{"id":2545,"date":"2023-07-21T19:20:33","date_gmt":"2023-07-21T19:20:33","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-3%e1%84%87%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a3%e1%86%bc-anova\/"},"modified":"2023-07-21T19:20:33","modified_gmt":"2023-07-21T19:20:33","slug":"r%e1%84%8b%e1%85%b4-3%e1%84%87%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a3%e1%86%bc-anova","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-3%e1%84%87%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a3%e1%86%bc-anova\/","title":{"rendered":"R\uc5d0\uc11c 3\uc6d0 \ubd84\uc0b0\ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>3\uc6d0 ANOVA\ub294<\/strong> \uc138 \uac00\uc9c0 \uc694\uc778\uc5d0 \uac78\uccd0 \ubd84\ud3ec\ub41c \uc138 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 R\uc5d0\uc11c 3\uc6d0 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608: R\uc758 \uc0bc\uc6d0 \ubd84\uc0b0\ubd84\uc11d<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\uc5f0\uad6c\uc790\uac00 \ub450 \uac00\uc9c0 \ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8\uc774 \ub300\ud559 \ub18d\uad6c \uc120\uc218\ub4e4 \uc0ac\uc774\uc5d0\uc11c \uc810\ud504 \ub192\uc774\uc758 \ud3c9\uade0 \ud5a5\uc0c1\uc73c\ub85c \uc774\uc5b4\uc9c0\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc5f0\uad6c\uc6d0\uc740 \uc131\ubcc4\uacfc \ubd80\ubb38(\ub514\ube44\uc804 I \ub610\ub294 II)\ub3c4 \uc810\ud504 \ub192\uc774\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce60 \uc218 \uc788\ub2e4\uace0 \uc758\uc2ec\ud558\uba70, \uc774\uac83\uc774 \uadf8\uac00 \uc774\ub7ec\ud55c \uc694\uc778\uc5d0 \ub300\ud55c \ub370\uc774\ud130\ub3c4 \uc218\uc9d1\ud558\ub294 \uc774\uc720\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\uc758 \ubaa9\ud45c\ub294 \ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8, \uc131\ubcc4, \ubd80\ubb38\uc774 \uc810\ud504 \ub192\uc774\uc5d0 \uc5b4\ub5a4 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574 3\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">R\uc5d0\uc11c \uc774 3\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub824\uba74 \ub2e4\uc74c \ub2e8\uacc4\ub97c \ub530\ub974\uc2ed\uc2dc\uc624.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 \ub370\uc774\ud130\ub97c \ubcf4\uad00\ud560 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create dataset\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (program=rep(c(1, 2), each= <span style=\"color: #008000;\">20<\/span> ),\n                 gender=rep(c(' <span style=\"color: #ff0000;\">M<\/span> ', ' <span style=\"color: #ff0000;\">F<\/span> '), each= <span style=\"color: #008000;\">10<\/span> , times= <span style=\"color: #008000;\">2<\/span> ),\n                 division=rep(c(1, 2), each= <span style=\"color: #008000;\">5<\/span> , times= <span style=\"color: #008000;\">4<\/span> ),\n                 height=c(7, 7, 8, 8, 7, 6, 6, 5, 6, 5,\n                          5, 5, 4, 5, 4, 3, 3, 4, 3, 3,\n                          6, 6, 5, 4, 5, 4, 5, 4, 4, 3,\n                          2, 2, 1, 4, 4, 2, 1, 1, 2, 1)) \n\n<span style=\"color: #008080;\">#view first six rows of dataset\n<\/span>head(df)\n\n  program gender division height\n1 1 M 1 7\n2 1 M 1 7\n3 1 M 1 8\n4 1 M 1 8\n5 1 M 1 7\n6 1 M 2 6<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \uae30\uc220 \ud1b5\uacc4 \ubcf4\uae30<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">3\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\uae30 \uc804\uc5d0 <a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">dplyr\uc744<\/a> \uc0ac\uc6a9\ud558\uc5ec \ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8, \uc131\ubcc4 \ubc0f \ubd80\ubb38\ubcc4\ub85c \uadf8\ub8f9\ud654\ub41c \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00\ub97c \ube60\ub974\uac8c \uc694\uc57d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#calculate mean jumping height increase grouped by program, gender, and division\n<\/span>df %&gt;%\n  group_by(program, gender, division) %&gt;%\n  summarize(mean_height = mean(height))\n\n# A tibble: 8 x 4\n# Groups: program, gender [4]\n  program gender division mean_height\n                 \n1 1 F 1 4.6\n2 1 F 2 3.2\n3 1 M 1 7.4\n4 1 M 2 5.6\n5 2 F 1 2.6\n6 2 F 2 1.4\n7 2 M 1 5.2\n8 2 M 2 4  \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8 1\uc744 \uc0ac\uc6a9\ud55c Division I \uc5ec\uc131\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00\ub294 <strong>4.6\uc778\uce58<\/strong> \uc600\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8 1\uc744 \uc0ac\uc6a9\ud55c Division II \uc5ec\uc131\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00\ub294 <strong>3.2\uc778\uce58<\/strong> \uc600\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8 1\uc744 \uc0ac\uc6a9\ud55c Division I \ub0a8\uc131\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00\ub294 <strong>7.4\uc778\uce58<\/strong> \uc600\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub4f1\ub4f1.