{"id":4025,"date":"2023-07-14T02:03:32","date_gmt":"2023-07-14T02:03:32","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%83%9e%e3%82%a4%e3%82%af%e3%83%ad%e3%83%98%e3%82%99%e3%83%b3%e3%83%81%e3%83%9e%e3%83%bc%e3%82%af\/"},"modified":"2023-07-14T02:03:32","modified_gmt":"2023-07-14T02:03:32","slug":"r-%e3%83%9e%e3%82%a4%e3%82%af%e3%83%ad%e3%83%98%e3%82%99%e3%83%b3%e3%83%81%e3%83%9e%e3%83%bc%e3%82%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%83%9e%e3%82%a4%e3%82%af%e3%83%ad%e3%83%98%e3%82%99%e3%83%b3%e3%83%81%e3%83%9e%e3%83%bc%e3%82%af\/","title":{"rendered":"A: \u30de\u30a4\u30af\u30ed\u30d9\u30f3\u30c1\u30de\u30fc\u30af \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066\u5b9f\u884c\u6642\u9593\u3092\u6e2c\u5b9a\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u306e<strong>\u30de\u30a4\u30af\u30ed\u30d9\u30f3\u30c1\u30de\u30fc\u30af<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066\u3001\u3055\u307e\u3056\u307e\u306a\u5f0f\u306e\u5b9f\u884c\u6642\u9593\u3092\u6bd4\u8f03\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u884c\u3046\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (microbenchmark)\n\n<span style=\"color: #008080;\">#compare execution time of two different expressions\n<\/span>microbenchmark(\n  expression1,\n  expression2)\n)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: R \u3067\u306e microbenchmark() \u306e\u4f7f\u7528<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">R \u306b\u3001\u3055\u307e\u3056\u307e\u306a\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb \u30c1\u30fc\u30e0\u306e\u9078\u624b\u304c\u7372\u5f97\u3057\u305f\u30dd\u30a4\u30f3\u30c8\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u542b\u3080\u6b21\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seed<\/span> ( <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=rep(c(' <span style=\"color: #ff0000;\">A<\/span> ', ' <span style=\"color: #ff0000;\">B<\/span> '), each= <span style=\"color: #008000;\">500<\/span> ),\n                 points=rnorm( <span style=\"color: #008000;\">1000<\/span> , mean= <span style=\"color: #008000;\">20<\/span> ))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>head(df)\n\n  team points\n1 A 19.37355\n2 A 20.18364\n3 A 19.16437\n4 A 21.59528\n5 A 20.32951\n6 A 19.17953\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u3053\u3067\u30012 \u3064\u306e\u7570\u306a\u308b\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u3001\u5404\u30c1\u30fc\u30e0\u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u304c\u7372\u5f97\u3057\u305f\u5e73\u5747\u30dd\u30a4\u30f3\u30c8\u3092\u8a08\u7b97\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1<\/strong> : Base R \u304b\u3089<strong>Aggregate()<\/strong>\u3092\u4f7f\u7528\u3059\u308b<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2<\/strong> : dplyr \u306e<strong>group_by()<\/strong>\u3068<strong>summarise_at()<\/strong>\u3092\u4f7f\u7528\u3059\u308b<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>microbenchmark()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u3053\u308c\u3089\u306e\u5404\u5f0f\u306e\u5b9f\u884c\u306b\u304b\u304b\u308b\u6642\u9593\u3092\u6e2c\u5b9a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (microbenchmark)\n<span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#time how long it takes to calculate mean value of points by team\n<\/span>microbenchmark(\n  aggregate(df$points, list(df$team), FUN=mean),\n  df %&gt;% group_by(team) %&gt;% summarise_at(vars(points), list(name = mean))\n)\n\nUnit: milliseconds\n                                                                    express\n                         aggregate(df$points, list(df$team), FUN = mean)\n df %&gt;% group_by(team) %&gt;% summarise_at(vars(points), list(name = mean))\n      min lq mean median uq max neval cld\n 1.307908 1.524078 1.852167 1.743568 2.093813 4.67408 100 a \n 6.788584 7.810932 9.946286 8.914692 10.239904 56.20928 100 b\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>microbenchmark()<\/strong>\u95a2\u6570\u306f\u5404\u5f0f\u3092 100 \u56de\u5b9f\u884c\u3057\u3001\u6b21\u306e\u30e1\u30c8\u30ea\u30af\u30b9\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>min<\/strong> : \u5b9f\u884c\u306b\u5fc5\u8981\u306a\u6700\u5c0f\u6642\u9593<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>lq<\/strong> : \u5b8c\u4e86\u307e\u3067\u306b\u5fc5\u8981\u306a\u6642\u9593\u306e\u4e0b\u4f4d 4 \u5206\u306e 1 (25 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>Mean<\/strong> : \u5b9f\u884c\u306b\u8981\u3057\u305f\u5e73\u5747\u6642\u9593<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>median<\/strong> : \u5b9f\u884c\u6642\u9593\u306e\u4e2d\u592e\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>uq<\/strong> : \u5b9f\u884c\u306b\u5fc5\u8981\u306a\u6642\u9593\u306e\u4e0a\u4f4d 