{"id":486,"date":"2023-07-29T17:59:32","date_gmt":"2023-07-29T17:59:32","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%a7%e1%86%ab%e1%84%85%e1%85%a7%e1%86%bc-%e1%84%91%e1%85%b5%e1%84%85%e1%85%a1%e1%84%86%e1%85%b5%e1%84%83%e1%85%b3\/"},"modified":"2023-07-29T17:59:32","modified_gmt":"2023-07-29T17:59:32","slug":"r%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%a7%e1%86%ab%e1%84%85%e1%85%a7%e1%86%bc-%e1%84%91%e1%85%b5%e1%84%85%e1%85%a1%e1%84%86%e1%85%b5%e1%84%83%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8b%e1%85%a7%e1%86%ab%e1%84%85%e1%85%a7%e1%86%bc-%e1%84%91%e1%85%b5%e1%84%85%e1%85%a1%e1%84%86%e1%85%b5%e1%84%83%e1%85%b3\/","title":{"rendered":"R\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub294<\/strong> \ud2b9\uc815 \uc778\uad6c\uc758 \uc5f0\ub839\uacfc \uc131\ubcc4 \ubd84\ud3ec\ub97c \ubcf4\uc5ec\uc8fc\ub294 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \uc778\uad6c \uad6c\uc131\uacfc \ud604\uc7ac \uc778\uad6c \uc99d\uac00 \ucd94\uc138\ub97c \uc27d\uac8c \uc774\ud574\ud560 \uc218 \uc788\ub294 \uc720\uc6a9\ud55c \ucc28\ud2b8\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\uac00 \uc9c1\uc0ac\uac01\ud615 \ubaa8\uc591\uc774\ub77c\uba74 \uc778\uad6c\uac00 \ub354 \ub290\ub9b0 \uc18d\ub3c4\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc774\uc804 \uc138\ub300\ub294 \uac70\uc758 \uac19\uc740 \ud06c\uae30\uc758 \uc0c8\ub85c\uc6b4 \uc138\ub300\ub85c \ub300\uccb4\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\uac00 \ud53c\ub77c\ubbf8\ub4dc \ubaa8\uc591\uc774\ub77c\uba74 \uc778\uad6c\uac00 \ub354 \ube60\ub978 \uc18d\ub3c4\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ub354 \uc624\ub798\ub41c \uc138\ub300\ub294 \uc0c8\ub86d\uace0 \ub354 \ud070 \uc138\ub300\ub97c \ub0b3\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub798\ud504\uc758 \uc67c\ucabd\uacfc \uc624\ub978\ucabd\uc5d0\ub294 \uc131\ubcc4\uc774 \ud45c\uc2dc\ub418\uace0, y\ucd95\uc5d0\ub294 \uc5f0\ub839\uc774 \ud45c\uc2dc\ub418\uba70, x\ucd95\uc5d0\ub294 \uc778\uad6c\uc758 \ube44\uc728\uc774\ub098 \uc591\uc774 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>R\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc \ub9cc\ub4e4\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc5f0\ub839(0~100\uc138) \ubc0f \uc131\ubcc4(M = &#8220;\ub0a8\uc131&#8221;, F = &#8220;\uc5ec\uc131&#8221;)\uc744 \uae30\uc900\uc73c\ub85c \uc778\uad6c \uad6c\uc131 \ube44\uc728\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ub2e4\uc74c \ub370\uc774\ud130 \uc138\ud2b8\uac00 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible<\/span>\nset.seed(1)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>data &lt;- data.frame(age = rep(1:100, 2), gender = rep(c(\"M\", \"F\"), each = 100))\n\n<span style=\"color: #008080;\">#add variable population\n<\/span>data$population &lt;- 1\/sqrt(data$age) * runif(200, 10000, 15000)\n\n<span style=\"color: #008080;\">#convert population variable to percentage\n<\/span>data$population &lt;- data$population \/ sum(data$population) * 100\n\n<span style=\"color: #008080;\">#view first six rows of dataset\n<\/span>head(data)\n\n# age gender population\n#1 1M 2.424362\n#2 2M 1.794957\n#3 3M 1.589594\n#4 4M 1.556063\n#5 5M 1.053662\n#6 6M 1.266231\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>ggplot2<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub300\ud55c \uae30\ubcf8 \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>ggplot2\n<\/em><\/span>library(ggplot2)\n\n<span style=\"color: #008080;\">#create population pyramid<\/span>\nggplot(data, aes(x = age, fill = gender,\n                 y = ifelse(test = gender == \"M\",\n                            yes = -population, no = population))) + \n  geom_bar(stat = \"identity\") +\n  scale_y_continuous(labels = abs, limits = max(data$population) * c(-1,1)) +\n  coordinate_flip()<\/strong><\/pre>\n<h3> <strong>\uc81c\ubaa9 \ubc0f \ud0dc\uadf8 \ucd94\uac00<\/strong><\/h3>\n<p> <span style=\"color: #000000;\"><strong>labs()<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\uc5d0 \uc81c\ubaa9\uacfc \ucd95 \ub808\uc774\ube14\uc744 \ubaa8\ub450 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(data, aes(x = age, fill = gender,\n                 y = ifelse(test = gender == \"M\",\n                            yes = -population, no = population))) + \n  geom_bar(stat = \"identity\") +\n  scale_y_continuous(labels = abs, limits = max(data$population) * c(-1,1)) <span style=\"color: #800080;\">+\n  labs(title = \"Population Pyramid\", x = \"Age\", y = \"Percent of population\")<\/span> +\n  coordinate_flip()<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc0c9\uc0c1 \ubcc0\uacbd<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><strong>scale_color_manual()<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc131\ubcc4\uc744 \ub098\ud0c0\ub0b4\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \ub450 \uac00\uc9c0 \uc0c9\uc0c1\uc744 \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(data, aes(x = age, fill = gender,\n                 y = ifelse(test = gender == \"M\",\n                            yes = -population, no = population))) + \n  geom_bar(stat = \"identity\") +\n  scale_y_continuous(labels = abs, limits = max(data$population) * c(-1,1)) +\n  labs(title = \"Population Pyramid\", x = \"Age\", y = \"Percent of population\") <span style=\"color: #800080;\">+\n  scale_color_manual(values = c(\"pink\", \"steelblue\"),<\/span>\n<span style=\"color: #800080;\">aesthetics = c(\"color\", \"fill\"))<\/span> +\n  coordinate_flip()<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\ub2e4\uc591\ud55c \uc5f0\ub839 \ud53c\ub77c\ubbf8\ub4dc<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\"><strong>Facet_wrap()<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ud568\uaed8 \uadf8\ub9ac\ub294 \uac83\ub3c4 \uac00\ub2a5\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uad6d\uac00 <em>A, B,<\/em> <em>C<\/em> \uc5d0 \ub300\ud55c \uc778\uad6c \ub370\uc774\ud130\uac00 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \ub2e4\uc74c \ucf54\ub4dc\ub294 \uac01 \uad6d\uac00\uc5d0 \ub300\ud55c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible<\/span>\nset.seed(1)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>data_multiple &lt;- data.frame(age = rep(1:100, 6),\n                   gender = rep(c(\"M\", \"F\"), each = 300),\n                   country = rep(c(\"A\", \"B\", \"C\"), each = 100, times = 2))\n\n<span style=\"color: #008080;\">#add variable population\n<\/span>data_multiple$population &lt;- round(1\/sqrt(data_multiple$age)*runif(200, 10000, 15000), 0)\n\n<span style=\"color: #008080;\">#view first six rows of dataset\n<\/span>head(data_multiple)\n\n# age gender country population\n#1 1 MA 11328\n#2 2 MA 8387\n#3 3 MA 7427\n#4 4 MA 7271\n#5 5 MA 4923\n#6 6 MA 5916\n\n<span style=\"color: #008080;\">#create one population pyramid per country\n<\/span>ggplot(data_multiple, aes(x = age, fill = gender,\n                          y = ifelse(test = gender == \"M\",\n                                     yes = -population, no = population))) + \n  geom_bar(stat = \"identity\") +\n  scale_y_continuous(labels = abs, limits = max(data_multiple$population) * c(-1,1)) +\n  labs(y = \"Population Amount\") + \n  coordinate_flip() <span style=\"color: #800080;\">+\n  facet_wrap(~country) <span style=\"color: #000000;\">+<\/span>\n<span style=\"color: #000000;\">theme(axis.text.x = element_text(angle = 90, hjust = 1))<\/span> <span style=\"color: #008080;\">#rotate x-axis labels<\/span><\/span><\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\ud14c\ub9c8 \ubcc0\uacbd<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub9c8\uc9c0\ub9c9\uc73c\ub85c \uadf8\ub798\ud53d \ud14c\ub9c8\ub97c \ubcc0\uacbd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>theme_classic()\uc744<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uadf8\ub798\ud53d\uc744 \ub354\uc6b1 \ubbf8\ub2c8\uba40\ud558\uac8c \ubcf4\uc774\uac8c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(data_multiple, aes(x = age, fill = gender,\n                          y = ifelse(test = gender == \"M\",\n                                     yes = -population, no = population))) + \n  geom_bar(stat = \"identity\") +\n  scale_y_continuous(labels = abs, limits = max(data_multiple$population) * c(-1,1)) +\n  labs(y = \"Population Amount\") + \n  coordinate_flip() +\n  facet_wrap(~country) <span style=\"color: #800080;\">+<\/span>\n<span style=\"color: #800080;\">theme_classic()<\/span> + \n  theme(axis.text.x = element_text(angle = 90, hjust = 1))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub610\ub294 \uc0ac\uc6a9\uc790 \uc815\uc758 ggthemes\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. ggthemes\uc758 \uc804\uccb4 \ubaa9\ub85d\uc744 \ubcf4\ub824\uba74<\/span> <a href=\"https:\/\/yutannihilation.github.io\/allYourFigureAreBelongToUs\/ggthemes\/\" target=\"_blank\" rel=\"noopener\">\uc124\uba85\uc11c \ud398\uc774\uc9c0\ub97c<\/a> \ucc38\uc870\ud558\uc138\uc694 <span style=\"color: #000000;\">.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub294 \ud2b9\uc815 \uc778\uad6c\uc758 \uc5f0\ub839\uacfc \uc131\ubcc4 \ubd84\ud3ec\ub97c \ubcf4\uc5ec\uc8fc\ub294 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4. \uc778\uad6c \uad6c\uc131\uacfc \ud604\uc7ac \uc778\uad6c \uc99d\uac00 \ucd94\uc138\ub97c \uc27d\uac8c \uc774\ud574\ud560 \uc218 \uc788\ub294 \uc720\uc6a9\ud55c \ucc28\ud2b8\uc785\ub2c8\ub2e4. \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\uac00 \uc9c1\uc0ac\uac01\ud615 \ubaa8\uc591\uc774\ub77c\uba74 \uc778\uad6c\uac00 \ub354 \ub290\ub9b0 \uc18d\ub3c4\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc774\uc804 \uc138\ub300\ub294 \uac70\uc758 \uac19\uc740 \ud06c\uae30\uc758 \uc0c8\ub85c\uc6b4 \uc138\ub300\ub85c \ub300\uccb4\ub429\ub2c8\ub2e4. \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\uac00 \ud53c\ub77c\ubbf8\ub4dc \ubaa8\uc591\uc774\ub77c\uba74 \uc778\uad6c\uac00 \ub354 \ube60\ub978 \uc18d\ub3c4\ub85c \uc99d\uac00\ud558\uace0 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \ub354 \uc624\ub798\ub41c \uc138\ub300\ub294 \uc0c8\ub86d\uace0 [&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-486","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 - \ud1b5\uacc4\ud559\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \uc778\uad6c \ud53c\ub77c\ubbf8\ub4dc\ub97c \uc27d\uac8c \ub9cc\ub4dc\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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