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: 3\uc6d0 \ubd84\uc0b0\ubd84\uc11d \uc218\ud589<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c <strong>aov()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec 3\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#perform three-way ANOVA<\/span>\nmodel &lt;- aov(height ~ program * gender * division, data=df)\n\n<span style=\"color: #008080;\">#view summary of three-way ANOVA\n<\/span>summary(model)\n\n                        Df Sum Sq Mean Sq F value Pr(&gt;F)    \nprogram 1 36.1 36.10 65.636 2.98e-09 ***\ngender 1 67.6 67.60 122.909 1.71e-12 ***\ndivision 1 19.6 19.60 35.636 1.19e-06 ***\nprogram:gender 1 0.0 0.00 0.000 1.000    \nprogram:division 1 0.4 0.40 0.727 0.400    \ngender:division 1 0.1 0.10 0.182 0.673    \nprogram:gender:division 1 0.1 0.10 0.182 0.673    \nResiduals 32 17.6 0.55                     \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Pr(&gt;F)<\/strong> \uc5f4\uc5d0\ub294 \uac01 \uac1c\ubcc4 \uc694\uc778\uc5d0 \ub300\ud55c p-\uac12\uacfc \uc694\uc778 \uac04\uc758 \uc0c1\ud638 \uc791\uc6a9\uc774 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub97c \ubcf4\uba74, \uc138 \uac00\uc9c0 \uc694\uc778 \uac04\uc758 \uc0c1\ud638\uc791\uc6a9 \uc911 \uc5b4\ub290 \uac83\ub3c4 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud558\uc9c0 \uc54a\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \ud504\ub85c\uadf8\ub7a8, \uc131\ubcc4, \ubd80\ubb38\uc774\ub77c\ub294 \uc138 \uac00\uc9c0 \uc694\uc778\uc774 \uac01\uac01 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud558\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\uc81c dplyr\uc744 \ub2e4\uc2dc \uc0ac\uc6a9\ud558\uc5ec \ud504\ub85c\uadf8\ub7a8, \uc131\ubcc4 \ubc0f \ubd80\ubb38\uc5d0 \ub300\ud55c \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00\ub97c \uac1c\ubcc4\uc801\uc73c\ub85c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)\n<\/span>\n#find mean jumping increase by program<\/span>\ndf %&gt;%\n  group_by(program) %&gt;%\n  summarize(mean_height = mean(height))\n\n# A tibble: 2 x 2\n  program mean_height\n           \n1 1 5.2\n2 2 3.3\n\n<span style=\"color: #008080;\">#find mean jumping increase by gender\n<\/span>df %&gt;%\n  group_by(gender) %&gt;%\n  summarize(mean_height = mean(height))\n\n# A tibble: 2 x 2\n  gender mean_height\n          \n1 F 2.95\n2M 5.55\n\n<span style=\"color: #008080;\">#find mean jumping increase by division\n<\/span>df %&gt;%\ngroup_by(division) %&gt;%\nsummarize(mean_height = mean(height))\n\n# A tibble: 2 x 2\n  division mean_height\n            \n1 1 4.95\n2 2 3.55<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ub2e4\uc74c\uc744 \uad00\ucc30\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8 1\uc744 \uc0ac\uc6a9\ud55c \uac1c\uc778\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00( <strong>5.2\uc778\uce58<\/strong> )\ub294 \ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8 2\ub97c \uc0ac\uc6a9\ud55c \uac1c\uc778\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00 <strong>(3.3\uc778\uce58<\/strong> )\ubcf4\ub2e4 \ucef8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub0a8\uc131\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00( <strong>5.55\uc778\uce58<\/strong> )\ub294 \uc5ec\uc131\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00 <strong>(2.95\uc778\uce58<\/strong> )\ubcf4\ub2e4 \ucef8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">Division 1 \uc120\uc218\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00( <strong>4.95\uc778\uce58<\/strong> )\ub294 Division 2 \uc120\uc218\uc758 \ud3c9\uade0 \uc810\ud504 \ub192\uc774 \uc99d\uac00 <strong>(3.55\uc778\uce58<\/strong> )\ubcf4\ub2e4 \ucef8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uacb0\ub860\uc801\uc73c\ub85c, \ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8, \uc131\ubcc4, \ubd80\ubb38\uc740 \ubaa8\ub450 \uc120\uc218\uc758 \uc810\ud504 \ub192\uc774 \uc99d\uac00\ub97c \ub098\ud0c0\ub0b4\ub294 \uc911\uc694\ud55c \uc9c0\ud45c\ub77c\uace0 \ub9d0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \uc774 \uc138 \uac00\uc9c0 \uc694\uc18c \uc0ac\uc774\uc5d0\ub294 \uc720\uc758\ubbf8\ud55c \uc0c1\ud638\uc791\uc6a9 \ud6a8\uacfc\uac00 \uc5c6\ub2e4\uace0 \ub9d0\ud560 \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 ANOVA \ubaa8\ub378\uc744 \ub9de\ucd94\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><\/p>\n","protected":false},"excerpt":{"rendered":"<p>3\uc6d0 ANOVA\ub294 \uc138 \uac00\uc9c0 \uc694\uc778\uc5d0 \uac78\uccd0 \ubd84\ud3ec\ub41c \uc138 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 R\uc5d0\uc11c 3\uc6d0 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608: R\uc758 \uc0bc\uc6d0 \ubd84\uc0b0\ubd84\uc11d \uc5f0\uad6c\uc790\uac00 \ub450 \uac00\uc9c0 \ud6c8\ub828 \ud504\ub85c\uadf8\ub7a8\uc774 \ub300\ud559 \ub18d\uad6c \uc120\uc218\ub4e4 \uc0ac\uc774\uc5d0\uc11c \uc810\ud504 \ub192\uc774\uc758 \ud3c9\uade0 \ud5a5\uc0c1\uc73c\ub85c \uc774\uc5b4\uc9c0\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5f0\uad6c\uc6d0\uc740 \uc131\ubcc4\uacfc [&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-2545","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\uc5d0\uc11c 3\uc6d0 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc804\uccb4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec R\uc5d0\uc11c 3\uc6d0 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \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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