{"id":853,"date":"2023-07-28T12:58:50","date_gmt":"2023-07-28T12:58:50","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%87%e1%85%a1%e1%86%ab%e1%84%87%e1%85%a9%e1%86%a8-%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%8c%e1%85%a5%e1%86%bc-anova-python\/"},"modified":"2023-07-28T12:58:50","modified_gmt":"2023-07-28T12:58:50","slug":"%e1%84%87%e1%85%a1%e1%86%ab%e1%84%87%e1%85%a9%e1%86%a8-%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%8c%e1%85%a5%e1%86%bc-anova-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%87%e1%85%a1%e1%86%ab%e1%84%87%e1%85%a9%e1%86%a8-%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%8c%e1%85%a5%e1%86%bc-anova-python\/","title":{"rendered":"Python\uc5d0\uc11c \ubc18\ubcf5 \uce21\uc815 anova\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ubc18\ubcf5 \uce21\uc815 ANOVA\ub294<\/a> \uac01 \uadf8\ub8f9\uc5d0 \ub3d9\uc77c\ud55c \ub300\uc0c1\uc774 \ub098\ud0c0\ub098\ub294 3\uac1c \uc774\uc0c1\uc758 \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc77c\uc6d0 \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: Python\uc758 \ubc18\ubcf5 \uce21\uc815 ANOVA<\/strong><\/span><\/h2>\n

\uc5f0\uad6c\uc790\ub4e4\uc740 \ub124 \uac00\uc9c0 \uc57d\ubb3c\uc774 \uc11c\ub85c \ub2e4\ub978 \ubc18\uc751 \uc2dc\uac04\uc744 \uc720\ubc1c\ud558\ub294\uc9c0 \uc54c\uace0 \uc2f6\uc5b4\ud569\ub2c8\ub2e4. \uc774\ub97c \ud14c\uc2a4\ud2b8\ud558\uae30 \uc704\ud574 \uadf8\ub4e4\uc740 4\uac00\uc9c0 \ub2e4\ub978 \uc57d\ubb3c\uc5d0 \ub300\ud55c 5\uba85\uc758 \ud658\uc790\uc758 \ubc18\uc751 \uc2dc\uac04\uc744 \uce21\uc815\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uac01 \ud658\uc790\ub294 \ub124 \uac00\uc9c0 \uc57d\ubb3c \uac01\uac01\uc5d0 \ub300\ud574 \uce21\uc815\ub418\ubbc0\ub85c \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc57d\ubb3c \uac04\uc5d0 \ud3c9\uade0 \ubc18\uc751 \uc2dc\uac04\uc774 \ub2e4\ub978\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4.<\/span><\/p>\n

Python\uc5d0\uc11c \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud558\ub824\uba74 \ub2e4\uc74c \ub2e8\uacc4\ub97c \uc0ac\uc6a9\ud558\uc2ed\uc2dc\uc624.<\/span><\/p>\n

1\ub2e8\uacc4: \ub370\uc774\ud130\ub97c \uc785\ub825\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n

