{"id":1043,"date":"2023-07-27T20:59:15","date_gmt":"2023-07-27T20:59:15","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a9-%e1%84%8c%e1%85%a1%e1%86%a8%e1%84%8b%e1%85%ad%e1%86%bc-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-r\/"},"modified":"2023-07-27T20:59:15","modified_gmt":"2023-07-27T20:59:15","slug":"%e1%84%89%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a9-%e1%84%8c%e1%85%a1%e1%86%a8%e1%84%8b%e1%85%ad%e1%86%bc-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%89%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a9-%e1%84%8c%e1%85%a1%e1%86%a8%e1%84%8b%e1%85%ad%e1%86%bc-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-r\/","title":{"rendered":"R\uc5d0\uc11c \uc0c1\ud638 \uc791\uc6a9 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\uc591\ubc29\ud5a5 ANOVA\ub294 \ub450<\/a> \uc694\uc778\uc73c\ub85c \ubd84\ud560\ub41c 3\uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd \uadf8\ub8f9 \ud3c9\uade0 \uac04\uc5d0 \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n

\ub450 \uac00\uc9c0 \ud2b9\uc815 \uc694\uc778\uc774 \ud2b9\uc815 \ubc18\uc751 \ubcc0\uc218\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc54c\uace0 \uc2f6\uc744 \ub54c \uc591\ubc29\ud5a5 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uadf8\ub7ec\ub098 \ub54c\ub85c\ub294 \ub450 \uc694\uc778 \uc0ac\uc774\uc5d0 \uc0c1\ud638 \uc791\uc6a9 \ud6a8\uacfc\uac00<\/strong> \uc788\uc5b4 \uc694\uc778\uacfc \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc5d0 \uc601\ud5a5\uc744 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc608\ub97c \ub4e4\uc5b4, \uc694\uc778 (1) \uc6b4\ub3d9<\/em> \uacfc (2) \uc131\ubcc4\uc774<\/em> \ubc18\uc751 \ubcc0\uc218 \uccb4\uc911 \uac10\uc18c\uc5d0<\/em> \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc54c\uace0 \uc2f6\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \uc694\uc778 \ubaa8\ub450 \uccb4\uc911 \uac10\ub7c9\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce60 \uc218\ub3c4 \uc788\uc9c0\ub9cc \uc11c\ub85c \uc0c1\ud638 \uc791\uc6a9\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc608\ub97c \ub4e4\uc5b4, \uc6b4\ub3d9\uc73c\ub85c \uc778\ud574 \ub0a8\uc131\uacfc \uc5ec\uc131\uc758 \uccb4\uc911 \uac10\ub7c9 \uc18d\ub3c4\uac00 \uc11c\ub85c \ub2e4\ub97c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uacbd\uc6b0 \uc6b4\ub3d9\uacfc \uc131\ubcc4 \uc0ac\uc774\uc5d0 \uc0c1\ud638\uc791\uc6a9 \ud6a8\uacfc\uac00 \uc788\ub2e4.<\/span><\/p>\n

\ub450 \uc694\uc778 \uac04\uc758 \uc0c1\ud638\uc791\uc6a9 \ud6a8\uacfc\ub97c \uac10\uc9c0\ud558\uace0 \uc774\ud574\ud558\ub294 \uac00\uc7a5 \uac04\ub2e8\ud55c \ubc29\ubc95\uc740 \uc0c1\ud638\uc791\uc6a9 \uadf8\ub798\ud504\ub97c<\/strong> \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n

y\ucd95\uc5d0 \ubc18\uc751\ubcc0\uc218\uc758 \uc801\ud569\uce58\ub97c, x\ucd95\uc5d0 \uccab \ubc88\uc9f8 \uc694\uc778\uc758 \uac12\uc744 \ud45c\uc2dc\ud558\ub294 \uc77c\uc885\uc758 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \ud55c\ud3b8, \uadf8\ub798\ud504\uc758 \uc120\uc740 \ub450 \ubc88\uc9f8 \uad00\uc2ec \uc694\uc18c\uc758 \uac12\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span> <\/p>\n

