -<\/span>0.68184119<\/span>  0.67749564<\/span> -<\/span>0.122021292<\/span>\nIndiana        -<\/span>0.50546136<\/span> -<\/span>0.15156254<\/span> -<\/span>0.22805484<\/span>  0.424665700<\/span>\nIowa           -<\/span>2.25364607<\/span> -<\/span>0.10405407<\/span> -<\/span>0.16456432<\/span>  0.017555916<\/span>\nKansas         -<\/span>0.79688112<\/span> -<\/span>0.27016470<\/span> -<\/span>0.02555331<\/span>  0.206496428<\/span>\nKentucky       -<\/span>0.75085907<\/span>  0.95844029<\/span>  0.02836942<\/span>  0.670556671<\/span>\nLouisiana       1.56481798<\/span>  0.87105466<\/span>  0.78348036<\/span>  0.454728038<\/span>\nMaine          -<\/span>2.39682949<\/span>  0.37639158<\/span>  0.06568239<\/span> -<\/span>0.330459817<\/span>\nMaryland        1.76336939<\/span>  0.42765519<\/span>  0.15725013<\/span> -<\/span>0.559069521<\/span>\nMassachusetts  -<\/span>0.48616629<\/span> -<\/span>1.47449650<\/span>  0.60949748<\/span> -<\/span>0.179598963<\/span>\nMichigan        2.10844115<\/span> -<\/span>0.15539682<\/span> -<\/span>0.38486858<\/span>  0.102372019<\/span>\nMinnesota      -<\/span>1.69268181<\/span> -<\/span>0.63226125<\/span> -<\/span>0.15307043<\/span>  0.067316885<\/span>\nMississippi     0.99649446<\/span>  2.39379599<\/span>  0.74080840<\/span>  0.215508013<\/span>\nMissouri        0.69678733<\/span> -<\/span>0.26335479<\/span> -<\/span>0.37744383<\/span>  0.225824461<\/span>\nMontana        -<\/span>1.18545191<\/span>  0.53687437<\/span> -<\/span>0.24688932<\/span>  0.123742227<\/span>\nNebraska       -<\/span>1.26563654<\/span> -<\/span>0.19395373<\/span> -<\/span>0.17557391<\/span>  0.015892888<\/span>\nNevada          2.87439454<\/span> -<\/span>0.77560020<\/span> -<\/span>1.16338049<\/span>  0.314515476<\/span>\nNew Hampshire  -<\/span>2.38391541<\/span> -<\/span>0.01808229<\/span> -<\/span>0.03685539<\/span> -<\/span>0.033137338<\/span>\nNew Jersey      0.18156611<\/span> -<\/span>1.44950571<\/span>  0.76445355<\/span>  0.243382700<\/span>\nNew Mexico      1.98002375<\/span>  0.14284878<\/span> -<\/span>0.18369218<\/span> -<\/span>0.339533597<\/span>\nNew York        1.68257738<\/span> -<\/span>0.82318414<\/span>  0.64307509<\/span> -<\/span>0.013484369<\/span>\nNorth Carolina  1.12337861<\/span>  2.22800338<\/span>  0.86357179<\/span> -<\/span>0.954381667<\/span>\nNorth Dakota   -<\/span>2.99222562<\/span>  0.59911882<\/span> -<\/span>0.30127728<\/span> -<\/span>0.253987327<\/span>\nOhio           -<\/span>0.22596542<\/span> -<\/span>0.74223824<\/span>  0.03113912<\/span>  0.473915911<\/span>\nOklahoma       -<\/span>0.31178286<\/span> -<\/span>0.28785421<\/span>  0.01530979<\/span>  0.010332321<\/span>\nOregon          0.05912208<\/span> -<\/span>0.54141145<\/span> -<\/span>0.93983298<\/span> -<\/span>0.237780688<\/span>\nPennsylvania   -<\/span>0.88841582<\/span> -<\/span>0.57110035<\/span>  0.40062871<\/span>  0.359061124<\/span>\nRhode Island   -<\/span>0.86377206<\/span> -<\/span>1.49197842<\/span>  1.36994570<\/span> -<\/span>0.613569430<\/span>\nSouth Carolina  1.32072380<\/span>  1.93340466<\/span>  0.30053779<\/span> -<\/span>0.131466685<\/span>\nSouth Dakota   -<\/span>1.98777484<\/span>  