\uba3c\uc800 \ub370\uc774\ud130\ub97c \ubcf4\uad00\ud560 pandas DataFrame\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#createdata<\/span>\ndf = pd.DataFrame({'patient': np.repeat([1, 2, 3, 4, 5], 4),\n                   'drug': np.tile([1, 2, 3, 4], 5),\n                   'response': [30, 28, 16, 34,\n                                14, 18, 10, 22,\n                                24, 20, 18, 30,\n                                38, 34, 20, 44, \n                                26, 28, 14, 30]})\n\n#view first ten rows of data<\/span> \ndf.head[:10]\n\n\n\tpatient drug response\n0 1 1 30\n1 1 2 28\n2 1 3 16\n3 1 4 34\n4 2 1 14\n5 2 2 18\n6 2 3 10\n7 2 4 22\n8 3 1 24\n9 3 2 20<\/strong><\/pre>\n
 2\ub2e8\uacc4: \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 from<\/span> statsmodels.stats.anova import<\/span> AnovaRM\n<\/span>\n#perform the repeated measures ANOVA<\/span>\nprint(AnovaRM(data= df<\/span> , depvar=' response<\/span> ', subject=' patient<\/span> ', within=[' drug<\/span> ']).fit())\n\n              Anova\n====================================\n     F Value Num DF Den DF Pr > F\n----------------------------------\ndrug 24.7589 3.0000 12.0000 0.0000\n====================================\n<\/strong><\/pre>\n
 3\ub2e8\uacc4: \uacb0\uacfc\ub97c \ud574\uc11d\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \ubc18\ubcf5 \uce21\uc815 ANOVA\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uadc0\ubb34 \uac00\uc124\uacfc \ub300\ub9bd \uac00\uc124\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uadc0\ubb34\uac00\uc124(H 0<\/sub> ):<\/strong> \u00b5 1<\/sub> = \u00b5 2<\/sub> = \u00b5 3<\/sub> (\ubaa8\uc9d1\ub2e8 \ud3c9\uade0\uc740 \ubaa8\ub450 \ub3d9\uc77c\ud568)<\/span><\/p>\n
 \ub300\ub9bd \uac00\uc124: (Ha):<\/strong> \uc801\uc5b4\ub3c4 \ud558\ub098\uc758 \ubaa8\uc9d1\ub2e8 \ud3c9\uade0\uc774 \ub098\uba38\uc9c0 \ubaa8\uc9d1\ub2e8 \ud3c9\uade0\uacfc \ub2e4\ub985\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uc608\uc5d0\uc11c F \uac80\uc815 \ud1b5\uacc4\ub7c9\uc740 24.7589<\/strong> \uc774\uace0 \ud574\ub2f9 p-\uac12\uc740 0.0000<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 p-\uac12<\/a> \uc740 0.05\ubcf4\ub2e4 \uc791\uae30 \ub54c\ubb38\uc5d0 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \ub124 \uac00\uc9c0 \uc57d\ubb3c \uac04\uc758 \ud3c9\uade0 \ubc18\uc751 \uc2dc\uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud55c \ucc28\uc774\uac00 \uc788\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9bd\ub2c8\ub2e4.<\/span><\/p>\n
 4\ub2e8\uacc4: \uacb0\uacfc\ub97c \ubcf4\uace0\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \ub9c8\uc9c0\ub9c9\uc73c\ub85c \ubc18\ubcf5 \uce21\uc815 ANOVA\uc758 \uacb0\uacfc\ub97c \ubcf4\uace0\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc758 \uc608\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
\n
 \ubc18\uc751 \uc2dc\uac04\uc5d0 \ub300\ud55c 4\uac00\uc9c0 \ub2e4\ub978 \uc57d\ubb3c\uc758 \ud6a8\uacfc\ub97c \uc870\uc0ac\ud558\uae30 \uc704\ud574 5\uba85\uc758 \uac1c\uc778\uc5d0 \ub300\ud574 \uc77c\uc6d0 \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uacb0\uacfc\ub294 \uc0ac\uc6a9\ub41c \uc57d\ubb3c \uc720\ud615\uc5d0 \ub530\ub77c \ubc18\uc751 \uc2dc\uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud55c \ucc28\uc774\uac00 \uc788\ub294 \uac83\uc73c\ub85c \ub098\ud0c0\ub0ac\uc2b5\ub2c8\ub2e4(F(3, 12) = 24.75887, p < 0.001).<\/span><\/p>\n<\/blockquote>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \uc790\uc2b5\uc11c\uc5d0\uc11c\ub294 \ubc18\ubcf5 \uce21\uc815 ANOVA\uc5d0 \ub300\ud55c \ucd94\uac00 \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uacfc \ubc18\ubcf5 \uce21\uc815 \ubd84\uc0b0 \ubd84\uc11d: \ucc28\uc774\uc810<\/a>
 \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ub3d9\uc73c\ub85c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a>
 \ubc18\ubcf5 \uce21\uc815 ANOVA\uc758 \uc138 \uac00\uc9c0 \uac00\uc815<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ubc18\ubcf5 \uce21\uc815 ANOVA\ub294 \uac01 \uadf8\ub8f9\uc5d0 \ub3d9\uc77c\ud55c \ub300\uc0c1\uc774 \ub098\ud0c0\ub098\ub294 3\uac1c \uc774\uc0c1\uc758 \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc77c\uc6d0 \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc608: Python\uc758 \ubc18\ubcf5 \uce21\uc815 ANOVA \uc5f0\uad6c\uc790\ub4e4\uc740 \ub124 \uac00\uc9c0 \uc57d\ubb3c\uc774 \uc11c\ub85c \ub2e4\ub978 \ubc18\uc751 \uc2dc\uac04\uc744 \uc720\ubc1c\ud558\ub294\uc9c0 \uc54c\uace0 \uc2f6\uc5b4\ud569\ub2c8\ub2e4. \uc774\ub97c \ud14c\uc2a4\ud2b8\ud558\uae30 \uc704\ud574 \uadf8\ub4e4\uc740 4\uac00\uc9c0 \ub2e4\ub978 \uc57d\ubb3c\uc5d0 \ub300\ud55c […]<\/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-853","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c \ubc18\ubcf5 \uce21\uc815 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - 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