{"id":2087,"date":"2023-07-23T18:03:32","date_gmt":"2023-07-23T18:03:32","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%ad%e1%84%8b%e1%85%a3%e1%86%a8-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae\/"},"modified":"2023-07-23T18:03:32","modified_gmt":"2023-07-23T18:03:32","slug":"r%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%ad%e1%84%8b%e1%85%a3%e1%86%a8-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%ad%e1%84%8b%e1%85%a3%e1%86%a8-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae\/","title":{"rendered":"R\uc5d0\uc11c summary() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R\uc758 <strong>summary()<\/strong> \ud568\uc218\ub294 R\uc758 \ubca1\ud130, \ub370\uc774\ud130 \ud504\ub808\uc784, \ud68c\uadc0 \ubaa8\ub378 \ub610\ub294 ANOVA \ubaa8\ub378\uc758 \uac12\uc744 \ube60\ub974\uac8c \uc694\uc57d\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uad6c\ubb38\uc740 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>summary(data)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc81c 1: Vector\uc640 \ud568\uaed8 summary() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>summary()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac12\uc744 \ubca1\ud130\ub85c \uc694\uc57d\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;\">#definevector\n<\/span>x &lt;- c(3, 4, 4, 5, 7, 8, 9, 12, 13, 13, 15, 19, 21)\n\n<span style=\"color: #008080;\">#summarize values in vector\n<\/span>summary(x)\n\n   Min. 1st Qu. Median Mean 3rd Qu. Max. \n   3.00 5.00 9.00 10.23 13.00 21.00 \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>summary()<\/strong> \ud568\uc218\ub294 \ubca1\ud130\uc5d0 \ub300\ud55c \ub2e4\uc74c \uc694\uc57d \ud1b5\uacc4\ub97c \uc790\ub3d9\uc73c\ub85c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Min: \ucd5c\uc18c\uac12<\/span><\/li>\n<li> <span style=\"color: #000000;\">1st Qu: 1\uc0ac\ubd84\uc704\uc218(25\ubc88\uc9f8 \ubc31\ubd84\uc704\uc218)\uc758 \uac12<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc911\uc559\uac12: \uc911\uc559\uac12<\/span><\/li>\n<li> <span style=\"color: #000000;\">3rd Qu: 3\uc0ac\ubd84\uc704\uc218(75\ubc88\uc9f8 \ubc31\ubd84\uc704\uc218)\uc758 \uac12<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ucd5c\ub300: \ucd5c\ub300\uac12<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ubca1\ud130\uc5d0 \ub204\ub77d\ub41c \uac12(NA)\uc774 \uc788\ub294 \uacbd\uc6b0 <strong>summary()<\/strong> \ud568\uc218\ub294 \uc694\uc57d \ud1b5\uacc4\ub97c \uacc4\uc0b0\ud560 \ub54c \ud574\ub2f9 \uac12\uc744 \uc790\ub3d9\uc73c\ub85c \uc81c\uc678\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#definevector\n<\/span>x &lt;- c(3, 4, 4, 5, 7, 8, 9, 12, 13, 13, 15, 19, 21, NA, NA)\n\n<span style=\"color: #008080;\">#summarize values in vector\n<\/span>summary(x)\n\n   Min. 1st Qu. Median Mean 3rd Qu. Max. NA's \n   3.00 5.00 9.00 10.23 13.00 21.00 2<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: Data Frame\uacfc \ud568\uaed8 summary() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>summary()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uac01 \uc5f4\uc744 \uc694\uc57d\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;\">#define data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'B', 'C', 'D', 'E'),\n                 points=c(99, 90, 86, 88, 95),\n                 assists=c(33, 28, 31, 39, 34),\n                 rebounds=c(30, 28, 24, 24, 28))\n\n<span style=\"color: #008080;\">#summarize every column in data frame\n<\/span>summary(df)\n\n     team points assists rebounds   \n Length:5 Min. :86.0 Min. :28 Min. :24.0  \n Class:character 1st Qu.:88.0 1st Qu.:31 1st Qu.:24.0  \n Mode:character Median:90.0 Median:33 Median:28.0  \n                    Mean:91.6 Mean:33 Mean:26.8  \n                    3rd Qu.:95.0 3rd Qu.:34 3rd Qu.:28.0  \n                    Max. :99.0 Max. :39 Max. :30.0 \n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc81c 3: \ud2b9\uc815 \ub370\uc774\ud130 \ud504\ub808\uc784 \uc5f4\uc5d0 summary() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>summary()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \ud2b9\uc815 \uc5f4\uc744 \uc694\uc57d\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;\">#define data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'B', 'C', 'D', 'E'),\n                 points=c(99, 90, 86, 88, 95),\n                 assists=c(33, 28, 31, 39, 34),\n                 rebounds=c(30, 28, 24, 24, 28))\n\n<span style=\"color: #008080;\">#summarize every column in data