{"id":1133,"date":"2023-07-27T13:23:25","date_gmt":"2023-07-27T13:23:25","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%83%8d%e3%82%b9%e3%83%88%e3%81%95%e3%82%8c%e3%81%9f-for-%e3%83%ab%e3%83%bc%e3%83%95%e3%82%9a\/"},"modified":"2023-07-27T13:23:25","modified_gmt":"2023-07-27T13:23:25","slug":"r-%e3%81%ae%e3%83%8d%e3%82%b9%e3%83%88%e3%81%95%e3%82%8c%e3%81%9f-for-%e3%83%ab%e3%83%bc%e3%83%95%e3%82%9a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%83%8d%e3%82%b9%e3%83%88%e3%81%95%e3%82%8c%e3%81%9f-for-%e3%83%ab%e3%83%bc%e3%83%95%e3%82%9a\/","title":{"rendered":"R \u3067\u5165\u308c\u5b50\u306b\u306a\u3063\u305f for \u30eb\u30fc\u30d7\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3092\u542b\u3080)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u30cd\u30b9\u30c8\u3055\u308c\u305f for \u30eb\u30fc\u30d7\u3092<\/strong>\u4f7f\u7528\u3059\u308b\u3068\u3001\u8907\u6570\u306e\u30d9\u30af\u30c8\u30eb (\u307e\u305f\u306f\u884c\u5217\u306e\u8907\u6570\u306e\u6b21\u5143) \u306e\u8981\u7d20\u3092\u53cd\u5fa9\u51e6\u7406\u3057\u3001\u7279\u5b9a\u306e\u64cd\u4f5c\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">R \u306e<strong>for \u30eb\u30fc\u30d7<\/strong>\u306e\u57fa\u672c\u69cb\u9020\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #339966;\">for<\/span> (i <span style=\"color: #339966;\">in<\/span> 1:4) {\n  <span style=\"color: #993300;\">print<\/span> (i)\n}\n\n[1] 1\n[1] 2\n[1] 3\n[1] 4<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u30cd\u30b9\u30c8\u3055\u308c\u305f for \u30eb\u30fc\u30d7<\/strong>\u306e\u57fa\u672c\u69cb\u9020\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #339966;\">for<\/span> (i <span style=\"color: #339966;\">in<\/span> 1:4) {\n  <span style=\"color: #008000;\">for<\/span> (j <span style=\"color: #008000;\">in<\/span> 1:2) {\n    <span style=\"color: #993300;\">print<\/span> (i*j)\n  }\n}\n\n[1] 1\n[1] 2\n[1] 2\n[1] 4\n[1] 3\n[1] 6\n[1] 4\n[1] 8<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30cd\u30b9\u30c8\u3055\u308c\u305f for \u30eb\u30fc\u30d7\u3092\u4f5c\u6210\u3059\u308b\u4f8b\u3092\u3044\u304f\u3064\u304b\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: R \u306e\u5165\u308c\u5b50\u306b\u306a\u3063\u305f For \u30eb\u30fc\u30d7<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30cd\u30b9\u30c8\u3055\u308c\u305f for \u30eb\u30fc\u30d7\u3092\u4f7f\u7528\u3057\u3066 4&#215;4 \u884c\u5217\u306e\u5024\u3092\u57cb\u3081\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: #339966;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create matrix\n<\/span>empty_mat &lt;- matrix(nrow= <span style=\"color: #993300;\">4<\/span> , ncol= <span style=\"color: #993300;\">4<\/span> )\n<span style=\"color: #008080;\">\n#view empty matrix<\/span>\nempty_mat\n     [,1] [,2] [,3] [,4]\n[1,] NA NA NA NA\n[2,] NA NA NA NA\n[3,] NA NA NA NA\n[4,] NA NA NA NA\n\n<span style=\"color: #008080;\">#use nested for loop to fill in values of matrix\n<\/span><span style=\"color: #008000;\">for<\/span> (i <span style=\"color: #008000;\">in<\/span> 1:4) {\n  <span style=\"color: #008000;\">for<\/span> (j <span style=\"color: #008000;\">in<\/span> 1:4) {\n    empty_mat[i, j] = (i*j)\n  }\n}\n\n<span style=\"color: #008080;\">#view matrix<\/span>\nempty_mat\n\n     [,1] [,2] [,3] [,4]\n[1,] 1 2 3 4\n[2,] 2 4 6 8\n[3,] 3 6 9 12\n[4,] 4 8 12 16\n<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: R \u306e\u5165\u308c\u5b50\u306b\u306a\u3063\u305f For \u30eb\u30fc\u30d7<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30cd\u30b9\u30c8\u3055\u308c\u305f for \u30eb\u30fc\u30d7\u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u5404\u5024\u3092 2 \u4e57\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: #339966;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create empty data frame\n<\/span>df &lt;- data.frame(var1=c(1, 7, 4),\n                 var2=c(9, 13, 15))\n<span style=\"color: #008080;\">\n#view empty data frame<\/span>\ndf\n\n  var1 var2\n1 1 9\n2 7 13\n3 4 15\n\n<span style=\"color: #008080;\">#use nested for loop to square each value in the data frame\n<\/span><span