{"id":510,"date":"2023-07-29T16:08:42","date_gmt":"2023-07-29T16:08:42","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%bc%e3%82%bb%e3%83%b3%e3%82%bf%e3%82%a4%e3%83%ab\/"},"modified":"2023-07-29T16:08:42","modified_gmt":"2023-07-29T16:08:42","slug":"r-%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%bc%e3%82%bb%e3%83%b3%e3%82%bf%e3%82%a4%e3%83%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%83%8f%e3%82%9a%e3%83%bc%e3%82%bb%e3%83%b3%e3%82%bf%e3%82%a4%e3%83%ab\/","title":{"rendered":"R \u3067\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u7c21\u5358\u306b\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e<sup>n \u756a\u76ee\u306e<\/sup><strong>\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb<\/strong>\u306f\u3001\u3059\u3079\u3066\u306e\u5024\u3092\u6700\u5c0f\u5024\u304b\u3089\u6700\u5927\u5024\u306e\u9806\u306b\u4e26\u3079\u66ff\u3048\u305f\u3068\u304d\u306b\u3001\u30c7\u30fc\u30bf\u5024\u306e\u6700\u521d\u306e<em>n<\/em>\u30d1\u30fc\u30bb\u30f3\u30c8\u3092\u5207\u308a\u6368\u3066\u308b\u5024\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305f\u3068\u3048\u3070\u3001\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e 90 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306f\u3001\u30c7\u30fc\u30bf\u5024\u306e\u4e0b\u4f4d 90% \u3068\u30c7\u30fc\u30bf\u5024\u306e\u4e0a\u4f4d 10% \u3092\u5206\u3051\u308b\u5024\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6700\u3082\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e 1 \u3064\u306f\u3001\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e\u4e2d\u592e\u5024\u3092\u8868\u3059 50 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u5024\u306e 50% \u304c\u4e0b\u56de\u308b\u5024\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u8cea\u554f\u306b\u7b54\u3048\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u5b66\u751f\u304c\u4e0a\u4f4d 10% \u306b\u5165\u308b\u306b\u306f\u3001\u7279\u5b9a\u306e\u30c6\u30b9\u30c8\u3067\u3069\u306e\u304f\u3089\u3044\u306e\u5f97\u70b9\u304c\u5fc5\u8981\u3067\u3059\u304b?<\/strong>\u3053\u306e\u8cea\u554f\u306b\u7b54\u3048\u308b\u306b\u306f\u3001\u3059\u3079\u3066\u306e\u30b9\u30b3\u30a2\u306e 90 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u898b\u3064\u3051\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u4e0b\u4f4d 90% \u3068\u4e0a\u4f4d 10% \u3092\u5206\u3051\u308b\u5024\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u7279\u5b9a\u306e\u5b66\u6821\u306e\u751f\u5f92\u306e\u5e73\u5747\u8eab\u9577\u306e\u534a\u5206\u306b\u76f8\u5f53\u3059\u308b\u8eab\u9577\u306f\u3069\u308c\u304f\u3089\u3044\u3067\u3059\u304b?<\/strong>\u3053\u306e\u8cea\u554f\u306b\u7b54\u3048\u308b\u306b\u306f\u3001\u8eab\u9577\u306e 75 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3068\u8eab\u9577\u306e 25 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u898b\u3064\u3051\u307e\u3059\u3002\u3053\u308c\u3089 2 \u3064\u306e\u5024\u306f\u3001\u8eab\u9577\u306e\u4e2d\u9593 50% \u306e\u4e0a\u9650\u3068\u4e0b\u9650\u3092\u6c7a\u5b9a\u3057\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<h2> <span style=\"color: #000000;\"><strong>R \u3067\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b<strong>quantile()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001R \u3067\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u7c21\u5358\u306b\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><strong>\u5206\u4f4d\u6570<\/strong>(x, probs = seq(0, 1, 0.25))<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong>\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u6c42\u3081\u305f\u3044\u6570\u5024\u30d9\u30af\u30c8\u30eb<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>probs:<\/strong>\u898b\u3064\u3051\u305f\u3044\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u8868\u3059 [0,1] \u306e\u78ba\u7387\u306e\u6570\u5024\u30d9\u30af\u30c8\u30eb<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u30d9\u30af\u30c8\u30eb\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u6c42\u3081\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u7279\u5b9a\u306e\u30d9\u30af\u30c8\u30eb\u306e\u3055\u307e\u3056\u307e\u306a\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create vector of 100 random values uniformly distributed between 0 and 500\n<\/span>data &lt;- runif(100, 0, 500)\n\n<span style=\"color: #008080;\">#Find the quartiles (25th, 50th, and 75th percentiles) of the vector\n<\/span><span style=\"color: #800080;\">quantile<\/span> (data, probs = c(.25, .5, .75))\n\n# 25% 50% 75% \n#97.78961 225.07593 356.47943 \n\n<span style=\"color: #008080;\">#Find the deciles (10th, 20th, 30th, ..., 90th percentiles) of the vector\n<\/span><span style=\"color: #800080;\">quantile<\/span> (data, probs = seq(.1, .9, by = .1))\n\n# 10% 20% 30% 40% 50% 60% 70% 80% \n#45.92510 87.16659 129.49574 178.27989 225.07593 300.79690 337.84393 386.36108 \n#90% \n#423.28070\n\n<span style=\"color: #008080;\">#Find the 37th, 53rd, and 87th percentiles\n<\/span><span style=\"color: #800080;\">quantile<\/span> (data, probs = c(.37, .53, .87))\n\n# 37% 53% 87% \n#159.9561 239.8420 418.4787 \n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5217\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u691c\u7d22<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u7279\u5b9a\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5217\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3059\u308b\u305f\u3081\u306b\u3001\u7d44\u307f\u8fbc\u307f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<em>iris<\/em>\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>iris<\/em> dataset\n<\/span>head(iris)\n\n  Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n1 5.1 3.5 1.4 0.2 setosa\n2 4.9 3.0 1.4 0.2 setosa\n3 4.7 3.2 1.3 0.2 setosa\n4 4.6 3.1 1.5 0.2 setosa\n5 5.0 3.6 1.4 0.2 setosa\n6 5.4 3.9 1.7 0.4 