0.82334324<\/span> -<\/span>0.38929333<\/span> -<\/span>0.109571764<\/span>\nTennessee       0.99974168<\/span>  0.86025130<\/span> -<\/span>0.18808295<\/span>  0.652864291<\/span>\nTexas           1.35513821<\/span> -<\/span>0.41248082<\/span>  0.49206886<\/span>  0.643195491<\/span>\nUtah           -<\/span>0.55056526<\/span> -<\/span>1.47150461<\/span> -<\/span>0.29372804<\/span> -<\/span>0.082314047<\/span>\nVermont        -<\/span>2.80141174<\/span>  1.40228806<\/span> -<\/span>0.84126309<\/span> -<\/span>0.144889914<\/span>\nVirginia       -<\/span>0.09633491<\/span>  0.19973529<\/span> -<\/span>0.01171254<\/span>  0.211370813<\/span>\nWashington     -<\/span>0.21690338<\/span> -<\/span>0.97012418<\/span> -<\/span>0.62487094<\/span> -<\/span>0.220847793<\/span>\nWest Virginia  -<\/span>2.10858541<\/span>  1.42484670<\/span> -<\/span>0.10477467<\/span>  0.131908831<\/span>\nWisconsin      -<\/span>2.07971417<\/span> -<\/span>0.61126862<\/span>  0.13886500<\/span>  0.184103743<\/span>\nWyoming        -<\/span>0.62942666<\/span>  0.32101297<\/span>  0.24065923<\/span> -<\/span>0.166651801<\/span>\n<\/code><\/pre>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u3092X\u8ef8\u3068Y\u8ef8\u306b\u3068\u308a\u3001\u5dde\u3092\u30d7\u30ed\u30c3\u30c8\u3057\u3066\u307f\u308b\u3068\u3001\u4e0b\u8a18\u306e\u3088\u3046\u306b\u63cf\u3051\u308b\u3002<\/p>\n\n\n\n
\u72af\u7f6a\u304c\u591a\u3044\u5c11\u306a\u3044\u3068\u90fd\u5e02\u90e8\u4eba\u53e3\u304c\u591a\u3044\u5c11\u306a\u3044\u3067\u3001\u5dde\u3092\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u3067\u304d\u308b\u3002<\/p>\n\n\n\n
4\u3064\u306e\u30c7\u30fc\u30bf\u304b\u3089\u4e8c\u8ef8\u306b\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u3067\u304d\u305f\u3002<\/p>\n\n\n\n
\u60c5\u5831\u304c\u96c6\u7d04\u3067\u304d\u305f\u3068\u8a00\u3048\u308b\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
R\u3067\u4e3b\u6210\u5206\u5206\u6790\u3000\u4f8b\u984c2\uff1a\u7c73\u56fd\u4e0a\u4f4d\u88c1\u5224\u6240\u306e\u5dde\u5224\u4e8b\u3092\u5f01\u8b77\u58eb\u304c\u8a55\u4fa1\u3057\u305f\uff01<\/h3>\n\n\n\n
USJudgeRatings\u30c7\u30fc\u30bf\u306f\u3001\u7c73\u56fd\u306e\u4e0a\u4f4d\u88c1\u5224\u6240\u306e\u5dde\u5224\u4e8b43\u4eba\u3092\u5f01\u8b77\u58eb\u304c12\u306e\u89b3\u70b9\u3067\u8a55\u4fa1\u3057\u305f\u30c7\u30fc\u30bf\u3002<\/p>\n\n\n\n
\u4e3b\u6210\u5206\u5206\u6790\u672c\u4f53\u3001Standard deviation\u306e\u30c1\u30a7\u30c3\u30af\u3001\u8ca0\u8377\u91cf\u306e\u30c1\u30a7\u30c3\u30af\u3001\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u306e\u30d7\u30ed\u30c3\u30c8\u306e\u9806\u756a\u306b\u9032\u3081\u308b\u3002<\/p>\n\n\n\n
princomp<\/span>(<\/span>USJudgeRatings,<\/span> cor=<\/span>T<\/span>)<\/span>\nsummary<\/span>(<\/span>princomp<\/span>(<\/span>USJudgeRatings,<\/span> cor=<\/span>T<\/span>))<\/span>\nloadings<\/span>(<\/span>princomp<\/span>(<\/span>USJudgeRatings,<\/span> cor=<\/span>T<\/span>))<\/span>\nbiplot<\/span>(<\/span>princomp<\/span>(<\/span>USJudgeRatings,<\/span> cor=<\/span>T<\/span>))<\/span>\n<\/code><\/pre>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u306eStandard deviation\u304c\uff11\u3092\u8d85\u3048\u3066\u3044\u308b\u306e\u304c\u308f\u304b\u308b\u3002<\/p>\n\n\n\n