\"R\uc758<\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \uc0c1\ud638\uc791\uc6a9 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\uace0 \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: R\uc758 \uc0c1\ud638\uc791\uc6a9 \ud50c\ub86f<\/strong><\/span><\/h3>\n

\uc5f0\uad6c\uc790\ub4e4\uc774 \uc6b4\ub3d9 \uac15\ub3c4\uc640 \uc131\ubcc4\uc774 \uccb4\uc911 \uac10\ub7c9\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud14c\uc2a4\ud2b8\ud558\uae30 \uc704\ud574 \uadf8\ub4e4\uc740 \ub0a8\uc131 30\uba85\uacfc \uc5ec\uc131 30\uba85\uc744 \ubaa8\uc9d1\ud558\uc5ec \ubb34\uc791\uc704\ub85c 10\uba85\uc5d0\uac8c \ud55c \ub2ec \ub3d9\uc548 \uc6b4\ub3d9\ud558\uc9c0 \uc54a\uac70\ub098 \uac00\ubcbc\uc6b4 \uc6b4\ub3d9 \ub610\ub294 \uac15\ub82c\ud55c \uc6b4\ub3d9 \ud504\ub85c\uadf8\ub7a8\uc744 \ub530\ub974\ub3c4\ub85d \ubc30\uc815\ud558\ub294 \uc2e4\ud5d8\uc5d0 \ucc38\uc5ec\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\uc74c \ub2e8\uacc4\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc0dd\uc131\ud558\uace0, \uc591\ubc29\ud5a5 ANOVA\ub97c \uc218\ud589\ud558\uace0, \uc0c1\ud638 \uc791\uc6a9 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\uc5ec \uc6b4\ub3d9\uacfc \uc131\ubcc4 \uac04\uc758 \uc0c1\ud638 \uc791\uc6a9 \ud6a8\uacfc\ub97c \uc2dc\uac01\ud654\ud569\ub2c8\ub2e4.<\/span><\/p>\n