setosa\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <em>Sepal.Length<\/em>\u5217\u306e 90 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u5024\u3092\u691c\u7d22\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #800080;\">quantile<\/span> (iris$Sepal.Length, probs = 0.9)\n\n#90% \n#6.9<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8907\u6570\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5217\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u691c\u7d22<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/rapply-sapply\u3068tapply\u3092\u9069\u7528\u3059\u308b\u305f\u3081\u306e\u30ab\u3099\u30a4\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>apply()<\/strong><\/a>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u8907\u6570\u306e\u5217\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u4e00\u5ea6\u306b\u898b\u3064\u3051\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define columns we want to find percentiles for\n<\/span>small_iris&lt;- iris[, c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width')]\n\n<span style=\"color: #008080;\">#use <em>apply()<\/em> function to find 90th percentile for every column<\/span>\n<span style=\"color: #800080;\">apply<\/span> (small_iris, 2, function(x) quantile(x, probs = .9))\n\n#Sepal.Length Sepal.Width Petal.Length Petal.Width \n#6.90 3.61 5.80 2.20<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u691c\u7d22<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>dplyr<\/strong><\/a>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<strong>group_by()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001R \u3067\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u305d\u308c\u305e\u308c\u306e<em>Sepal.Length<\/em>\u306e 90 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><br \/><span style=\"color: #000000;\">\u30a2\u30e4\u30e1\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e 3 \u3064\u306e\u7a2e:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>dplyr<\/em> library<\/span>\nlibrary(dplyr)\n\n<span style=\"color: #008080;\">#find 90th percentile of <em>Sepal.Length<\/em> for each of the three species<\/span>\niris %&gt;%\n  <span style=\"color: #800080;\">group_by<\/span> (Species) %&gt;%\n  <span style=\"color: #800080;\">summarize<\/span> (percent90 = quantile(Sepal.Length, probs = .9))\n\n# A tibble: 3 x 2\n#Speciespercent90\n#            \n#1 setosa 5.41\n#2 versicolor 6.7 \n#3 virginica 7.61<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u7a2e\u3054\u3068\u306e\u3059\u3079\u3066\u306e\u5909\u6570\u306e 90 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>iris %&gt;%\n  <span style=\"color: #800080;\">group_by<\/span> (Species) %&gt;%\n  <span style=\"color: #800080;\">summarize<\/span> (percent90_SL = quantile(Sepal.Length, probs = .9),\n            percent90_SW = quantile(Sepal.Width, probs = .9),\n            percent90_PL = quantile(Petal.Length, probs = .9),\n            percent90_PW = quantile(Petal.Width, probs = .9))\n\n# A tibble: 3 x 5\n# Species percent90_SL percent90_SW percent90_PL percent90_PW\n#                                      \n#1 setosa 5.41 3.9 1.7 0.4 \n#2 versicolor 6.7 3.11 4.8 1.51\n#3 virginica 7.61 3.31 6.31 2.4 \n<\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306e\u8868\u793a<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">R \u306b\u306f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u8996\u899a\u5316\u3059\u308b\u305f\u3081\u306e\u7d44\u307f\u8fbc\u307f\u95a2\u6570\u306f\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u8996\u899a\u5316\u3059\u308b\u305f\u3081\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u6bd4\u8f03\u7684\u7c21\u5358\u306b\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <em>iris<\/em>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304b\u3089<em>Sepal.Length<\/em>\u30c7\u30fc\u30bf\u5024\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb \u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>n = length(iris$Sepal.Length)\nplot((1:n - 1)\/(n - 1), sort(iris$Sepal.Length), type=\"l\",\n  main = \"Visualizing Percentiles\",\n  xlab = \"Percentile\",\n  ylab = \"Value\")<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><b>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/b><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/rapply-sapply\u3068tapply\u3092\u9069\u7528\u3059\u308b\u305f\u3081\u306e\u30ab\u3099\u30a4\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u306e apply()\u3001lapply()\u3001sapply()\u3001tapply() \u306e\u30ac\u30a4\u30c9<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u6761\u4ef6\u4ed8\u304d\u7a81\u7136\u5909\u7570r\/\" target=\"_blank\" rel=\"noopener noreferrer\">mutate() \u3068 case_when() \u3092\u4f7f\u7528\u3057\u3066 R \u3067\u65b0\u3057\u3044\u5909\u6570\u3092\u4f5c\u6210\u3059\u308b<\/a><strong><br \/><\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306en \u756a\u76ee\u306e\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306f\u3001\u3059\u3079\u3066\u306e\u5024\u3092\u6700\u5c0f\u5024\u304b\u3089\u6700\u5927\u5024\u306e\u9806\u306b\u4e26\u3079\u66ff\u3048\u305f\u3068\u304d\u306b\u3001\u30c7\u30fc\u30bf\u5024\u306e\u6700\u521d\u306en\u30d1\u30fc\u30bb\u30f3\u30c8\u3092\u5207\u308a\u6368\u3066\u308b\u5024\u3067\u3059\u3002 \u305f\u3068\u3048\u3070\u3001\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306e 90 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u306f\u3001\u30c7\u30fc\u30bf\u5024\u306e\u4e0b\u4f4d 90%  [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-510","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R \u3067\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u7c21\u5358\u306b\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - \u7d71\u8a08<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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