{"id":487,"date":"2023-07-29T17:55:21","date_gmt":"2023-07-29T17:55:21","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%89%e1%85%b3%e1%86%ab-%e1%84%8e%e1%85%a6%e1%84%85%e1%85%b5-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3-r\/"},"modified":"2023-07-29T17:55:21","modified_gmt":"2023-07-29T17:55:21","slug":"%e1%84%8b%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%89%e1%85%b3%e1%86%ab-%e1%84%8e%e1%85%a6%e1%84%85%e1%85%b5-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%8b%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%89%e1%85%b3%e1%86%ab-%e1%84%8e%e1%85%a6%e1%84%85%e1%85%b5-%e1%84%90%e1%85%a6%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3-r\/","title":{"rendered":"R\uc5d0\uc11c anderson-darling \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

Anderson-Darling \uac80\uc815\uc740<\/strong> \ub370\uc774\ud130\uac00 \uc9c0\uc815\ub41c \ubd84\ud3ec\uc5d0 \uc5bc\ub9c8\ub098 \uc798 \ub9de\ub294\uc9c0 \uce21\uc815\ud558\ub294 \uc801\ud569\ub3c4 \uac80\uc815\uc785\ub2c8\ub2e4. \uc774 \ud14c\uc2a4\ud2b8\ub294 \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uac00\uc7a5 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \uc720\ud615\uc758 \ud14c\uc2a4\ud2b8\ub294 \ud68c\uadc0 \ubd84\uc11d, ANOVA, t-\ud14c\uc2a4\ud2b8 \ub4f1\uc744 \ud3ec\ud568\ud55c \ub9ce\uc740 \ud1b5\uacc4 \ud14c\uc2a4\ud2b8\uc5d0\uc11c \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \uac00\uc815\uc778 \uc815\uaddc\uc131\uc744 \ud14c\uc2a4\ud2b8\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: R\uc758 Anderson-Darling \ud14c\uc2a4\ud2b8<\/strong><\/span><\/h3>\n

R\uc5d0\uc11c Anderson-Darling \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub824\uba74 nortest<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 ad.test()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 100\uac1c \uac12\uc758 \ubca1\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud14c\uc2a4\ud2b8\ud558\uae30 \uc704\ud574 AD \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 #install (if not already installed) and load nortest<\/em> library<\/span>\ninstall.packages('nortest')\nlibrary(nortest)\n\n#make this example reproducible<\/span>\nset.seed(1)\n\n#defined vector of 100 values that are normally distributed\nx <- rnorm(100, 0, 1)<\/span>\n\n#conduct Anderson-Darling Test to test for normality\nad.test(x)\n\n<\/span>#<\/span> Anderson-Darling normality test\n#\n#data:x\n#A = 0.16021, p-value = 0.9471\n<\/span><\/span><\/strong><\/pre>\n
 \uc774 \ud14c\uc2a4\ud2b8\ub294 \ub2e4\uc74c \ub450 \uac00\uc9c0 \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 A<\/strong> : \ud14c\uc2a4\ud2b8 \ud1b5\uacc4\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 p-\uac12<\/strong> : \uac80\uc815 \ud1b5\uacc4\ub7c9\uc758 \ud574\ub2f9 p-\uac12\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 AD \uac80\uc815\uc758 \uadc0\ubb34 \uac00\uc124\uc740 \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub978\ub2e4<\/em> \ub294 \uac83\uc785\ub2c8\ub2e4. \ub530\ub77c\uc11c \uac80\uc815\uc5d0 \ub300\ud55c p-\uac12\uc774 \uc720\uc758 \uc218\uc900(\uc77c\ubc18\uc801\uc73c\ub85c 0.10, 0.05, 0.01)\ubcf4\ub2e4 \uc791\uc73c\uba74 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \ub370\uc774\ud130\uac00 \ub2e4\uc74c\uc744 \ub530\ub974\uc9c0 \uc54a\ub294\ub2e4\uace0 \uc8fc\uc7a5\ud560 \uc218 \uc788\ub294 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc788\ub2e4\uace0 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc815\uc0c1\uc801\uc778 \uada4\uc801. \ubd84\ud3ec.<\/span><\/p>\n
 \uc774 \uacbd\uc6b0 p-\uac12\uc740 0.9471\uc785\ub2c8\ub2e4. \uc774 \uc22b\uc790\ub294 \uc720\uc758 \uc218\uc900(\uc608: 0.05)\ubcf4\ub2e4 \ub0ae\uc9c0 \uc54a\uc73c\ubbc0\ub85c \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud560 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc5c6\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub978\ub2e4\uace0 \ub9d0\ud558\ub294 \uac83\uc774 \uc548\uc804\ud569\ub2c8\ub2e4. \uc774\ub294 R\uc758 rnorm()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud3c9\uade0\uc774 0\uc774\uace0 \ud45c\uc900 \ud3b8\ucc28\uac00 1\uc778 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294 100\uac1c\uc758 \uac12\uc744 \uc0dd\uc131\ud588\ub2e4\ub294 \uc810\uc744 \uace0\ub824\ud558\uba74 \uc758\ubbf8\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> R\uc758 dnorm, pnorm, qnorm \ubc0f rnorm\uc5d0 \ub300\ud55c \uac00\uc774\ub4dc<\/a><\/p>\n
