{"id":3449,"date":"2023-07-17T10:17:33","date_gmt":"2023-07-17T10:17:33","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-aov-%e1%84%83%e1%85%a2-anova\/"},"modified":"2023-07-17T10:17:33","modified_gmt":"2023-07-17T10:17:33","slug":"r%e1%84%8b%e1%85%b4-aov-%e1%84%83%e1%85%a2-anova","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-aov-%e1%84%83%e1%85%a2-anova\/","title":{"rendered":"R\uc5d0\uc11c aov()\uc640 anova()\ub97c \uc0ac\uc6a9\ud574\uc57c \ud558\ub294 \uacbd\uc6b0"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R\uc758 <strong>aov()<\/strong> \ubc0f <strong>anova()<\/strong> \ud568\uc218\ub294 \ube44\uc2b7\ud574 \ubcf4\uc774\uc9c0\ub9cc \uc2e4\uc81c\ub85c\ub294 \ub450 \uac00\uc9c0 \ub2e4\ub978 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">ANOVA \ubaa8\ub378\uc744 \uc801\ud569\uc2dc\ud0a4\uace0 \uacb0\uacfc\ub97c ANOVA \uc694\uc57d \ud14c\uc774\ube14\uc5d0 \ud45c\uc2dc\ud558\ub824\ub294 \uacbd\uc6b0 <strong>aov()\ub97c<\/strong> \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud2b9\uc815 \uacc4\uc218 \uc138\ud2b8\uac00 \uc788\ub294 \ud68c\uadc0 \ubaa8\ub378\uc774 \uacc4\uc218 \ud558\uc704 \uc138\ud2b8\ub9cc \uc788\ub294 \ubaa8\ub378\ubcf4\ub2e4 \ud6e8\uc52c \ub354 \ub098\uc740 \uc801\ud569\uc131\uc744 \uc81c\uacf5\ud558\ub294\uc9c0 \uc5ec\ubd80\ub97c \uacb0\uc815\ud558\uae30 \uc704\ud574 \uc911\ucca9 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc801\ud569\uc131\uc744 \ube44\uad50\ud558\ub824\ub294 \uacbd\uc6b0 <strong>anova()\ub97c<\/strong> \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uac01 \uae30\ub2a5\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\uc81c 1: R\uc5d0\uc11c aov()\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\uc138 \uac00\uc9c0 \ub2e4\ub978 \uc6b4\ub3d9 \ud504\ub85c\uadf8\ub7a8\uc774 \uccb4\uc911 \uac10\ub7c9\uc5d0 \uc11c\ub85c \ub2e4\ub978 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\uae30 \uc704\ud574 <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u11ab\u1107\u1161\u11bc\u1112\u1163\u11bc-\u110b\u1161\u1102\u1169\u1107\u1161\/\" target=\"_blank\" rel=\"noopener\">\uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744<\/a> \uc218\ud589\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc6b0\ub9ac\ub294 \ud55c \ub2ec \ub3d9\uc548 \ud504\ub85c\uadf8\ub7a8 A, \ud504\ub85c\uadf8\ub7a8 B \ub610\ub294 \ud504\ub85c\uadf8\ub7a8 C\ub97c \ub530\ub974\ub3c4\ub85d \ubb34\uc791\uc704\ub85c 30\uba85\uc744 \ud560\ub2f9\ud558\ub294 \uc2e4\ud5d8\uc5d0 \ucc38\uc5ec\ud560 90\uba85\uc744 \ubaa8\uc9d1\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 R\uc5d0\uc11c <strong>aov()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (program = rep(c(\"A\", \"B\", \"C\"), each= <span style=\"color: #008000;\">30<\/span> ),\n                 weight_loss = c(runif(30, 0, 3),\n                                 runif(30, 0, 5),\n                                 runif(30, 1, 7)))\n\n<span style=\"color: #008080;\">#fit one-way anova using aov()\n<\/span>fit &lt;- aov(weight_loss ~ program, data=df)\n\n<span style=\"color: #008080;\">#view results\n<\/span>summary(fit)\n\n            Df Sum Sq Mean Sq F value Pr(&gt;F)    \nprogram 2 98.93 49.46 30.83 7.55e-11 ***\nResiduals 87 139.57 1.60                     \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ubaa8\ub378 \uacb0\uacfc\ub97c \ubcf4\uba74 \ud504\ub85c\uadf8\ub7a8\uc758 p\uac12(0.0000000000755)\uc774 0.05\ubcf4\ub2e4 \uc791\uc740 \uac83\uc744 \uc54c \uc218 \uc788\ub294\ub370, \uc774\ub294 \uc138 \ud504\ub85c\uadf8\ub7a8 \uac04 \ud3c9\uade0 \uccb4\uc911 \uac10\ub7c9\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\uc74c\uc744 \uc758\ubbf8\ud55c\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc81c 2: R\uc5d0\uc11c anova()\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ud2b9\uc815 \ub300\ud559\uc758 \ud559\uc0dd\ub4e4\uc758 <strong>\uc2dc\ud5d8 \uc810\uc218\ub97c<\/strong> \uc608\uce21\ud558\uae30 \uc704\ud574 <strong>\uacf5\ubd80\ud55c \uc2dc\uac04\uc744<\/strong> \uc0ac\uc6a9\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ub450 \uac00\uc9c0 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\uc6a9\ud558\uae30\ub85c \uacb0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uc804\uccb4 \ubaa8\ub378:<\/strong> \uc810\uc218 = \u03b2 <sub>0<\/sub> + B <sub>1<\/sub> (\uc2dc\uac04) + B <sub>2<\/sub> (\uc2dc\uac04) <sup>2<\/sup><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucd95\uc18c \ubaa8\ub378:<\/strong> \uc810\uc218 = \u03b2 <sub>0<\/sub> + B <sub>1<\/sub> (\uc2dc\uac04)<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 R\uc758 <strong>anova()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc804\uccb4 \ubaa8\ub378\uc774 \ucd95\uc18c \ubaa8\ub378\ubcf4\ub2e4 \ud6e8\uc52c \ub354 \ub098\uc740 \uc801\ud569\uc131\uc744 \uc81c\uacf5\ud558\ub294\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 \uc801\ud569\uc131 \ubd80\uc871 \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<span style=\"color: #000000;\">set. <span style=\"color: #3366ff;\">seeds<\/span> (1)\n\n<span style=\"color: #008080;\">#create dataset\n<\/span>df &lt;- data.frame(hours = runif(50, 5, 15), score=50)\ndf$score = df$score + df$hours^3\/150 + df$hours*runif(50, 1, 2)\n\n<span style=\"color: #008080;\">#view head of data\n<\/span>head(df)\n\n      hours score\n1 7.655087 64.30191\n2 8.721239 70.65430\n3 10.728534 73.66114\n4 14.082078 86.14630\n5 7.016819 59.81595\n6 13.983897 83.60510\n\n<span style=\"color: #008080;\">#fit full model\n<\/span>full &lt;- lm(score ~ poly(hours,2), data=df)\n\n<span style=\"color: #008080;\">#fit reduced model\n<\/span>reduced &lt;- lm(score ~ hours, data=df)\n\n<span style=\"color: #008080;\">#perform lack of fit test using anova()\n<\/span>anova(full, reduced)\n\nAnalysis of Variance Table\n\nModel 1: score ~ poly(hours, 2)\nModel 2: score ~ hours\n  Res.Df RSS Df Sum of Sq F Pr(&gt;F)   \n1 47 368.48                                \n2 48 451.22 -1 -82.744 10.554 0.002144 **\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ucd9c\ub825 \ud14c\uc774\ube14(0.002144)\uc758 p-\uac12\uc774 0.05\ubcf4\ub2e4 \uc791\uc73c\ubbc0\ub85c \uac80\uc815\uc758 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \uc804\uccb4 \ubaa8\ub378\uc774 \ucd95\uc18c \ubaa8\ub378\ubcf4\ub2e4 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud558\uac8c \ub354 \ub098\uc740 \uc801\ud569\uc131\uc744 \uc81c\uacf5\ud55c\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/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\/\u1103\u1161\u11ab\u1107\u1161\u11bc\u1112\u1163\u11bc-anova-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1161\u1102\u1169\u1107\u1161-\u1105\u1161-\u110b\u1163\u11bc\u1107\u1161\u11bc\u1112\u1163\u11bc\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc591\ubc29\ud5a5 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1107\u1161\u11ab\u1107\u1169\u11a8-\u110e\u1173\u11a8\u110c\u1165\u11bc-anova\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R\uc758 aov() \ubc0f anova() \ud568\uc218\ub294 \ube44\uc2b7\ud574 \ubcf4\uc774\uc9c0\ub9cc \uc2e4\uc81c\ub85c\ub294 \ub450 \uac00\uc9c0 \ub2e4\ub978 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. ANOVA \ubaa8\ub378\uc744 \uc801\ud569\uc2dc\ud0a4\uace0 \uacb0\uacfc\ub97c ANOVA \uc694\uc57d \ud14c\uc774\ube14\uc5d0 \ud45c\uc2dc\ud558\ub824\ub294 \uacbd\uc6b0 aov()\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \ud2b9\uc815 \uacc4\uc218 \uc138\ud2b8\uac00 \uc788\ub294 \ud68c\uadc0 \ubaa8\ub378\uc774 \uacc4\uc218 \ud558\uc704 \uc138\ud2b8\ub9cc \uc788\ub294 \ubaa8\ub378\ubcf4\ub2e4 \ud6e8\uc52c \ub354 \ub098\uc740 \uc801\ud569\uc131\uc744 \uc81c\uacf5\ud558\ub294\uc9c0 \uc5ec\ubd80\ub97c \uacb0\uc815\ud558\uae30 \uc704\ud574 \uc911\ucca9 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc801\ud569\uc131\uc744 \ube44\uad50\ud558\ub824\ub294 \uacbd\uc6b0 anova()\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uac01 \uae30\ub2a5\uc744 [&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-3449","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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