{"id":4170,"date":"2023-07-13T02:55:29","date_gmt":"2023-07-13T02:55:29","guid":{"rendered":"https:\/\/statorials.org\/ko\/r-lm%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-p-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8e%e1%85%ae%e1%84%8e%e1%85%ae%e1%86%af%e1%84%92%e1%85%a1%e1%86%b8%e1%84%82%e1%85%b5%e1%84%83\/"},"modified":"2023-07-13T02:55:29","modified_gmt":"2023-07-13T02:55:29","slug":"r-lm%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-p-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8e%e1%85%ae%e1%84%8e%e1%85%ae%e1%86%af%e1%84%92%e1%85%a1%e1%86%b8%e1%84%82%e1%85%b5%e1%84%83","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r-lm%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-p-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8e%e1%85%ae%e1%84%8e%e1%85%ae%e1%86%af%e1%84%92%e1%85%a1%e1%86%b8%e1%84%82%e1%85%b5%e1%84%83\/","title":{"rendered":"R\uc758 lm() \ud568\uc218\uc5d0\uc11c p \uac12\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R\uc758 <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-lm-\u1112\u1161\u11b7\u1109\u116e\/\" target=\"_blank\" rel=\"noopener\">lm() \ud568\uc218<\/a> \uc5d0\uc11c p-\uac12\uc744 \ucd94\ucd9c\ud558\ub824\uba74 \ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \uc804\uccb4 P \uac12 \ucd94\ucd9c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define function to extract overall p-value of model<\/span>\noverall_p &lt;- <span style=\"color: #008000;\">function<\/span> (my_model) {\n    f &lt;- summary(my_model)$fstatistic\n    p &lt;- pf(f[1],f[2],f[3],lower. <span style=\"color: #3366ff;\">tail<\/span> =F)\n    attributes(p) &lt;- NULL\n    <span style=\"color: #008000;\">return<\/span> (p)\n}\n\n<span style=\"color: #008080;\">#extract overall p-value of model<\/span>\noverall_p(model)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \ud68c\uadc0\uacc4\uc218\uc5d0 \ub300\ud55c \uac1c\ubcc4 P\uac12 \ucd94\ucd9c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>summary(model)$coefficients[,4]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \ubc29\ubc95\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: R\uc758 lm()\uc5d0\uc11c P \uac12 \ucd94\ucd9c<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">R\uc5d0 \ub2e4\uc74c\uacfc \uac19\uc740 <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">\ub2e4\uc911 \uc120\ud615 \ud68c\uadc0<\/a> \ubaa8\ub378\uc744 \uc801\ud569\ud558\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (rating=c(67, 75, 79, 85, 90, 96, 97),\n                 points=c(8, 12, 16, 15, 22, 28, 24),\n                 assists=c(4, 6, 6, 5, 3, 8, 7),\n                 rebounds=c(1, 4, 3, 3, 2, 6, 7))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(rating ~ points + assists + rebounds, data=df)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>summary()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378\uc758 \uc804\uccb4 \uc694\uc57d\uc744 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nlm(formula = rating ~ points + assists + rebounds, data = df)\n\nResiduals:\n      1 2 3 4 5 6 7 \n-1.5902 -1.7181 0.2413 4.8597 -1.0201 -0.6082 -0.1644 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)   \n(Intercept) 66.4355 6.6932 9.926 0.00218 **\npoints 1.2152 0.2788 4.359 0.02232 * \nassists -2.5968 1.6263 -1.597 0.20860   \nrebounds 2.8202 1.6118 1.750 0.17847   \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 3.193 on 3 degrees of freedom\nMultiple R-squared: 0.9589, Adjusted R-squared: 0.9179 \nF-statistic: 23.35 on 3 and 3 DF, p-value: 0.01396\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc \ub9e8 \uc544\ub798\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc758 \uc804\uccb4 p-\uac12\uc774 <strong>0.01396<\/strong> \uc784\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378\uc5d0\uc11c \uc774 p-\uac12\ub9cc \ucd94\ucd9c\ud558\ub824\uba74 \uc0ac\uc6a9\uc790 \uc815\uc758 \ud568\uc218\ub97c \uc815\uc758\ud558\uba74 \ub429\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define function to extract overall p-value of model<\/span>\noverall_p &lt;- <span style=\"color: #008000;\">function<\/span> (my_model) {\n    f &lt;- summary(my_model)$fstatistic\n    p &lt;- pf(f[1],f[2],f[3],lower. <span style=\"color: #3366ff;\">tail<\/span> =F)\n    attributes(p) &lt;- NULL\n    <span style=\"color: #008000;\">return<\/span> (p)\n}\n\n<span style=\"color: #008080;\">#extract overall p-value of model<\/span>\noverall_p(model)\n\n[1] 0.01395572\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \ud568\uc218\ub294 \uc704\uc758 \ubaa8\ub378 \ucd9c\ub825\uacfc \ub3d9\uc77c\ud55c p-\uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\ubaa8\ub378\uc5d0\uc11c \uac1c\ubcc4 \ud68c\uadc0 \uacc4\uc218\uc5d0 \ub300\ud55c p-\uac12\uc744 \ucd94\ucd9c\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#extract p-values for individual regression coefficients in model\n<span style=\"color: #000000;\">summary(model)$coefficients[,4] \n\n(Intercept) points assists rebounds \n0.002175313 0.022315418 0.208600183 0.178471275<\/span><\/span>\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc5ec\uae30\uc5d0 \ud45c\uc2dc\ub41c p-\uac12\uc740 \uc704 \ud68c\uadc0 \ucd9c\ub825\uc758 <strong>Pr(&gt; |t|)<\/strong> \uc5f4\uc5d0 \uc788\ub294 \uac12\uacfc \uc77c\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong> <a href=\"https:\/\/statorials.org\/ko\/lm\u110b\u1166\u1109\u1165-r-\u110c\u1166\u1100\u1169\u11b8\u110b\u1173\u11af-r\u1105\u1169-\u110e\u116e\u110e\u116e\u11af\/\" target=\"_blank\" rel=\"noopener\">R\uc758 lm() \ud568\uc218\uc5d0\uc11c R-\uc81c\uacf1\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95<\/a><\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1103\u1161\u11ab\u1109\u116e\u11ab-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1161\u11ab\u110b\u1167-\u110e\u116e\u110c\u1165\u11a8-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R\uc758 lm() \ud568\uc218 \uc5d0\uc11c p-\uac12\uc744 \ucd94\ucd9c\ud558\ub824\uba74 \ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \ud68c\uadc0 \ubaa8\ub378\uc5d0\uc11c \uc804\uccb4 P \uac12 \ucd94\ucd9c #define function to extract overall p-value of model overall_p &lt;- function (my_model) { f &lt;- summary(my_model)$fstatistic p &lt;- pf(f[1],f[2],f[3],lower. tail =F) attributes(p) &lt;- NULL return (p) } #extract overall p-value of model overall_p(model) \ubc29\ubc95 2: \ud68c\uadc0\uacc4\uc218\uc5d0 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-4170","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R\uc758 lm() \ud568\uc218\uc5d0\uc11c P \uac12\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc758 lm() \ud568\uc218 \ucd9c\ub825\uc5d0\uc11c p-\uac12\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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\ud1b5\uacc4\ud559\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ko\/#website\"},\"datePublished\":\"2023-07-13T02:55:29+00:00\",\"dateModified\":\"2023-07-13T02:55:29+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ko\/#\/schema\/person\/600556789b7d79cbaa9d9f0c721b74f4\"},\"description\":\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc758 lm() \ud568\uc218 \ucd9c\ub825\uc5d0\uc11c p-\uac12\uc744 \ucd94\ucd9c\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 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