{"id":2799,"date":"2023-07-20T15:27:27","date_gmt":"2023-07-20T15:27:27","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%82%bf%e3%82%99%e3%82%a4%e3%83%a4%e3%83%a2%e3%83%b3%e3%83%88%e3%82%99-%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%82%bb%e3%83%83%e3%83%88\/"},"modified":"2023-07-20T15:27:27","modified_gmt":"2023-07-20T15:27:27","slug":"r-%e3%82%bf%e3%82%99%e3%82%a4%e3%83%a4%e3%83%a2%e3%83%b3%e3%83%88%e3%82%99-%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%82%bb%e3%83%83%e3%83%88","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%82%bf%e3%82%99%e3%82%a4%e3%83%a4%e3%83%a2%e3%83%b3%e3%83%88%e3%82%99-%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%82%bb%e3%83%83%e3%83%88\/","title":{"rendered":"R \u306e\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5b8c\u5168\u30ac\u30a4\u30c9"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><b>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9<\/b>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001R \u306e<a href=\"https:\/\/ggplot2.tidyverse.org\/reference\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a>\u30d1\u30c3\u30b1\u30fc\u30b8\u306b\u7d44\u307f\u8fbc\u307e\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306b\u306f\u300153,940 \u500b\u306e\u7570\u306a\u308b\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9\u306b\u95a2\u3059\u308b 10 \u306e\u7570\u306a\u308b\u5909\u6570 (\u4fa1\u683c\u3001\u8272\u3001\u900f\u660e\u5ea6\u306a\u3069) \u306e\u6e2c\u5b9a\u7d50\u679c\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067<strong>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8abf\u67fb\u3001\u8981\u7d04\u3001\u8996\u899a\u5316\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8aad\u307f\u8fbc\u307f<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><b>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9<\/b>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f ggplot2 \u306e\u7d44\u307f\u8fbc\u307f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3042\u308b\u305f\u3081\u3001\u6700\u521d\u306b ggplot2 \u30d1\u30c3\u30b1\u30fc\u30b8\u3092 (\u307e\u3060\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3044\u306a\u3044\u5834\u5408) \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u8aad\u307f\u8fbc\u3080\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#install ggplot2 if not already installed<\/span>\ninstall. <span style=\"color: #3366ff;\">packages<\/span> (' <span style=\"color: #ff0000;\">ggplot2<\/span> ')<span style=\"color: #008080;\">\n\n#load ggplot2\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (ggplot2)<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">ggplot2 \u3092\u30ed\u30fc\u30c9\u3057\u305f\u3089\u3001 <strong>data()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066<strong>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30ed\u30fc\u30c9\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>data(diamonds)<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>head()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u521d\u306e 6 \u884c\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view first six rows of diamonds dataset<\/span>\nhead(diamonds)\n\n  carat cut color clarity depth table price xyz\n1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43\n2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31\n3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31\n4 0.290 Premium I VS2 62.4 58 334 4.2 4.23 2.63\n5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75\n6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48\n<\/strong><\/span><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8981\u7d04\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><strong>summary()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5404\u5909\u6570\u3092\u3059\u3070\u3084\u304f\u8981\u7d04\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#summarize diamonds dataset<\/span>\nsummary(diamonds)\n\n     carat cut color clarity depth      \n Min. :0.2000 Fair: 1610 D: 6775 SI1:13065 Min. :43.00  \n 1st Qu.:0.4000 Good: 4906 E: 9797 VS2:12258 1st Qu.:61.00  \n Median: 0.7000 Very Good: 12082 F: 9542 SI2: 9194 Median: 61.80  \n Mean: 0.7979 Premium: 13791 G: 11292 VS1: 8171 Mean: 61.75  \n 3rd Qu.:1.0400 Ideal:21551 H:8304 VVS2:5066 3rd Qu.:62.50  \n Max. :5.0100 I: 5422 VVS1: 3655 Max. :79.00  \n                                    D: 2808 (Other): 2531                  \n     table price xyz Min. :43.00 Min. : 326 Min. : 0.000 Min. : 0.000 Min. : 0.000  \n 1st Qu.: 56.00 1st Qu.: 950 1st Qu.: 4.710 1st Qu.: 4.720 1st Qu.: 2.910  \n Median: 57.00 Median: 2401 Median: 5.700 Median: 5.710 Median: 3.530  \n Mean: 57.46 Mean: 3933 Mean: 5.731 Mean: 5.735 Mean: 3.539  \n 3rd Qu.: 59.00 3rd Qu.: 5324 3rd Qu.: 6.540 3rd Qu.: 6.540 3rd Qu.: 4.040  \n Max. :95.00 Max. :18823 Max. :10,740 Max. :58,900 Max. :31,800<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u5404\u6570\u5024\u5909\u6570\u306b\u3064\u3044\u3066\u3001\u6b21\u306e\u60c5\u5831\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Min<\/strong> : \u6700\u5c0f\u5024\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>1st Qu<\/strong> : \u6700\u521d\u306e\u56db\u5206\u4f4d\u6570 (25 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb) \u306e\u5024\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u4e2d\u592e\u5024<\/strong>: \u4e2d\u592e\u5024\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5e73\u5747<\/strong>: \u5e73\u5747\u5024\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>3rd Qu<\/strong> : \u7b2c 3 \u56db\u5206\u4f4d\u6570 (75 