frame\n<\/span>summary(df[c(' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ')])\n\n     rebound points   \n Min. :86.0 Min. :24.0  \n 1st Qu.:88.0 1st Qu.:24.0  \n Median:90.0 Median:28.0  \n Mean:91.6 Mean:26.8  \n 3rd Qu.:95.0 3rd Qu.:28.0  \n Max. :99.0 Max. :30.0<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc81c 4: \ud68c\uadc0 \ubaa8\ub378\uacfc \ud568\uaed8 summary() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>summary()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacb0\uacfc\ub97c \uc694\uc57d\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;\">#define data\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (y=c(99, 90, 86, 88, 95, 99, 91),\n                 x=c(33, 28, 31, 39, 34, 35, 36))\n\n<span style=\"color: #008080;\">#fit linear regression model\n<\/span>model &lt;- lm(y~x, data=df)\n\n<span style=\"color: #008080;\">#summarize model fit\n<\/span>summary(model)\n\nCall:\nlm(formula = y ~ x, data = df)\n\nResiduals:\n     1 2 3 4 5 6 7 \n 6,515 -1,879 -6,242 -5,212 2,394 6,273 -1,848 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)  \n(Intercept) 88.4848 22.1050 4.003 0.0103 *\nx 0.1212 0.6526 0.186 0.8599  \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 5.668 on 5 degrees of freedom\nMultiple R-squared: 0.006853, Adjusted R-squared: -0.1918 \nF-statistic: 0.0345 on 1 and 5 DF, p-value: 0.8599\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1112\u116c\u1100\u1171-\u110e\u116e\u11af\u1105\u1167\u11a8-\u1112\u1162\u1109\u1165\u11a8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ud68c\uadc0 \ucd9c\ub825\uc744 \ud574\uc11d\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 5: ANOVA \ubaa8\ub378\uc5d0 summary() \uc0ac\uc6a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>summary()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c ANOVA \ubaa8\ub378\uc758 \uacb0\uacfc\ub97c \uc694\uc57d\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>data &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (program = <span style=\"color: #3366ff;\">rep<\/span> (c(\"A\", \"B\", \"C\"), <span style=\"color: #3366ff;\">each<\/span> = <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 ANOVA model\n<\/span>model &lt;- aov(weight_loss ~ program, data = data)\n\n<span style=\"color: #008080;\">#summarize model fit\n<\/span>summary(model)\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<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ko\/lanova-\u1100\u1167\u11af\u1100\u116a\u1105\u1173\u11af-r\u1105\u1169-\u1112\u1162\u1109\u1165\u11a8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c ANOVA \uacb0\uacfc\ub97c \ud574\uc11d\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc740 R\uc758 \uc694\uc57d \ud1b5\uacc4 \uacc4\uc0b0\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r\u1105\u1169-\u110b\u116d\u110b\u1163\u11a8\u1103\u116c\u11ab-5\u1100\u1162\u110b\u1174-\u1109\u116e\u11ba\u110c\u1161\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e4\uc12f \uc22b\uc790\uc758 \uc694\uc57d\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u110b\u116d\u110b\u1163\u11a8-\u1110\u1166\u110b\u1175\u1107\u1173\u11af\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc694\uc57d \ud14c\uc774\ube14\uc744 \ub9cc\ub4dc\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1109\u1161\u11bc\u1103\u1162\u1103\u1169\u1109\u116e\u1111\u116d\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc0c1\ub300\ub3c4\uc218\ud45c\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R\uc758 summary() \ud568\uc218\ub294 R\uc758 \ubca1\ud130, \ub370\uc774\ud130 \ud504\ub808\uc784, \ud68c\uadc0 \ubaa8\ub378 \ub610\ub294 ANOVA \ubaa8\ub378\uc758 \uac12\uc744 \ube60\ub974\uac8c \uc694\uc57d\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uad6c\ubb38\uc740 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. summary(data) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608\uc81c 1: Vector\uc640 \ud568\uaed8 summary() \uc0ac\uc6a9 \ub2e4\uc74c \ucf54\ub4dc\ub294 summary() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac12\uc744 \ubca1\ud130\ub85c \uc694\uc57d\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. #definevector x &lt;- c(3, 4, [&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-2087","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 summary() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c summary() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 \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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