1\ub2e8\uacc4: \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 R\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 #make this example reproducible\n<\/span>set.seed(10)\n\n#create data frame\n<\/span>data <- data.frame(gender = rep<\/span> (c(\"Male\", \"Female\"), each<\/span> = 30<\/span> ),\n                   exercise = rep<\/span> (c(\"None\", \"Light\", \"Intense\"), each<\/span> = 10<\/span> , times<\/span> = 2<\/span> ),\n                   weight_loss = c(runif(10, -3, 3), runif(10, 0, 5), runif(10, 5, 9),\n                                   runif(10, -4, 2), runif(10, 0, 3), runif(10, 3, 8)))\n\n#view first six rows of data frame\n<\/span>head(data)\n\n  gender exercise weight_loss\n1 Male None 0.04486922\n2 Male None -1.15938896\n3 Male None -0.43855400\n4 Male None 1.15861249\n5 Male None -2.48918419\n6 Male None -1.64738030<\/strong><\/pre>\n
 2\ub2e8\uacc4: \uc591\ubc29\ud5a5 ANOVA \ubaa8\ub378\uc744 \ud53c\ud305\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc591\ubc29\ud5a5 \ubd84\uc0b0 \ubd84\uc11d\uc744 \ub370\uc774\ud130\uc5d0 \ub9de\ucd94\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #fit the two-way ANOVA model\n<\/span>model <- aov(weight_loss ~ gender * exercise, data = data)\n\n#view the model output<\/span>\nsummary(model)\n\n# Df Sum Sq Mean Sq F value Pr(>F)    \n#gender 1 15.8 15.80 11.197 0.0015 ** \n#exercise 2 505.6 252.78 179.087 <2e-16 ***\n#gender:exercise 2 13.0 6.51 4.615 0.0141 *  \n#Residuals 54 76.2 1.41                   \n#---\n#Significant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1<\/strong><\/pre>\n
 \uc6b4\ub3d9\uacfc \uc131\ubcc4 \uac04\uc758 \uc0c1\ud638\uc791\uc6a9 \ud56d\uc5d0 \ub300\ud55c p-\uac12( 0.0141<\/strong> )\uc740 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\uba70, \uc774\ub294 \ub450 \uc694\uc778 \uc0ac\uc774\uc5d0 \uc0c1\ub2f9\ud55c \uc0c1\ud638\uc791\uc6a9 \ud6a8\uacfc\uac00 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
 3\ub2e8\uacc4: \uc0c1\ud638\uc791\uc6a9 \ub3c4\ud45c\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc6b4\ub3d9 \ubc0f \uc131\ubcc4\uc5d0 \ub300\ud55c \uc0c1\ud638\uc791\uc6a9 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 interaction.plot(x.factor = data$exercise, #x-axis variable<\/span>\n                 trace.factor = data$gender, #variable for lines<\/span>\n                 response = data$weight_loss, #y-axis variable<\/span>\n                 fun = median, #metric to plot<\/span>\n                 ylab = \"Weight Loss\",\n                 xlab = \"Exercise Intensity\",\n                 col = c(\"pink\", \"blue\"),\n                 lty = 1, #line type<\/span>\n                 lwd = 2, #linewidth<\/span>\n                 trace.label = \"Gender\")\n<\/strong><\/pre>\n
\"R\uc758<\/p>\n
 \uc77c\ubc18\uc801\uc73c\ub85c \uad50\ud638\uc791\uc6a9\ub3c4\uc758 \ub450 \uc120\uc774 \ud3c9\ud589\ud558\uba74 \uad50\ud638\uc791\uc6a9 \ud6a8\uacfc\uac00 \uc5c6\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc120\uc774 \uad50\ucc28\ud558\uba74 \uc0c1\ud638\uc791\uc6a9 \ud6a8\uacfc\uac00 \uc788\uc744 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uadf8\ub798\ud504\uc5d0\uc11c \ub0a8\uc131\uacfc \uc5ec\uc131\uc758 \uc120\uc774 \uad50\ucc28\ud558\ub294 \uac83\uc744 \ubcfc \uc218 \uc788\ub294\ub370, \uc774\ub294 \uc6b4\ub3d9 \uac15\ub3c4 \ubcc0\uc218\uc640 \uc131\ubcc4 \uc0ac\uc774\uc5d0 \uc0c1\ud638\uc791\uc6a9 \ud6a8\uacfc\uac00 \uc788\uc744 \uac00\ub2a5\uc131\uc774 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 ANOVA \ud14c\uc774\ube14 \uacb0\uacfc\uc758 p-\uac12\uc774 ANOVA \ubaa8\ub378\uc758 \uc0c1\ud638\uc791\uc6a9 \ud56d\uc5d0 \ub300\ud574 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud558\ub2e4\ub294 \uc0ac\uc2e4\uc5d0 \ud574\ub2f9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 R\uc5d0\uc11c \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a>
 R\uc5d0\uc11c \uc591\ubc29\ud5a5 ANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc591\ubc29\ud5a5 ANOVA\ub294 \ub450 \uc694\uc778\uc73c\ub85c \ubd84\ud560\ub41c 3\uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd \uadf8\ub8f9 \ud3c9\uade0 \uac04\uc5d0 \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ub450 \uac00\uc9c0 \ud2b9\uc815 \uc694\uc778\uc774 \ud2b9\uc815 \ubc18\uc751 \ubcc0\uc218\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc54c\uace0 \uc2f6\uc744 \ub54c \uc591\ubc29\ud5a5 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub54c\ub85c\ub294 \ub450 \uc694\uc778 \uc0ac\uc774\uc5d0 \uc0c1\ud638 \uc791\uc6a9 \ud6a8\uacfc\uac00 \uc788\uc5b4 \uc694\uc778\uacfc \ubc18\uc751 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc5d0 \uc601\ud5a5\uc744 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc694\uc778 […]<\/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-1043","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nR - 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