 \ub300\uc2e0, 0\uacfc 1 \uc0ac\uc774\uc758 \uade0\uc77c \ubd84\ud3ec\ub97c \ub530\ub974\ub294 100\uac1c \uac12\uc758 \ubca1\ud130\ub97c \uc0dd\uc131\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. AD \ud14c\uc2a4\ud2b8\ub97c \ub2e4\uc2dc \uc2e4\ud589\ud558\uc5ec \uc774 \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(1)\n\n#defined vector of 100 values that are uniformly distributed\n<\/span>x <- runif(100, 0, 1)\n\n#conduct Anderson-Darling Test to test for normality\n<\/span>ad.test(x)\n\n# Anderson-Darling normality test\n#\n#data:x\n#A = 1.1472, p-value = 0.005086\n<\/strong><\/pre>\n
 A<\/em> \uac80\uc815 \ud1b5\uacc4\ub7c9\uc740 1.1472\uc774\uace0 \ud574\ub2f9 p-\uac12\uc740 0.005086\uc785\ub2c8\ub2e4. p-\uac12\uc774 0.05\ubcf4\ub2e4 \uc791\uae30 \ub54c\ubb38\uc5d0 \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 \uc774 \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\uc9c0 \uc54a\ub294\ub2e4\uace0 \ub9d0\ud560 \uc218 \uc788\ub294 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc788\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ub370\uc774\ud130\uac00 \uc2e4\uc81c\ub85c \uade0\uc77c\ud55c \ubd84\ud3ec\ub97c \ub530\ub978\ub2e4\ub294 \uac83\uc744 \uc54c\uace0 \uc788\uae30 \ub54c\ubb38\uc5d0 \uc608\uc0c1\ud55c \uacb0\uacfc\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784 \uc5f4\uc5d0 \ub300\ud574 Anderson-Darling \ud14c\uc2a4\ud2b8 \uc218\ud589<\/strong><\/span><\/h2>\n
 R\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc9c0\uc815\ub41c \uc5f4\uc5d0 \ub300\ud574 AD \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \ub0b4\uc7a5\ub41c \ubd93\uaf43<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uace0\ub824\ud574 \ubcf4\uc138\uc694.<\/span><\/p>\n
 #view first six lines of iris<\/em> dataset<\/span>\nhead(iris)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 5.1 3.5 1.4 0.2 setosa\n#2 4.9 3.0 1.4 0.2 setosa\n#3 4.7 3.2 1.3 0.2 setosa\n#4 4.6 3.1 1.5 0.2 setosa\n#5 5.0 3.6 1.4 0.2 setosa\n#6 5.4 3.9 1.7 0.4 setosa\n<\/strong><\/pre>\n
 Petal.Width<\/em> \ubcc0\uc218\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \uc54c\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uba3c\uc800 \uac12 \ubd84\ud3ec\ub97c \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud574 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 hist(iris$Petal.Width, col = 'steelblue', main = 'Distribution of Petal Widths',\n     xlab = 'Petal Width')\n<\/strong><\/pre>\n
 \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\uc9c0 \uc54a\ub294 \uac83 \uac19\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud655\uc778\ud558\uae30 \uc704\ud574 AD \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\uc5ec \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\uc778\uc9c0 \uc5ec\ubd80\ub97c \uacf5\uc2dd\uc801\uc73c\ub85c \ud14c\uc2a4\ud2b8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #conduct Anderson-Darling Test to test for normality\n<\/span>ad.test(iris$Petal.Width)\n\n# Anderson-Darling normality test\n#\n#data: iris$Petal.Width\n#A = 5.1057, p-value = 1.125e-12\n<\/strong><\/pre>\n
 \uac80\uc815\uc758 p-\uac12\uc740 0.05\ubcf4\ub2e4 \uc791\uc73c\ubbc0\ub85c \uadc0\ubb34 \uac00\uc124\uc744 \uae30\uac01\ud558\uace0 Petal.Width\uac00<\/em> \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\uc9c0 \uc54a\ub294\ub2e4\ub294 \uacb0\ub860\uc744 \ub0b4\ub9b4 \uc218 \uc788\ub294 \ucda9\ubd84\ud55c \uc99d\uac70\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
Anderson-Darling \uac80\uc815\uc740 \ub370\uc774\ud130\uac00 \uc9c0\uc815\ub41c \ubd84\ud3ec\uc5d0 \uc5bc\ub9c8\ub098 \uc798 \ub9de\ub294\uc9c0 \uce21\uc815\ud558\ub294 \uc801\ud569\ub3c4 \uac80\uc815\uc785\ub2c8\ub2e4. \uc774 \ud14c\uc2a4\ud2b8\ub294 \ub370\uc774\ud130\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uac00\uc7a5 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc774 \uc720\ud615\uc758 \ud14c\uc2a4\ud2b8\ub294 \ud68c\uadc0 \ubd84\uc11d, ANOVA, t-\ud14c\uc2a4\ud2b8 \ub4f1\uc744 \ud3ec\ud568\ud55c \ub9ce\uc740 \ud1b5\uacc4 \ud14c\uc2a4\ud2b8\uc5d0\uc11c \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \uac00\uc815\uc778 \uc815\uaddc\uc131\uc744 \ud14c\uc2a4\ud2b8\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc608: R\uc758 Anderson-Darling \ud14c\uc2a4\ud2b8 R\uc5d0\uc11c Anderson-Darling \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub824\uba74 nortest \ub77c\uc774\ube0c\ub7ec\ub9ac\uc758 ad.test() \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 […]<\/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-487","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nR\uc5d0\uc11c Anderson-Darling \ud14c\uc2a4\ud2b8\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95 - 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