{"id":1954,"date":"2023-07-24T07:42:01","date_gmt":"2023-07-24T07:42:01","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-1-%e3%81%a4%e3%81%ae%e5%88%97%e3%81%ab-na-%e3%81%8b%e3%82%99%e5%90%ab%e3%81%be%e3%82%8c%e3%82%8b%e8%a1%8c%e3%82%92%e5%89%8a%e9%99%a4%e3%81%99%e3%82%8b\/"},"modified":"2023-07-24T07:42:01","modified_gmt":"2023-07-24T07:42:01","slug":"r-1-%e3%81%a4%e3%81%ae%e5%88%97%e3%81%ab-na-%e3%81%8b%e3%82%99%e5%90%ab%e3%81%be%e3%82%8c%e3%82%8b%e8%a1%8c%e3%82%92%e5%89%8a%e9%99%a4%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-1-%e3%81%a4%e3%81%ae%e5%88%97%e3%81%ab-na-%e3%81%8b%e3%82%99%e5%90%ab%e3%81%be%e3%82%8c%e3%82%8b%e8%a1%8c%e3%82%92%e5%89%8a%e9%99%a4%e3%81%99%e3%82%8b\/","title":{"rendered":"R\u306e\u7279\u5b9a\u306e\u5217\u3067na\u306e\u884c\u3092\u524a\u9664\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6b21\u306e 3 \u3064\u306e\u65b9\u6cd5\u306e\u3044\u305a\u308c\u304b\u3092\u4f7f\u7528\u3057\u3066\u3001R \u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u7279\u5b9a\u306e\u5217\u306b\u3042\u308b NA \u306e\u884c\u3092\u524a\u9664\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#use is.na() method<\/span>\ndf[!is. <span style=\"color: #3366ff;\">na<\/span> (df$col_name),]\n\n<span style=\"color: #008080;\">#use subset() method\n<\/span>subset(df, !is. <span style=\"color: #3366ff;\">na<\/span> (col_name))\n\n<span style=\"color: #008080;\">#use tidyr method\n<\/span><span style=\"color: #993300;\">library<\/span> (tidyr)\ndf %&gt;% drop_na(col_name)\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3089\u306e\u5404\u30e1\u30bd\u30c3\u30c9\u306f\u540c\u3058\u7d50\u679c\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u6b21\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3067\u3053\u308c\u3089\u306e\u5404\u30e1\u30bd\u30c3\u30c9\u3092\u5b9f\u969b\u306b\u4f7f\u7528\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 data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (a = c(NA, 14, 19, 22, 26),\n                 b = c(14, NA, 9, NA, 5),\n                 c = c(45, 56, 54, 57, 59))\n\n<span style=\"color: #008080;\">#view data frame<\/span><\/strong>\n<span style=\"color: #000000;\"><strong>df<\/strong><\/span>\n\n<strong>ABC\n1 NA 14 45\n2 14 NA 56\n3 19 9 54\n4 22 NA 57\n5 26 5 59\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1: is.na() \u3092\u4f7f\u7528\u3057\u3066 NA \u306e\u884c\u3092\u524a\u9664\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>is.na()<\/strong>\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u5217\u306b NA \u5024\u3092\u6301\u3064\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u304b\u3089\u884c\u3092\u524a\u9664\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;\">#remove rows from data frame with NA values in column 'b'<\/span>\ndf[!is. <span style=\"color: #3366ff;\">na<\/span> (df$b),]\n\n   ABC\n1 NA 14 45\n3 19 9 54\n5 26 5 59\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2: subset() \u3092\u4f7f\u7528\u3057\u3066 NA \u306e\u884c\u3092\u524a\u9664\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>subset()<\/strong>\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u5217\u306b NA \u5024\u3092\u6301\u3064\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u304b\u3089\u884c\u3092\u524a\u9664\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;\">#remove rows from data frame with NA values in column 'b'<\/span>\nsubset(df, !is. <span style=\"color: #3366ff;\">na<\/span> (b))\n\n   ABC\n1 NA 14 45\n3 19 9 54\n5 26 5 59<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 3: drop_na() \u3092\u4f7f\u7528\u3057\u3066 NA \u3067\u884c\u3092\u524a\u9664\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>drop_na()<\/strong>\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u7279\u5b9a\u306e\u5217\u306b NA \u5024\u3092\u6301\u3064\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u304b\u3089\u884c\u3092\u524a\u9664\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;\"><span style=\"color: #000000;\"><span style=\"color: #993300;\">library<\/span> (tidyr)<\/span>\n\n#remove rows from data frame with NA values in column 'b'<\/span>\ndf %&gt;% drop_na(b)\n\n   ABC\n1 NA 14 45\n3 19 9 54\n5 26 5 59<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">3 \u3064\u306e\u65b9\u6cd5\u306e\u305d\u308c\u305e\u308c\u304c\u540c\u3058\u7d50\u679c\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8:<\/strong><a href=\"https:\/\/tidyr.tidyverse.org\/reference\/drop_na.html\" target=\"_blank\" rel=\"noopener\">\u3053\u3053\u3067\u3001<\/a> drop_na() \u30e1\u30bd\u30c3\u30c9\u306e\u5b8c\u5168\u306a\u30aa\u30f3\u30e9\u30a4\u30f3 \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\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-\u5404\u884c\u306b\u95a2\u6570\u3092\u9069\u7528\u3059\u308b\/\" target=\"_blank\" rel=\"noopener\">R \u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u5404\u884c\u306b\u95a2\u6570\u3092\u9069\u7528\u3059\u308b\u65b9\u6cd5<\/a><br \/>R\u3067\u884c\u756a\u53f7\u3092\u53d6\u5f97\u3059\u308b\u65b9\u6cd5<br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u30c6\u3099\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u8ffd\u52a0\/\" target=\"_blank\" rel=\"noopener\">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>\u6b21\u306e 3 \u3064\u306e\u65b9\u6cd5\u306e\u3044\u305a\u308c\u304b\u3092\u4f7f\u7528\u3057\u3066\u3001R \u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u7279\u5b9a\u306e\u5217\u306b\u3042\u308b NA \u306e\u884c\u3092\u524a\u9664\u3067\u304d\u307e\u3059\u3002 #use is.na() method df[!is. na (df$col_name),] #use subs [&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-1954","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 \u306e\u7279\u5b9a\u306e\u5217\u3067 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