style=\"color: #008000;\">for<\/span> (i <span style=\"color: #008000;\">in<\/span> 1:nrow(df)) {\n  <span style=\"color: #008000;\">for<\/span> (j <span style=\"color: #008000;\">in<\/span> 1:ncol(df)) {\n    df[i, j] = df[i, j]^2\n  }\n}\n\n<span style=\"color: #008080;\">#view new data frame<\/span>\ndf\n\n  var1 var2\n1 1 81\n2 49 169\n3 16 225<\/span><\/span><\/strong><\/pre>\n<h3><strong>\u30eb\u30fc\u30d7\u3059\u308b\u5834\u5408\u306e\u6ce8\u610f\u70b9<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u4e00\u822c\u306b\u3001\u5165\u308c\u5b50\u306b\u306a\u3063\u305f for \u30eb\u30fc\u30d7\u306f\u5c0f\u3055\u306a\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u3084\u884c\u5217\u3067\u306f\u3046\u307e\u304f\u6a5f\u80fd\u3057\u307e\u3059\u304c\u3001\u30c7\u30fc\u30bf\u304c\u5927\u304d\u3044\u5834\u5408\u306f\u975e\u5e38\u306b\u9045\u304f\u306a\u308b\u50be\u5411\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u30d3\u30c3\u30b0 \u30c7\u30fc\u30bf\u306e\u5834\u5408\u3001 <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\">\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3 \u30d5\u30a1\u30df\u30ea\u306e\u95a2\u6570\u306f<\/a>\u3088\u308a\u9ad8\u901f\u306b\u306a\u308b\u50be\u5411\u304c\u3042\u308a\u3001 <a href=\"https:\/\/cran.r-project.org\/web\/packages\/data.table\/vignettes\/datatable-intro.html\" target=\"_blank\" rel=\"noopener noreferrer\">data.table<\/a>\u30d1\u30c3\u30b1\u30fc\u30b8\u306b\u306f\u3001\u3088\u308a\u5927\u304d\u306a\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u3067\u52b9\u7387\u7684\u306b\u52d5\u4f5c\u3059\u308b\u591a\u304f\u306e\u7d44\u307f\u8fbc\u307f\u95a2\u6570\u304c\u542b\u307e\u308c\u3066\u3044\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-\u30eb\u30fc\u30d5\u309a\u30c6\u3099\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u5217\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u3067\u5217\u540d\u3092\u53cd\u5fa9\u51e6\u7406\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u30c6\u3099\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u8ffd\u52a0\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u3067\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306b\u884c\u3092\u8ffd\u52a0\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30cd\u30b9\u30c8\u3055\u308c\u305f for \u30eb\u30fc\u30d7\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u8907\u6570\u306e\u30d9\u30af\u30c8\u30eb (\u307e\u305f\u306f\u884c\u5217\u306e\u8907\u6570\u306e\u6b21\u5143) \u306e\u8981\u7d20\u3092\u53cd\u5fa9\u51e6\u7406\u3057\u3001\u7279\u5b9a\u306e\u64cd\u4f5c\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002 R \u306efor \u30eb\u30fc\u30d7\u306e\u57fa\u672c\u69cb\u9020\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002 for (i in 1:4) { p [&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-1133","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast 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\u3067\u5165\u308c\u5b50\u306b\u306a\u3063\u305f For \u30eb\u30fc\u30d7\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3092\u542b\u3080)\" \/>\n<meta property=\"og:description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30cd\u30b9\u30c8\u3055\u308c\u305f for \u30eb\u30fc\u30d7\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ja\/r-\u306e\u30cd\u30b9\u30c8\u3055\u308c\u305f-for-\u30eb\u30fc\u30d5\u309a\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T13:23:25+00:00\" \/>\n<meta name=\"author\" content=\"\u30d9\u30f3\u30b8\u30e3\u30df\u30f3\u30fb\u30a2\u30f3\u30c0\u30fc\u30bd\u30f3\u535a\u58eb\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta 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(\u4f8b\u3092\u542b\u3080)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ja\/#website\"},\"datePublished\":\"2023-07-27T13:23:25+00:00\",\"dateModified\":\"2023-07-27T13:23:25+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ja\/#\/schema\/person\/86b92d2dd87368b26360d19d9c6a5d83\"},\"description\":\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30cd\u30b9\u30c8\u3055\u308c\u305f for 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