\u5909\u6570\u304c12\u500b\u3042\u308b\u306e\u3067\u3001\u5408\u6210\u5909\u6570\u308212\u500b\u4f5c\u3089\u308c\u308b\u3002<\/p>\n\n\n\n
><\/span> princomp<\/span>(<\/span>USJudgeRatings,<\/span> cor=<\/span>T<\/span>)<\/span>\nCall:<\/span>\nprincomp<\/span>(<\/span>x =<\/span> USJudgeRatings,<\/span> cor =<\/span> T<\/span>)<\/span>\nStandard deviations:<\/span>\nComp.1     Comp.2     Comp.3     Comp.4     Comp.5     Comp.6     Comp.7\n3.18331647<\/span> 1.05078398<\/span> 0.57697626<\/span> 0.50383231<\/span> 0.29060762<\/span> 0.19309598<\/span> 0.14029545<\/span>\nComp.8     Comp.9    Comp.10    Comp.11    Comp.12\n0.12415832<\/span> 0.08850690<\/span> 0.07491146<\/span> 0.05708042<\/span> 0.04539134<\/span>\n12<\/span>  variables and  43<\/span> observations.\n<\/code><\/pre>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u306794%\u3092\u8aac\u660e\u3057\u3066\u3044\u308b\u3068\u89e3\u91c8\u3067\u304d\u308b\u3002<\/p>\n\n\n\n
><\/span> summary<\/span>(<\/span>princomp<\/span>(<\/span>USJudgeRatings,<\/span> cor=<\/span>T<\/span>))<\/span>\nImportance of components:<\/span>\nComp.1     Comp.2    Comp.3     Comp.4      Comp.5\nStandard deviation     3.1833165<\/span> 1.05078398<\/span> 0.5769763<\/span> 0.50383231<\/span> 0.290607615<\/span>\nProportion of Variance 0.8444586<\/span> 0.09201225<\/span> 0.0277418<\/span> 0.02115392<\/span> 0.007037732<\/span>\nCumulative Proportion  0.8444586<\/span> 0.93647089<\/span> 0.9642127<\/span> 0.98536661<\/span> 0.992404341<\/span>\nComp.6      Comp.7      Comp.8       Comp.9      Comp.10\nStandard deviation     0.193095982<\/span> 0.140295449<\/span> 0.124158319<\/span> 0.0885069038<\/span> 0.0749114592<\/span>\nProportion of Variance 0.003107172<\/span> 0.001640234<\/span> 0.001284607<\/span> 0.0006527893<\/span> 0.0004676439<\/span>\nCumulative Proportion  0.995511513<\/span> 0.997151747<\/span> 0.998436354<\/span> 0.9990891437<\/span> 0.9995567876<\/span>\nComp.11      Comp.12\nStandard deviation     0.0570804224<\/span> 0.0453913429<\/span>\nProportion of Variance 0.0002715146<\/span> 0.0001716978<\/span>\nCumulative Proportion  0.9998283022<\/span> 1.0000000000<\/span>\n<\/code><\/pre>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206\u306fCONT\u4ee5\u5916\u306f\u3059\u3079\u3066\u8ca0\u3067\u7d76\u5bfe\u5024\u304c0.3\u304f\u3089\u3044\u3067\u305d\u308d\u3063\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
\u7b2c\u4e8c\u4e3b\u6210\u5206\u306fCONT\u3060\u3051\u304c\u7a81\u51fa\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
CONT\u306f\u3001\u5f01\u8b77\u58eb\u304c\u5224\u4e8b\u3068\u3069\u306e\u304f\u3089\u3044\u30b3\u30f3\u30bf\u30af\u30c8\u3057\u3066\u3044\u308b\u304b\u3002<\/p>\n\n\n\n
\u307b\u304b\u306e\u5909\u6570\u306f\u5224\u4e8b\u3068\u3057\u3066\u306e\u80fd\u529b\u3084\u7d20\u8cea\u306e\u8a55\u4fa1\u3060\u3002<\/p>\n\n\n\n
\u30b3\u30f3\u30bf\u30af\u30c8\u304c\u591a\u3044\u5c11\u306a\u3044\u306f\u307b\u304b\u306e\u5909\u6570\u3068\u306f\u6027\u8cea\u304c\u7570\u306a\u308b\u306e\u3067\u3001\u7b2c\u4e00\u4e3b\u6210\u5206\u306e\u5408\u6210\u5909\u6570\u306e\u4e00\u54e1\u3068\u3057\u3066\u5165\u308a\u306b\u304f\u304b\u3063\u305f\u3068\u60f3\u50cf\u3067\u304d\u308b\u3002<\/p>\n\n\n\n
