{"id":17316,"date":"2023-06-08T06:00:00","date_gmt":"2023-06-07T21:00:00","guid":{"rendered":"https:\/\/www.muscle-hypertrophy.com\/?p=17316"},"modified":"2023-02-10T13:17:43","modified_gmt":"2023-02-10T04:17:43","slug":"%e4%b8%80%e8%88%ac%e5%8c%96%e7%b7%9a%e5%bd%a2%e6%b7%b7%e5%90%88%e3%83%a2%e3%83%87%e3%83%ab%e3%82%92%e7%94%a8%e3%81%84%e3%81%a6%e7%86%b1%e4%b8%ad%e7%97%87%e6%90%ac%e9%80%81%e4%ba%ba%e5%93%a1%e6%95%b0","status":"publish","type":"post","link":"https:\/\/www.muscle-hypertrophy.com\/?p=17316","title":{"rendered":"\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306b\u5bfe\u3059\u308b\u65e5\u6700\u9ad8\u6c17\u6e29\u3068\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u306e\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3059\u308b"},"content":{"rendered":"\n

\u3000\u7dcf\u52d9\u7701\u6d88\u9632\u5e81\u306e\u516c\u958b\u3057\u3066\u3044\u308b\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306f\u90fd\u9053\u5e9c\u770c\u3054\u3068\u306b\u6bce\u65e5\u30c7\u30fc\u30bf\u3092\u53cd\u5fa9\u62bd\u51fa\u3057\u3066\u3044\u308b\u3068\u3082\u8a00\u3048\u308b\uff0e\u8907\u6570\u306e\u90fd\u9053\u5e9c\u770c\u304b\u3089\u7e70\u308a\u8fd4\u3057\u30c7\u30fc\u30bf\u3092\u53d6\u308b\u306e\u306f\u72ec\u7acb\u3057\u305f\u53cd\u5fa9\u3067\u306f\u306a\u304f\uff0c\u7591\u4f3c\u53cd\u5fa9\u3068\u8003\u3048\u3089\u308c\u308b\uff0e\u3053\u306e\u3088\u3046\u306a\u5834\u5408\uff0c\u90fd\u9053\u5e9c\u770c\u5358\u4f4d\u3067\u5dee\u304c\u751f\u3058\u308b\u3068\u8003\u3048\u3089\u308c\uff0c\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\uff0e<\/p>\n

\u3000\u4eca\u56de\u306fR\u306eglmmML()\u95a2\u6570\u3092\u7528\u3044\u3066\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u56de\u5e30\u4fc2\u6570\u306e\u63a8\u5b9a\u3092\u884c\u3063\u305f\uff0e<\/p>\n

<\/p>\n

\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f<\/h2>\n

\u3000\u30e6\u30fc\u30b6\u30fc\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\u3067HeatStrokeDB.xlsx\u3092\u8aad\u307f\u8fbc\u3080\uff0e<\/p>\n

