{"id":479,"date":"2023-07-29T18:32:36","date_gmt":"2023-07-29T18:32:36","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%ad%e3%83%aa%e3%83%9b%e3%82%9a%e3%83%83%e3%83%95%e3%82%9ar%e3%82%af%e3%82%99%e3%83%a9%e3%83%95%e3%82%a3%e3%83%83%e3%82%af\/"},"modified":"2023-07-29T18:32:36","modified_gmt":"2023-07-29T18:32:36","slug":"%e3%83%ad%e3%83%aa%e3%83%9b%e3%82%9a%e3%83%83%e3%83%95%e3%82%9ar%e3%82%af%e3%82%99%e3%83%a9%e3%83%95%e3%82%a3%e3%83%83%e3%82%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%ad%e3%83%aa%e3%83%9b%e3%82%9a%e3%83%83%e3%83%95%e3%82%9ar%e3%82%af%e3%82%99%e3%83%a9%e3%83%95%e3%82%a3%e3%83%83%e3%82%af\/","title":{"rendered":"R \u3067\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u68d2\u30b0\u30e9\u30d5\u3068\u540c\u69d8\u306b\u3001<strong>\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u306f<\/strong>\u3001\u30ab\u30c6\u30b4\u30ea\u5909\u6570\u306e\u5b9a\u91cf\u7684\u306a\u5024\u3092\u6bd4\u8f03\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3067\u306f\u3001\u68d2\u3092\u4f7f\u7528\u3059\u308b\u4ee3\u308f\u308a\u306b\u3001\u7aef\u306b\u5186\u304c\u4ed8\u3044\u305f\u7dda\u3092\u4f7f\u7528\u3057\u3066\u5b9a\u91cf\u7684\u306a\u5024\u3092\u8868\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u306f\u3001\u30c1\u30e3\u30fc\u30c8\u4e0a\u306e\u8272\u306e\u91cf\u3092\u6700\u5c0f\u9650\u306b\u6291\u3048\u3001\u30c1\u30e3\u30fc\u30c8\u4e0a\u306e\u7dda\u3084\u4ed6\u306e\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u3067\u306f\u306a\u304f\u3001\u30c1\u30e3\u30fc\u30c8\u4e0a\u306e\u5b9f\u969b\u306e\u5024\u306b\u8aad\u8005\u306e\u6ce8\u610f\u3092\u96c6\u4e2d\u3055\u305b\u306a\u304c\u3089\u3001\u8907\u6570\u306e\u30ab\u30c6\u30b4\u30ea\u3092\u6bd4\u8f03\u3059\u308b\u306e\u306b\u6700\u9069\u306a\u65b9\u6cd5\u3067\u3059\u3002\u591a\u304f\u306e\u4eba\u306f\u3001\u30ed\u30ea\u30dd\u30c3\u30d7 \u30dc\u30fc\u30c9\u304c\u898b\u305f\u76ee\u306b\u3082\u7f8e\u3057\u3044\u3068\u8003\u3048\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u6b21\u306e\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a\u624b\u9806\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: R \u306e\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u306f\u3001 <strong>mtcars<\/strong>\u7d44\u307f\u8fbc\u307f R \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of <em>mtcars\n<\/em><\/span>head(mtcars)\n<\/strong><\/pre>\n<h3><\/h3>\n<h2><span style=\"color: #000000;\"><strong>\u57fa\u672c\u7684\u306a\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u305d\u306e\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002 <strong>&nbsp;<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e 32 \u53f0\u306e\u5404\u8eca\u306e<em>mpg<\/em> (\u30ac\u30ed\u30f3\u3042\u305f\u308a\u306e\u30de\u30a4\u30eb\u6570) \u3092\u6bd4\u8f03\u3059\u308b\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8eca\u306e\u540d\u524d\u306f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u884c\u540d\u3067\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u6700\u521d\u306b\u3053\u308c\u3089\u306e\u884c\u540d\u3092\u542b\u3080\u65b0\u3057\u3044\u5217\u3092\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u306e\u4f5c\u6210\u306b\u4f7f\u7528\u3059\u308b<strong>ggplot2<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u8aad\u307f\u8fbc\u307f\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">ggplot2 \u3067\u306f\u3001 <strong>geom_segment<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u30d7\u30ed\u30c3\u30c8\u4e0a\u306b\u7dda\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u958b\u59cb x \u5024\u3068\u7d42\u4e86 x \u5024\u3092\u305d\u308c\u305e\u308c<em>0<\/em>\u3068<em>mpg<\/em>\u306b\u8a2d\u5b9a\u3057\u307e\u3059\u3002\u958b\u59cb y \u5024\u3068\u7d42\u4e86 y \u5024\u3092<em>char<\/em>\u3068\u3057\u3066\u8a2d\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new column for car names<\/span>\nmtcars$car &lt;- row.names(mtcars)\n\n<span style=\"color: #008080;\">#load <em>ggplot2<\/em> library<\/span>\nlibrary(ggplot2)\n\n<span style=\"color: #008080;\">#create lollipop chart<\/span>\nggplot(mtcars, aes(x = mpg, y = car)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u30e9\u30d9\u30eb\u306e\u8ffd\u52a0<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\"><strong>label<\/strong>\u3068<strong>geom_text<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u30b0\u30e9\u30d5\u306b\u30e9\u30d9\u30eb\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars, aes(x = mpg, y = car, <span style=\"color: #800080;\">label = mpg<\/span> )) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point() <span style=\"color: #800080;\">+\n        geom_text(nudge_x = 1.5)<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u307e\u305f\u306f\u3001\u30e9\u30d9\u30eb\u3092\u5404\u884c\u306e\u672b\u5c3e\u306b\u914d\u7f6e\u3059\u308b\u4ee3\u308f\u308a\u306b\u3001\u5186\u3092\u5927\u304d\u304f\u3057\u3001\u30e9\u30d9\u30eb\u306e\u30d5\u30a9\u30f3\u30c8\u306e\u8272\u3092\u767d\u306b\u5909\u66f4\u3059\u308b\u3053\u3068\u3067\u3001\u30e9\u30d9\u30eb\u3092\u5186\u81ea\u4f53\u306e\u5185\u5074\u306b\u914d\u7f6e\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars, aes(x = mpg, y = car, label = mpg)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point( <span style=\"color: #800080;\">size = 7<\/span> ) +\n        geom_text( <span style=\"color: #800080;\">color = 'white', size = 2<\/span> )<\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u5024\u3092\u5e73\u5747\u3068\u6bd4\u8f03\u3059\u308b<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3092\u4f7f\u7528\u3057\u3066\u3001\u5024\u3092\u7279\u5b9a\u306e\u6570\u5024\u3068\u6bd4\u8f03\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5e73\u5747<em>mpg<\/em>\u5024\u3092\u898b\u3064\u3051\u3066\u3001\u5404\u8eca\u306e<em>mpg<\/em>\u3092\u5e73\u5747\u3068\u6bd4\u8f03\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>dplyr<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u5e73\u5747<em>mpg<\/em>\u5024\u3092\u691c\u7d22\u3057\u3001\u8eca\u3092<em>mpg \u306e<\/em>\u6607\u9806\u306b\u4e26\u3079\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load library <em>dplyr\n<\/em><\/span>library(dplyr)\n\n<span style=\"color: #008080;\">#find mean value of <em>mpg<\/em> and arrange cars in order <em>by mpg<\/em> descending<\/span>\nmtcars_new &lt;- mtcars %&gt;%\n                arrange(mpg) %&gt;%\n                mutate(mean_mpg = mean(mpg),\n                       flag = ifelse(mpg - mean_mpg &gt; 0, TRUE, FALSE),\n                       car = factor(car, levels = .$car))\n\n<span style=\"color: #008080;\">#view first six rows of <em>mtcars_new\n<\/em><span style=\"color: #000000;\">head(mtcars_new)\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5186\u306e\u8272\u3092<em>\u30d5\u30e9\u30b0<\/em>\u5024 (\u3053\u306e\u5834\u5408\u306f TRUE \u307e\u305f\u306f FALSE) \u306b\u8a2d\u5b9a\u3057\u3001\u5404\u8eca\u306e\u958b\u59cb x \u5024\u3092\u5e73\u5747<em>mpg<\/em>\u5024\u306b\u7b49\u3057\u304f\u8a2d\u5b9a\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30ed\u30ea\u30dd\u30c3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars_new, aes(x = mpg, y = car, <span style=\"color: #800080;\">color = flag<\/span> )) +\n        geom_segment(aes( <span style=\"color: #800080;\">x = mean_mpg<\/span> , y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30bf\u30a4\u30d7\u306e\u30ab\u30e9\u30fc \u30d1\u30ec\u30c3\u30c8\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5e73\u5747\u3088\u308a\u3082<em>\u71c3\u8cbb<\/em>\u304c\u4f4e\u3044\u8eca\u3068\u9ad8\u3044\u8eca\u3092\u7c21\u5358\u306b\u5224\u65ad\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001R \u306f\u30c1\u30e3\u30fc\u30c8\u306e\u8272\u3068\u3057\u3066\u9752\u3068\u8d64\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u305f\u3060\u3057\u3001 <strong>scale_color_manual<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u4efb\u610f\u306e\u8272\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car)) +\n        geom_point() <span style=\"color: #800080;\">+\n        scale_color_manual(values = c(\"purple\", \"blue\"))<\/span><\/strong><\/pre>\n<h2><strong><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u30c1\u30e3\u30fc\u30c8\u306e\u7f8e\u3057\u3055\u3092\u5909\u3048\u308b<\/span><\/span><\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u6700\u5f8c\u306b\u3001 <strong>ggplot2<\/strong>\u306e\u5e45\u5e83\u3044\u6a5f\u80fd\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c1\u30e3\u30fc\u30c8\u306e\u7f8e\u3057\u3055\u3092\u3055\u3089\u306b\u5909\u66f4\u3057\u3001\u30d7\u30ed\u30d5\u30a7\u30c3\u30b7\u30e7\u30ca\u30eb\u306a\u5916\u89b3\u306e\u6700\u7d42\u88fd\u54c1\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car), color = \"grey\") +\n        geom_point() +\n        annotate(\"text\", x = 27, y = 20, label = \"Above Average\", color = \"#00BFC4\", size = 3, hjust = -0.1, vjust = .75) +\n        annotate(\"text\", x = 27, y = 17, label = \"Below Average\", color = \"#F8766D\", size = 3, hjust = -0.1, vjust = -.1) +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 19, yend = 23),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#00BFC4\") +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 18, yend = 14),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#F8766D\") +\n        labs(title = \"Miles per Gallon by Car\") +\n        theme_minimal() +\n        theme(axis.title = element_blank(),\n              panel.grid.minor = element_blank(),\n              legend.position = \"none\",\n              text = element_text(family = \"Georgia\"),\n              axis.text.y = element_text(size = 8),\n              plot.title = element_text(size = 20, margin = margin(b = 10), hjust = 0),\n              plot.subtitle = element_text(size = 12, color = \"darkslategrey\", margin = margin(b = 25, l = -25)),\n              plot.caption = element_text(size = 8, margin = margin(t = 10), color = \"grey70\", hjust = 0))<\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u68d2\u30b0\u30e9\u30d5\u3068\u540c\u69d8\u306b\u3001\u30ed\u30ea\u30dd\u30c3\u30d7 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