><\/span> loadings<\/span>(<\/span>princomp<\/span>(<\/span>USJudgeRatings,<\/span> cor=<\/span>T<\/span>))<\/span>\nLoadings:<\/span>\nComp.1 Comp.2 Comp.3 Comp.4 Comp.5 Comp.6 Comp.7 Comp.8 Comp.9 Comp.10 Comp.11 Comp.12\nCONT         0.933<\/span>  0.335<\/span>\nINTG -<\/span>0.289<\/span> -<\/span>0.182<\/span>  0.549<\/span>  0.174<\/span>        -<\/span>0.370<\/span> -<\/span>0.450<\/span> -<\/span>0.334<\/span>  0.275<\/span> -<\/span>0.109<\/span>  -<\/span>0.113<\/span>\nDMNR -<\/span>0.287<\/span> -<\/span>0.198<\/span>  0.556<\/span> -<\/span>0.124<\/span> -<\/span>0.229<\/span>  0.395<\/span>  0.467<\/span>  0.247<\/span>  0.199<\/span>          0.134<\/span>\nDILG -<\/span>0.304<\/span>        -<\/span>0.164<\/span>  0.321<\/span> -<\/span>0.302<\/span> -<\/span>0.599<\/span>  0.210<\/span>  0.355<\/span>         0.383<\/span>\nCFMG -<\/span>0.303<\/span>  0.168<\/span> -<\/span>0.207<\/span>        -<\/span>0.448<\/span>         0.247<\/span> -<\/span>0.714<\/span> -<\/span>0.143<\/span>          0.166<\/span>\nDECI -<\/span>0.302<\/span>  0.128<\/span> -<\/span>0.298<\/span>        -<\/span>0.424<\/span>  0.393<\/span> -<\/span>0.536<\/span>  0.302<\/span>  0.258<\/span>         -<\/span>0.128<\/span>\nPREP -<\/span>0.309<\/span>        -<\/span>0.152<\/span>  0.214<\/span>  0.203<\/span>         0.335<\/span>  0.154<\/span>  0.109<\/span> -<\/span>0.680<\/span>  -<\/span>0.319<\/span>   0.273<\/span>\nFAMI -<\/span>0.307<\/span>        -<\/span>0.195<\/span>  0.201<\/span>  0.507<\/span>  0.102<\/span>                0.223<\/span>          0.573<\/span>  -<\/span>0.422<\/span>\nORAL -<\/span>0.313<\/span>                       0.246<\/span>  0.150<\/span>               -<\/span>0.300<\/span>  0.256<\/span>  -<\/span>0.639<\/span>  -<\/span>0.494<\/span>\nWRIT -<\/span>0.311<\/span>                0.137<\/span>  0.306<\/span>  0.238<\/span>        -<\/span>0.126<\/span>         0.475<\/span>           0.696<\/span>\nPHYS -<\/span>0.281<\/span>        -<\/span>0.154<\/span> -<\/span>0.841<\/span>  0.118<\/span> -<\/span>0.299<\/span>                0.266<\/span>\nRTEN -<\/span>0.310<\/span>         0.173<\/span> -<\/span>0.184<\/span>               -<\/span>0.256<\/span>  0.221<\/span> -<\/span>0.756<\/span> -<\/span>0.250<\/span>   0.286<\/span>\nComp.1 Comp.2 Comp.3 Comp.4 Comp.5 Comp.6 Comp.7 Comp.8 Comp.9 Comp.10 Comp.11\nSS loadings     1.000<\/span>  1.000<\/span>  1.000<\/span>  1.000<\/span>  1.000<\/span>  1.000<\/span>  1.000<\/span>  1.000<\/span>  1.000<\/span>   1.000<\/span>   1.000<\/span>\nProportion Var  0.083<\/span>  0.083<\/span>  0.083<\/span>  0.083<\/span>  0.083<\/span>  0.083<\/span>  0.083<\/span>  0.083<\/span>  0.083<\/span>   0.083<\/span>   0.083<\/span>\nCumulative Var  0.083<\/span>  0.167<\/span>  0.250<\/span>  0.333<\/span>  0.417<\/span>  0.500<\/span>  0.583<\/span>  0.667<\/span>  0.750<\/span>   0.833<\/span>   0.917<\/span>\nComp.12\nSS loadings      1.000<\/span>\nProportion Var   0.083<\/span>\nCumulative Var   1.000<\/span>\n<\/code><\/pre>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u306e\u30d7\u30ed\u30c3\u30c8\u306f\u30b3\u30f3\u30bf\u30af\u30c8\u304c\u591a\u3044\u304b\u5c11\u306a\u3044\u304b\u3068\u7d20\u8cea\u30fb\u80fd\u529b\u304c\u8a55\u4fa1\u3067\u304d\u308b\u304b\u3069\u3046\u304b\u306e\u4e8c\u8ef8\u3002<\/p>\n\n\n\n