> library(readxl)\n> HeatStrokeDB <- read_excel(\"C:\/Users\/***\/HeatStrokeDB.xlsx\", \n+     col_types = c(\"numeric\", \"text\", \"numeric\", \n+         \"date\", \"numeric\", \"numeric\", \"numeric\", \n+         \"numeric\"))<\/pre>\n
glm()\u95a2\u6570\u3067\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3059\u308b<\/h2>\n
\u3000\u4e0b\u8a18\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u4e00\u822c\u5316\u7dda\u5f62\u30e2\u30c7\u30eb\u3067\u56de\u5e30\u4fc2\u6570\u306e\u63a8\u5b9a\u3092\u884c\u3046\uff0eAIC\u306f750211\u3067\u3042\u308b\uff0e<\/p>\n
> y = HeatStrokeDB$Num\n> x1 = HeatStrokeDB$Temp\n> x2 = HeatStrokeDB$Vapor\n> p = HeatStrokeDB$Pop\n> r = HeatStrokeDB$PrefCode\n> Z = glm(y ~ x1 + x2, family = poisson(link = \"log\"))<\/pre>\n
> summary(Z)\nCall:\nglm(formula = y ~ x1 + x2, family = poisson(link = \"log\"))\nDeviance Residuals: \n    Min       1Q   Median       3Q      Max  \n-10.804   -1.965   -0.891    0.596   33.428  \nCoefficients:\n              Estimate Std. Error z value Pr(>|z|)    \n(Intercept) -8.1341526  0.0158004  -514.8   <2e-16 ***\nx1           0.2707915  0.0004953   546.8   <2e-16 ***\nx2           0.0685135  0.0003906   175.4   <2e-16 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n(Dispersion parameter for poisson family taken to be 1)\n    Null deviance: 1243632  on 70107  degrees of freedom\nResidual deviance:  567265  on 70105  degrees of freedom\nAIC: 750211\nNumber of Fisher Scoring iterations: 5<\/pre>\n
glmmML()\u95a2\u6570\u3067\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3059\u308b<\/h2>\n
\u3000\u4e0b\u8a18\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3066\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u56de\u5e30\u4fc2\u6570\u306e\u63a8\u5b9a\u3092\u884c\u3046\uff0e<\/p>\n
> library(glmmML)\n> W = glmmML(y ~ x1 + x2, family = poisson(link = \"log\"), cluster = r)<\/pre>\n
\u3000AIC\u306f251100\u3068\u5927\u5e45\u306b\u6539\u5584\u3057\u3066\u304a\u308a\uff0c\u4eba\u53e3\u3092\u30aa\u30d5\u30bb\u30c3\u30c8\u9805\u3068\u3057\u3066\u5c0e\u5165\u3057\u305f\u5834\u5408<\/a>\u3084\uff0c\u8ca0\u306e\u4e8c\u9805\u5206\u5e03\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3057\u305f\u5834\u5408<\/a>\u3088\u308a\u3082\u4e88\u6e2c\u6027\u80fd\u304c\u6539\u5584\u3057\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e<\/p>\n
> summary(W)\n\nCall:  glmmML(formula = y ~ x1 + x2, family = poisson(link = \"log\"),      cluster = r) \n\n\n                coef  se(coef)      z Pr(>|z|)\n(Intercept) -9.02057 0.1125175 -80.17        0\nx1           0.28578 0.0005597 510.62        0\nx2           0.07604 0.0004627 164.34        0\n\nScale parameter in mixing distribution:  0.7547 gaussian \nStd. Error:                              0.07654 \n\n        LR p-value for H_0: sigma = 0:  0 \n\nResidual deviance: 251100 on 70104 degrees of freedom \tAIC: 251100 <\/pre>\n
\u307e\u3068\u3081<\/h2>\n
\u3000glmmML()\u95a2\u6570\u3092\u7528\u3044\u3066\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u4f7f\u3044\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306b\u5bfe\u3059\u308b\u65e5\u6700\u9ad8\u6c17\u6e29\u3068\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u306e\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3057\u305f\uff0e\u5168\u90fd\u9053\u5e9c\u770c\u3092\u5bfe\u8c61\u306b\u540c\u3058\u4eba\u53e3\u96c6\u56e3\u304b\u3089\u7e70\u308a\u8fd4\u3057\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3092\u884c\u3063\u3066\u304a\u308a\uff0c\u90fd\u9053\u5e9c\u770c\u30b3\u30fc\u30c9\u304b\u3089\u5834\u6240\u5dee\u304c\u8b58\u5225\u3067\u304d\u308b\u3053\u3068\u304b\u3089\uff0c\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u7528\u3044\u308b\u306e\u304c\u59a5\u5f53\u304b\u3082\u3057\u308c\u306a\u3044\uff0e<\/p>\n
