{"id":1205,"date":"2023-07-27T07:12:26","date_gmt":"2023-07-27T07:12:26","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e6%97%a5%e4%bb%98%e7%af%84%e5%9b%b2%e3%81%ab%e3%82%88%e3%82%8b%e3%82%b5%e3%83%95%e3%82%99%e3%82%bb%e3%83%83%e3%83%88\/"},"modified":"2023-07-27T07:12:26","modified_gmt":"2023-07-27T07:12:26","slug":"r-%e3%81%ae%e6%97%a5%e4%bb%98%e7%af%84%e5%9b%b2%e3%81%ab%e3%82%88%e3%82%8b%e3%82%b5%e3%83%95%e3%82%99%e3%82%bb%e3%83%83%e3%83%88","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e6%97%a5%e4%bb%98%e7%af%84%e5%9b%b2%e3%81%ab%e3%82%88%e3%82%8b%e3%82%b5%e3%83%95%e3%82%99%e3%82%bb%e3%83%83%e3%83%88\/","title":{"rendered":"R \u3067\u65e5\u4ed8\u7bc4\u56f2\u306b\u3088\u3063\u3066\u30b5\u30d6\u5b9a\u7fa9\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a)"},"content":{"rendered":"

<\/p>\n

\n

R \u3067\u65e5\u4ed8\u7bc4\u56f2\u306b\u3088\u3063\u3066\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3092\u30b5\u30d6\u5b9a\u7fa9\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n