\u3069\u3093\u306a\u5224\u4e8b\u304b\u60f3\u50cf\u304c\u3064\u3051\u3070\u3001\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u3068\u3057\u3066\u9762\u767d\u3044\u306f\u305a\u3002<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/span><\/p>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u4e3b\u6210\u5206\u5206\u6790\u306f\u3001\u305f\u304f\u3055\u3093\u306e\u5909\u6570\u3092\u3001\u96c6\u7d04\u3057\u3066\u3001\u3044\u304f\u3064\u304b\u306e\u5408\u6210\u5909\u6570\u3067\u8868\u73fe\u3057\u306a\u304a\u3059\u3001\u60c5\u5831\u96c6\u7d04\u306e\u305f\u3081\u306e\u5206\u6790\u65b9\u6cd5\u3002<\/p>\n\n\n\n
\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u306b\u307e\u3068\u307e\u308b\u3068\u3001\u5e73\u9762\u3067\u56f3\u793a\u3067\u304d\u308b\u305f\u3081\u7406\u89e3\u3057\u3084\u3059\u3044\u3002<\/p>\n\n\n\n
R\u3067\u306f\u3001princomp()\u95a2\u6570\u3092\u3001cor=T\u3068\u6307\u5b9a\u3057\u3066\u5206\u6790\u3059\u308b\u3002<\/p>\n\n\n\n
biplot()\u3067\u7b2c\u4e00\u4e3b\u6210\u5206\u3068\u7b2c\u4e8c\u4e3b\u6210\u5206\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u884c\u3046\u3068\u3001\u60f3\u50cf\u304c\u81a8\u3089\u307f\u3001\u4e3b\u6210\u5206\u3068\u30c7\u30fc\u30bf\u306e\u89e3\u91c8\u304c\u3057\u3084\u3059\u304f\u306a\u308b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u4e3b\u6210\u5206\u5206\u6790\u306f\u3001\u305f\u304f\u3055\u3093\u306e\u5909\u6570\u3092\u3001\u5408\u6210\u5909\u6570\u306b\u96c6\u7d04\u3059\u308b\u5206\u6790\u3002 \u4e3b\u5f79\u7d1a\u306e\u4e3b\u6210\u5206\u304b\u3089\u7b2c\u4e00\u4e3b\u6210\u5206\u3001\u7b2c\u4e8c\u4e3b\u6210\u5206\u3001\u30fb\u30fb\u30fb\u3068\u547c\u3070\u308c\u308b\u3002 \u305f\u304f\u3055\u3093\u306e\u5909\u6570\u3092\u3001\u3044\u304f\u3064\u304b\u306e\u4e3b\u6210\u5206\u3067\u307e\u3068\u3081\u308b\u3068\u3001\u60c5\u5831\u304c\u307e\u3068\u307e\u3063\u3066\u8003\u3048\u3084\u3059\u304f\u306a\u308b\u3002<\/p>\n","protected":false},"author":2,"featured_media":2726,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[5,40],"tags":[],"class_list":["post-462","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-r","category-40"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/best-biostatistics.com\/toukei-er\/wp-content\/uploads\/2018\/09\/20180924125024.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/462","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/comments?post=462"}],"version-history":[{"count":2,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/462\/revisions"}],"predecessor-version":[{"id":2728,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/462\/revisions\/2728"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media\/2726"}],"wp:attachment":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media?parent=462"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/categories?post=462"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/tags?post=462"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}