4 \u5206\u306e 1 (75 \u30d1\u30fc\u30bb\u30f3\u30bf\u30a4\u30eb)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>max<\/strong> : \u5b9f\u884c\u306b\u5fc5\u8981\u306a\u6700\u5927\u6642\u9593<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>neval<\/strong> : \u5404\u5f0f\u304c\u8a55\u4fa1\u3055\u308c\u305f\u56de\u6570<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u901a\u5e38\u3001\u5404\u5f0f\u306e\u5b9f\u884c\u306b\u304b\u304b\u308b\u6642\u9593\u306e\u5e73\u5747\u307e\u305f\u306f\u4e2d\u592e\u5024\u306e\u307f\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">R \u30d9\u30fc\u30b9\u306e\u65b9\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u30c1\u30fc\u30e0 \u30dd\u30a4\u30f3\u30c8\u306e\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u5e73\u5747<strong>1,852 \u30df\u30ea\u79d2<\/strong>\u304b\u304b\u308a\u307e\u3057\u305f\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">dplyr \u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30c1\u30fc\u30e0\u3054\u3068\u306e\u5e73\u5747\u30dd\u30a4\u30f3\u30c8\u3092\u8a08\u7b97\u3059\u308b\u306b\u306f\u3001\u5e73\u5747<strong>9.946 \u30df\u30ea\u79d2<\/strong>\u304b\u304b\u308a\u307e\u3057\u305f\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3089\u306e\u7d50\u679c\u306b\u57fa\u3065\u3044\u3066\u3001\u57fa\u672c\u7684\u306a R \u30e1\u30bd\u30c3\u30c9\u304c\u5927\u5e45\u306b\u9ad8\u901f\u3067\u3042\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>boxplot()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5404\u5f0f\u306e\u5b9f\u884c\u306b\u5fc5\u8981\u306a\u6642\u9593\u306e\u5206\u5e03\u3092\u8996\u899a\u5316\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (microbenchmark)\n<span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#time how long it takes to calculate mean value of points by team\n<\/span>results &lt;- microbenchmark(\n  aggregate(df$points, list(df$team), FUN=mean),\n  df %&gt;% group_by(team) %&gt;% summarise_at(vars(points), list(name = mean))\n)\n\n<span style=\"color: #008080;\">#create boxplot to visualize results\n<\/span>boxplot(results, names=c(' <span style=\"color: #ff0000;\">Base R<\/span> ', ' <span style=\"color: #ff0000;\">dplyr<\/span> '))\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-32184\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/micro1.jpg\" alt=\"microbenchmark \u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u7bb1\u3072\u3052\u56f3\u306f R \u3092\u4e0e\u3048\u307e\u3059\" width=\"492\" height=\"448\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u7bb1\u3072\u3052\u56f3\u304b\u3089\u3001dplyr \u30e1\u30bd\u30c3\u30c9\u306f\u30c1\u30fc\u30e0\u3054\u3068\u306e\u5e73\u5747\u30dd\u30a4\u30f3\u30c8\u5024\u3092\u8a08\u7b97\u3059\u308b\u306e\u306b\u5e73\u5747\u3057\u3066\u6642\u9593\u304c\u304b\u304b\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: \u3053\u306e\u4f8b\u3067\u306f\u3001 <strong>microbenchmark()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 2 \u3064\u306e\u7570\u306a\u308b\u5f0f\u306e\u5b9f\u884c\u6642\u9593\u3092\u6bd4\u8f03\u3057\u307e\u3057\u305f\u304c\u3001\u5b9f\u969b\u306b\u306f\u5fc5\u8981\u306a\u3060\u3051\u5f0f\u3092\u6bd4\u8f03\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30bf\u30b9\u30af\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/r\u306e\u30af\u30ea\u30a2\u306a\u74b0\u5883\/\" target=\"_blank\" rel=\"noopener\">R\u3067\u74b0\u5883\u3092\u30af\u30ea\u30a2\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u75d5\u8de1\u3092\u6d88\u53bb\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">RStudio \u3067\u3059\u3079\u3066\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u30af\u30ea\u30a2\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u8907\u6570\u306e\u30cf\u309a\u30c3\u30b1\u30fc\u30b7\u3099\u3092-r-\u306b\u30ed\u30fc\u30c8\u3099\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">R\u3067\u8907\u6570\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30ed\u30fc\u30c9\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u306e\u30de\u30a4\u30af\u30ed\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066\u3001\u3055\u307e\u3056\u307e\u306a\u5f0f\u306e\u5b9f\u884c\u6642\u9593\u3092\u6bd4\u8f03\u3067\u304d\u307e\u3059\u3002 \u3053\u308c\u3092\u884c\u3046\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002 library (microbenchmark) #compare execution t [&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-4025","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>A: \u30de\u30a4\u30af\u30ed\u30d9\u30f3\u30c1\u30de\u30fc\u30af \u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066\u5b9f\u884c\u6642\u9593\u3092\u6e2c\u5b9a\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30de\u30a4\u30af\u30ed\u30d9\u30f3\u30c1\u30de\u30fc\u30af 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