{"id":1866,"date":"2023-07-24T16:14:35","date_gmt":"2023-07-24T16:14:35","guid":{"rendered":"https:\/\/statorials.org\/ja\/r%e3%81%ae%e8%a6%81%e7%b4%84%e3%83%86%e3%83%bc%e3%83%95%e3%82%99%e3%83%ab\/"},"modified":"2023-07-24T16:14:35","modified_gmt":"2023-07-24T16:14:35","slug":"r%e3%81%ae%e8%a6%81%e7%b4%84%e3%83%86%e3%83%bc%e3%83%95%e3%82%99%e3%83%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r%e3%81%ae%e8%a6%81%e7%b4%84%e3%83%86%e3%83%bc%e3%83%95%e3%82%99%e3%83%ab\/","title":{"rendered":"R \u3067\u96c6\u8a08\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u3067\u8981\u7d04\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001 <strong>psych<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<strong>description()<\/strong>\u95a2\u6570\u3068<strong>descriptionBy()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #107d3f;\"><span style=\"color: #993300;\">library<\/span> <span style=\"color: #000000;\">(psych)<\/span>\n<\/span><\/span>\n<span style=\"color: #008080;\">#create summary table\n<\/span>describe(df)\n\n<span style=\"color: #008080;\">#create summary table, grouped by a specific variable<\/span>\ndescribeBy(df, group=df$var_name)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u3053\u308c\u3089\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: \u57fa\u672c\u7684\u306a\u96c6\u8a08\u8868\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">R \u306b\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: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'A', 'B', 'B', 'C', 'C', 'C'),\n                 points=c(15, 22, 29, 41, 30, 11, 19),\n                 rebounds=c(7, 8, 6, 6, 7, 9, 13),\n                 steals=c(1, 1, 2, 3, 5, 7, 5))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  team points rebounds steals\n1 to 15 7 1\n2 A 22 8 1\n3 B 29 6 2\n4 B 41 6 3\n5 C 30 7 5\n6 C 11 9 7\n7 C 19 13 5<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>description()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u5404\u5909\u6570\u306e\u6982\u8981\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #107d3f;\"><span style=\"color: #993300;\">library<\/span> <span style=\"color: #000000;\">(psych)<\/span>\n\n<\/span><\/span><span style=\"color: #008080;\">#create summary table\n<\/span>describe(df)\n\n         vars n mean sd median trimmed mad min max range skew kurtosis\nteam* 1 7 2.14 0.90 2 2.14 1.48 1 3 2 -0.22 -1.90\npoints 2 7 23.86 10.24 22 23.86 10.38 11 41 30 0.33 -1.41\nrebounds 3 7 8.00 2.45 7 8.00 1.48 6 13 7 1.05 -0.38\nsteals 4 7 3.43 2.30 3 3.43 2.97 1 7 6 0.25 -1.73\n           se\nteam* 0.34\npoints 3.87\nrebounds 0.93\nsteals 0.87\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u306e\u5404\u5024\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>vars<\/strong> : \u5217\u756a\u53f7<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>n<\/strong> : \u6709\u52b9\u306a\u30b1\u30fc\u30b9\u306e\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>Average<\/strong> : \u5e73\u5747\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>median<\/strong> : \u4e2d\u592e\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>rimmed<\/strong> : \u30c8\u30ea\u30df\u30f3\u30b0\u3055\u308c\u305f\u5e73\u5747 (\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001\u89b3\u6e2c\u5024\u306e 10% \u304c\u4e21\u7aef\u3067\u524a\u9664\u3055\u308c\u307e\u3059)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>mad<\/strong> : (\u4e2d\u592e\u5024\u304b\u3089\u306e) \u7d76\u5bfe\u4e2d\u592e\u5024\u504f\u5dee<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>min<\/strong> : \u6700\u5c0f\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>max<\/strong> : \u6700\u5927\u5024<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>range<\/strong> : \u5024\u306e\u7bc4\u56f2(\u6700\u5927\u5024 \u2013 \u6700\u5c0f\u5024)<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u30b9\u30ad\u30e5\u30fc<\/strong>: \u975e\u5bfe\u79f0<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5c16\u5ea6<\/strong>: \u5e73\u5766\u5316<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>se<\/strong> : \u6a19\u6e96\u8aa4\u5dee<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u30a2\u30b9\u30bf\u30ea\u30b9\u30af (*) \u306e\u4ed8\u3044\u305f\u5909\u6570\u306f\u3001\u5024\u306e\u9806\u5e8f\u3092\u8868\u3059\u5024\u3092\u6301\u3064\u6570\u5024\u5909\u6570\u306b\u5909\u63db\u3055\u308c\u305f\u30ab\u30c6\u30b4\u30ea\u5909\u6570\u307e\u305f\u306f\u8ad6\u7406\u5909\u6570\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u306f\u3001\u300c\u30c1\u30fc\u30e0\u300d\u5909\u6570\u304c\u6570\u5024\u5909\u6570\u306b\u5909\u63db\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u5bfe\u5fdc\u3059\u308b\u8981\u7d04\u7d71\u8a08\u91cf\u3092\u6587\u5b57\u901a\u308a\u306b\u89e3\u91c8\u3059\u3079\u304d\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u307e\u305f\u3001 <strong>fast=TRUE<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u6700\u3082\u4e00\u822c\u7684\u306a\u6982\u8981\u7d71\u8a08\u306e\u307f\u3092\u8a08\u7b97\u3067\u304d\u308b\u3053\u3068\u306b\u3082\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create smaller summary table\n<\/span>describe(df, fast= <span style=\"color: #008000;\">TRUE<\/span> )\n\n         vars n mean sd min max range se\nteam 1 7 NaN NA Inf -Inf -Inf NA\npoints 2 7 23.86 10.24 11 41 30 3.87\nrebounds 3 7 8.00 2.45 6 13 7 0.93\nsteals 4 7 3.43 2.30 1 7 6 0.87<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u7279\u5b9a\u306e\u5909\u6570\u306e\u8981\u7d04\u7d71\u8a08\u306e\u307f\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u3082\u9078\u629e\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create summary table for just 'points' and 'rebounds' columns\n<\/span>describe(df[, c(' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ')], fast= <span style=\"color: #008000;\">TRUE<\/span> )\n\n         vars n mean sd min max range se\npoints 1 7 23.86 10.24 11 41 30 3.87\nrebounds 2 7 8.00 2.45 6 13 7 0.93<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u7279\u5b9a\u306e\u5909\u6570\u3054\u3068\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3055\u308c\u305f\u8981\u7d04\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>describeBy()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u300c\u30c1\u30fc\u30e0\u300d\u5909\u6570\u306b\u3088\u3063\u3066\u30b0\u30eb\u30fc\u30d7\u5316\u3055\u308c\u305f\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u6982\u8981\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create summary table, grouped by 'team' variable\n<\/span>describeBy(df, group=df$team, fast= <span style=\"color: #008000;\">TRUE<\/span> )\n\n Descriptive statistics by group \ngroup: A\n         vars n mean sd min max range se\nteam 1 2 NaN NA Inf -Inf -Inf NA\npoints 2 2 18.5 4.95 15 22 7 3.5\nrebounds 3 2 7.5 0.71 7 8 1 0.5\nsteals 4 2 1.0 0.00 1 1 0 0.0\n-------------------------------------------------- ---------- \ngroup: B\n         vars n mean sd min max range se\nteam 1 2 NaN NA Inf -Inf -Inf NA\npoints 2 2 35.0 8.49 29 41 12 6.0\nrebounds 3 2 6.0 0.00 6 6 0 0.0\nsteals 4 2 2.5 0.71 2 3 1 0.5\n-------------------------------------------------- ---------- \ngroup: C\n         vars n mean sd min max range se\nteam 1 3 NaN NA Inf -Inf -Inf NA\npoints 2 3 20.00 9.54 11 30 19 5.51\nrebounds 3 3 9.67 3.06 7 13 6 1.76\nsteals 4 3 5.67 1.15 5 7 2 0.67\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u51fa\u529b\u306b\u306f\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e 3 \u3064\u306e\u30c1\u30fc\u30e0\u305d\u308c\u305e\u308c\u306e\u6982\u8981\u7d71\u8a08\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/r-\u306b\u307e\u3068\u3081\u3089\u308c\u305f-5-\u3064\u306e\u6570\u5b57\/\">R \u3067 5 \u3064\u306e\u6570\u5024\u306e\u8981\u7d04\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u30af\u3099\u30eb\u30fc\u30d5\u309a\u3053\u3099\u3068\u306e\u5e73\u5747\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u306e\u30af\u3099\u30eb\u30fc\u30d5\u309a\u3053\u3099\u3068\u306e\u5408\u8a08\/\" target=\"_blank\" rel=\"noopener\">R\u3067\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306e\u5408\u8a08\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u5206\u6563\/\" target=\"_blank\" rel=\"noopener\">R\u306e\u5206\u6563\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u5171\u5206\u6563\u884c\u5217-r\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u5171\u5206\u6563\u884c\u5217\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u3067\u8981\u7d04\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001 psych\u30e9\u30a4\u30d6\u30e9\u30ea\u306edescription()\u95a2\u6570\u3068descriptionBy()\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002 library (psych) #create summary [&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-1866","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\u8981\u7d04\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5 - Statology<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R 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