 df[df$date >=<\/span> \" some date<\/span> \" &<\/span> df$date <=<\/span> \" some date<\/span> \", ]\n<\/strong><\/pre>\n
\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u3053\u306e\u95a2\u6570\u306e\u5b9f\u969b\u306e\u4f7f\u7528\u4f8b\u3092\u3044\u304f\u3064\u304b\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 1: 2 \u3064\u306e\u65e5\u4ed8\u9593\u306e\u30b5\u30d6\u30bb\u30c3\u30c8<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u30012 \u3064\u306e\u65e5\u4ed8\u3092\u542b\u3080\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u884c\u3092\u9078\u629e\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(0)\n\n#create data frame\n<\/span>df <- data.frame(date = as<\/span> . Date<\/span> (\" 2021-01-01<\/span> \") - 0:19,\n                 sales = runif<\/span> (20, 10, 500) + seq<\/span> (50, 69)^2)\n\n#view first six rows<\/span>\nhead(df)\n\n        dirty date\n1 2021-01-01 2949,382\n2 2020-12-31 2741.099\n3 2020-12-30 2896.341\n4 2020-12-29 3099.698\n5 2020-12-28 3371.022\n6 2020-12-27 3133.824\n\n#subset between two dates, inclusive<\/span>\ndf[df$date >=<\/span> \" 2020-12-25<\/span> \" &<\/span> df$date <=<\/span> \" 2020-12-28<\/span> \", ]\n\n        dirty dates\n5 2020-12-28 3371.022\n6 2020-12-27 3133.824\n7 2020-12-26 3586.211\n8 2020-12-25 3721.891\n<\/strong><\/pre>\n
\u4e0a\u90e8\u3068\u4e0b\u90e8\u306e\u8a18\u53f7\u3092\u5909\u66f4\u3057\u3066\u30012 \u3064\u306e\u6392\u4ed6\u7684\u306a\u65e5\u4ed8\u9593\u306e\u884c\u3092\u9078\u629e\u3059\u308b\u3060\u3051\u3067\u3059\u3002<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(0)\n\n#create data frame\n<\/span>df <- data.frame(date = as<\/span> . Date<\/span> (\" 2021-01-01<\/span> \") - 0:19,\n                 sales = runif<\/span> (20, 10, 500) + seq<\/span> (50, 69)^2)\n\n#subset between two dates, exclusive<\/span>\ndf[df$date ><\/span> \" 2020-12-25<\/span> \" &<\/span> df$date <<\/span> \" 2020-12-28<\/span> \", ]\n\n        dirty date\n6 2020-12-27 3133.824\n7 2020-12-26 3586.211\n<\/strong><\/pre>\n
\u4f8b 2: \u7279\u5b9a\u306e\u65e5\u4ed8\u4ee5\u964d\u306e\u30b5\u30d6\u30bb\u30c3\u30c8<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u7279\u5b9a\u306e\u65e5\u4ed8\u4ee5\u964d\u306b\u8868\u793a\u3055\u308c\u308b\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u884c\u3092\u9078\u629e\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(0)\n\n#create data frame\n<\/span>df <- data.frame(date = as<\/span> . Date<\/span> (\" 2021-01-01<\/span> \") - 0:19,\n                 sales = runif<\/span> (20, 10, 500) + seq<\/span> (50, 69)^2)\n\n#subset after a certain date<\/span>\ndf[df$date >=<\/span> \" 2020-12-22<\/span> \", ]\n\n         dirty dates\n1 2021-01-01 2949.382\n2 2020-12-31 2741.099\n3 2020-12-30 2896.341\n4 2020-12-29 3099.698\n5 2020-12-28 3371.022\n6 2020-12-27 3133.824\n7 2020-12-26 3586.211\n8 2020-12-25 3721.891\n9 2020-12-24 3697.791\n10 2020-12-23 3799.266\n11 2020-12-22 3640.275<\/strong><\/pre>\n
\u4f8b 3: \u7279\u5b9a\u306e\u65e5\u4ed8\u3088\u308a\u524d\u306e\u30b5\u30d6\u30bb\u30c3\u30c8<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u7279\u5b9a\u306e\u65e5\u4ed8\u3088\u308a\u524d\u306b\u767a\u751f\u3059\u308b\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u304b\u3089\u884c\u3092\u9078\u629e\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 #make this example reproducible\n<\/span>set.seed(0)\n\n#create data frame\n<\/span>df <- data.frame(date = as<\/span> . Date<\/span> (\" 2021-01-01<\/span> \") - 0:19,\n                 sales = runif<\/span> (20, 10, 500) + seq<\/span> (50, 69)^2)\n\n#subset before a certain date<\/span>\ndf[df$date <<\/span> \" 2020-12-22<\/span> \", ]\n\n         dirty date\n12 2020-12-21 3831.928\n13 2020-12-20 3940.513\n14 2020-12-19 4315.641\n15 2020-12-18 4294.211\n16 2020-12-17 4612.222\n17 2020-12-16 4609.873\n18 2020-12-15 4850.633\n19 2020-12-14 5120.034\n20 2020-12-13 4957.217<\/strong><\/pre>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
R \u3067\u6642\u7cfb\u5217\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5<\/a>
R\u3067\u65e5\u4ed8\u304b\u3089\u5e74\u3092\u62bd\u51fa\u3059\u308b\u65b9\u6cd5<\/a>
R \u3067\u65e5\u6b21\u30c7\u30fc\u30bf\u3092\u6708\u6b21\u304a\u3088\u3073\u5e74\u6b21\u30c7\u30fc\u30bf\u306b\u96c6\u8a08\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u3067\u65e5\u4ed8\u7bc4\u56f2\u306b\u3088\u3063\u3066\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3092\u30b5\u30d6\u5b9a\u7fa9\u3059\u308b\u6700\u3082\u7c21\u5358\u306a\u65b9\u6cd5\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002 df[df$date >= ” some date ” & df$date <= ” some da […]<\/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-1205","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nR \u3067\u65e5\u4ed8\u7bc4\u56f2\u306b\u3088\u3063\u3066\u30b5\u30d6\u5b9a\u7fa9\u3059\u308b\u65b9\u6cd5 (\u4f8b\u3042\u308a)<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u65e5\u4ed8\u7bc4\u56f2\u306b\u3088\u3063\u3066\u30c7\u30fc\u30bf 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