\u3000\u4e00\u65b9\uff0c\u71b1\u4e2d\u75c7\u306f\u74b0\u5883\u6e29\u5ea6\u306b\u3088\u308a\u767a\u75c7\u3059\u308b\u3068\u8003\u3048\u3089\u308c\uff0c\u7279\u5b9a\u306e\u500b\u4eba\u304c\u6691\u71b1\u74b0\u5883\u306b\u3066\u52e4\u52d9\u30fb\u5728\u5b85\u3057\u3066\u3044\u308b\u306a\u3069\u306e\u53ef\u80fd\u6027\u3092\u8003\u616e\u3059\u308b\u3068\uff0c\u540c\u3058\u4eba\u7269\u304c\u7e70\u308a\u8fd4\u3057\u642c\u9001\u3055\u308c\u3066\u3044\u308b\u53ef\u80fd\u6027\u3082\u3042\u308a\uff0c\u500b\u4f53\u5dee\u3092\u8003\u616e\u3057\u305f\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u7d44\u307f\u7acb\u3066\u308b\u5fc5\u8981\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u306a\u3044\uff0e\u305d\u306e\u5834\u5408\uff0c\u5834\u6240\u5dee\u3068\u500b\u4f53\u5dee\u3092\u540c\u6642\u306b\u8003\u616e\u3057\u305f\u7d71\u8a08\u30e2\u30c7\u30eb\u304c\u5fc5\u8981\u3068\u306a\u308b\uff0e\u3064\u307e\u308a\u30d9\u30a4\u30ba\u7d71\u8a08\u30e2\u30c7\u30eb\u304a\u3088\u3073\u30de\u30eb\u30b3\u30d5\u9023\u9396\u30e2\u30f3\u30c6\u30ab\u30eb\u30ed\u6cd5\u304c\u5fc5\u8981\u3068\u306a\u3063\u3066\u304f\u308b\u304c\uff0c\u3053\u306e\u8a18\u4e8b\u306e\u7bc4\u56f2\u3092\u8d85\u3048\u308b\u305f\u3081\u5272\u611b\u3059\u308b\uff0e<\/p>\n
\u3000AIC\u304b\u3089\u306f\uff0c\u8ca0\u306e\u4e8c\u9805\u5206\u5e03\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u5834\u5408\u3084\u4eba\u53e3\u3092\u30aa\u30d5\u30bb\u30c3\u30c8\u9805\u3068\u3057\u3066\u5c0e\u5165\u3057\u305f\u5834\u5408\u3088\u308a\u3082\u4e88\u6e2c\u6027\u80fd\u304c\u6539\u5584\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e<\/p>\n","protected":false},"excerpt":{"rendered":"
\u3000\u7dcf\u52d9\u7701\u6d88\u9632\u5e81\u306e\u516c\u958b\u3057\u3066\u3044\u308b\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306f\u90fd\u9053\u5e9c\u770c\u3054\u3068\u306b\u6bce\u65e5\u30c7\u30fc\u30bf\u3092\u53cd\u5fa9\u62bd\u51fa\u3057\u3066\u3044\u308b\u3068\u3082\u8a00\u3048\u308b\uff0e\u8907\u6570\u306e\u90fd\u9053\u5e9c\u770c\u304b\u3089\u7e70\u308a\u8fd4\u3057\u30c7\u30fc\u30bf\u3092\u53d6\u308b\u306e\u306f\u72ec\u7acb\u3057\u305f\u53cd\u5fa9\u3067\u306f\u306a\u304f\uff0c\u7591\u4f3c\u53cd\u5fa9\u3068\u8003\u3048\u3089\u308c\u308b\uff0e\u3053\u306e\u3088\u3046\u306a\u5834\u5408\uff0c\u90fd\u9053\u5e9c\u770c\u5358\u4f4d\u3067\u5dee\u304c … <\/p>\n
“\u4e00\u822c\u5316\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u71b1\u4e2d\u75c7\u642c\u9001\u4eba\u54e1\u6570\u306b\u5bfe\u3059\u308b\u65e5\u6700\u9ad8\u6c17\u6e29\u3068\u5e73\u5747\u6c34\u84b8\u6c17\u5727\u306e\u56de\u5e30\u4fc2\u6570\u3092\u63a8\u5b9a\u3059\u308b” \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[13317,13311,13318,13313,11356,13333,13308,13369,13367,13312,13327,13310,3962,13309,13368,13328,13316,13314,13322,13315,13359,13376,13377,4845,13370,13364,13363,4313,13375,13373,13365,13268,13374,13371,11240,5852,13372,2893,13325,13366,11195,13320,4439],"class_list":{"0":"post-17316","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-technology","7":"tag-aic","8":"tag-coefficients","9":"tag-degrees-of-freedom","10":"tag-estimate","11":"tag-family","12":"tag-formula","13":"tag-glm","15":"tag-glmmml","16":"tag-intercept","17":"tag-library","18":"tag-link","19":"tag-log","20":"tag-poisson","21":"tag-readxl","22":"tag-read_excel","23":"tag-residual-deviance","24":"tag-std-error","25":"tag-summary","26":"tag-z-value","27":"tag-13359","28":"tag-13376","29":"tag-13377","30":"tag-4845","31":"tag-13370","32":"tag-13364","33":"tag-13363","34":"tag-4313","35":"tag-13375","36":"tag-13373","37":"tag-13365","38":"tag-13268","39":"tag-13374","40":"tag-13371","41":"tag-11240","42":"tag-5852","43":"tag-13372","44":"tag-2893","45":"tag-13325","46":"tag-13366","47":"tag-11195","48":"tag-13320","49":"tag-4439"},"_links":{"self":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17316"}],"version-history":[{"count":8,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17316\/revisions"}],"predecessor-version":[{"id":17566,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=\/wp\/v2\/posts\/17316\/revisions\/17566"}],"wp:attachment":[{"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.muscle-hypertrophy.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}