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb) \u306e\u5024\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Max<\/strong> : \u6700\u5927\u5024\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u30ab\u30c6\u30b4\u30ea\u5909\u6570 (\u30ab\u30c3\u30c8\u3001\u30ab\u30e9\u30fc\u3001\u900f\u660e\u5ea6) \u306b\u3064\u3044\u3066\u306f\u3001\u5404\u5024\u306e\u983b\u5ea6\u6570\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001 <strong>cut<\/strong>\u5909\u6570\u306e\u5834\u5408\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>Fair<\/strong> : \u3053\u306e\u5024\u306f 1,610 \u56de\u51fa\u73fe\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Good<\/strong> : \u3053\u306e\u5024\u306f 4,906 \u56de\u51fa\u73fe\u3057\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u975e\u5e38\u306b\u826f\u3044<\/strong>: \u3053\u306e\u5024\u306f 12,082 \u56de\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u30d7\u30ec\u30df\u30a2\u30e0<\/strong>: \u3053\u306e\u5024\u306f 13,791 \u56de\u51fa\u73fe\u3057\u307e\u3059\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Ideal<\/strong> : \u3053\u306e\u5024\u306f 21,551 \u56de\u51fa\u73fe\u3057\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>dim()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u884c\u6570\u3068\u5217\u6570\u306b\u95a2\u3057\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6b21\u5143\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#display rows and columns<\/span>\ndim(diamonds)\n\n[1] 53940 10\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f<b>53,940<\/b>\u884c\u3068<strong>10<\/strong>\u5217\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>names()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u5217\u540d\u3092\u8868\u793a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#display column names<\/span>\nnames(diamonds)\n\n[1] \"carat\" \"cut\" \"color\" \"clarity\" \"depth\" \"table\" \"price\" \"x\"      \n[9] \u201cy\u201d \u201cz\u201d     \n<\/strong><\/span><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u8996\u899a\u5316\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5024\u3092\u8996\u899a\u5316\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001 <strong>geom_histogram()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u5909\u6570\u306e\u5024\u306e\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create histogram of values for price<\/span>\nggplot(data=diamonds, <span style=\"color: #3366ff;\">aes<\/span> (x=price)) +\n  geom_histogram(fill=\" <span style=\"color: #ff0000;\">steelblue<\/span> \", color=\" <span style=\"color: #ff0000;\">black<\/span> \") +\n  ggtitle(\" <span style=\"color: #ff0000;\">Histogram of Price Values<\/span> \")\n<\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-24619 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/diamants2.jpg\" alt=\"\" width=\"566\" height=\"414\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>geom_point()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5909\u6570\u306e\u30da\u30a2\u3054\u3068\u306e\u7d44\u307f\u5408\u308f\u305b\u306e\u70b9\u7fa4\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create scatterplot of carat vs. price, using cut as color variable<\/span>\nggplot(data=diamonds, <span style=\"color: #3366ff;\">aes<\/span> (x=carat, y=price, color=cut)) + \n  geom_point()\n<\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-24620 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/diamants3.jpg\" alt=\"\" width=\"593\" height=\"450\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>geom_boxplot()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5225\u306e\u5909\u6570\u3067\u30b0\u30eb\u30fc\u30d7\u5316\u3055\u308c\u305f\u5909\u6570\u306e\u7bb1\u3072\u3052\u56f3\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create scatterplot of price, grouped by cut<\/span>\nggplot(data=diamonds, <span style=\"color: #3366ff;\">aes<\/span> (x=cut, y=price)) + \n  geom_boxplot(fill=\" <span style=\"color: #ff0000;\">steelblue<\/span> \")\n<\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-24621 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/diamants4.jpg\" alt=\"\" width=\"556\" height=\"421\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3089\u306e ggplot2 \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001<strong>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5909\u6570\u306b\u3064\u3044\u3066\u591a\u304f\u306e\u3053\u3068\u3092\u5b66\u3076\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u4ed6\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u63a2\u7d22\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<br \/><\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u30a2\u30a4\u30ea\u30b9r\u30c6\u3099\u30fc\u30bf\u30bb\u30c3\u30c8\/\" target=\"_blank\" rel=\"noopener\">R \u306e Iris \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5b8c\u5168\u30ac\u30a4\u30c9<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/mtcars-r-\u30c6\u3099\u30fc\u30bf\u30bb\u30c3\u30c8\/\" target=\"_blank\" rel=\"noopener\">R \u306e mtcars \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5b8c\u5168\u30ac\u30a4\u30c9<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001R \u306eggplot2\u30d1\u30c3\u30b1\u30fc\u30b8\u306b\u7d44\u307f\u8fbc\u307e\u308c\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3059\u3002 \u3053\u308c\u306b\u306f\u300153,940 \u500b\u306e\u7570\u306a\u308b\u30c0\u30a4\u30e4\u30e2\u30f3\u30c9\u306b\u95a2\u3059\u308b 10 \u306e\u7570\u306a\u308b\u5909\u6570 (\u4fa1\u683c\u3001\u8272\u3001\u900f\u660e\u5ea6\u306a\u3069) \u306e\u6e2c\u5b9a\u7d50\u679c\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059 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