{"id":1091,"date":"2023-07-27T16:50:26","date_gmt":"2023-07-27T16:50:26","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%ab%e6%ac%a0%e6%90%8d%e5%80%a4%e3%82%92%e4%bb%a3%e5%85%a5%e3%81%99%e3%82%8b\/"},"modified":"2023-07-27T16:50:26","modified_gmt":"2023-07-27T16:50:26","slug":"r-%e3%81%ab%e6%ac%a0%e6%90%8d%e5%80%a4%e3%82%92%e4%bb%a3%e5%85%a5%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%ab%e6%ac%a0%e6%90%8d%e5%80%a4%e3%82%92%e4%bb%a3%e5%85%a5%e3%81%99%e3%82%8b\/","title":{"rendered":"R \u3067\u6b20\u640d\u5024\u3092\u4ee3\u5165\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u591a\u304f\u306e\u5834\u5408\u3001R \u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u5217\u306e\u6b20\u640d\u5024\u3092\u3001\u305d\u306e\u7279\u5b9a\u306e\u5217\u306e\u5e73\u5747\u5024\u307e\u305f\u306f\u4e2d\u592e\u5024\u3067\u7f6e\u304d\u63db\u3048\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5358\u4e00\u5217\u306e\u6b20\u640d\u5024\u3092\u7f6e\u63db\u3059\u308b\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>df$col[ <span style=\"color: #3366ff;\">is.na<\/span> (df$col)] &lt;- mean(df$col, <span style=\"color: #3366ff;\">na.rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8907\u6570\u306e\u5217\u306e\u6b20\u640d\u5024\u3092\u7f6e\u304d\u63db\u3048\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>for(i in 1: <span style=\"color: #3366ff;\">ncol<\/span> (df)) {\n  df[ , i][ <span style=\"color: #3366ff;\">is.na<\/span> (df[ , i])] &lt;- mean(df[ , i], <span style=\"color: #3366ff;\">na.rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n}\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u6b63\u78ba\u306b\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: \u6b20\u640d\u5024\u3092\u5217\u5e73\u5747\u3067\u7f6e\u304d\u63db\u3048\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u6700\u521d\u306e\u5217\u306e\u6b20\u640d\u5024\u3092\u6700\u521d\u306e\u5217\u306e\u5e73\u5747\u5024\u306b\u7f6e\u304d\u63db\u3048\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data.frame(var1=c(1, NA, NA, 4, 5),\n                 var2=c(7, 7, 8, 3, 2),\n                 var3=c(3, 3, 6, 6, 8),\n                 var4=c(1, 1, 2, 8, 9))\n\n<span style=\"color: #008080;\">#replace missing values in first column with mean of first column<\/span>\ndf$var1[ <span style=\"color: #3366ff;\">is.na<\/span> (df$var1)] &lt;- mean(df$var1, <span style=\"color: #3366ff;\">na.rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n\n<span style=\"color: #008080;\">#view data frame with missing values replaced<\/span>\ndf\n\n      var1 var2 var3 var4\n1 1.000000 7 3 1\n2 3.333333 7 3 1\n3 3.333333 8 6 2\n4 4.000000 3 6 8\n5 5.000000 2 8 9\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u521d\u306e\u5217\u306e\u5e73\u5747\u5024\u306f<strong>3.333<\/strong>\u3060\u3063\u305f\u306e\u3067\u3001\u6700\u521d\u306e\u5217\u306e\u6b20\u640d\u5024\u306f<strong>3.333<\/strong>\u306b\u7f6e\u304d\u63db\u3048\u3089\u308c\u307e\u3057\u305f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404\u5217\u306e\u6b20\u640d\u5024\u3092\u72ec\u81ea\u306e\u5217\u306e\u5e73\u5747\u306b\u7f6e\u304d\u63db\u3048\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.frame(var1=c(1, NA, NA, 4, 5),\n                 var2=c(7, 7, 8, NA, 2),\n                 var3=c(NA, 3, 6, NA, 8),\n                 var4=c(1, 1, 2, 8, 9))\n\n<span style=\"color: #008080;\">#replace missing values in each column with column means<\/span>\nfor(i in 1: <span style=\"color: #3366ff;\">ncol<\/span> (df)) {\n  df[ , i][ <span style=\"color: #3366ff;\">is.na<\/span> (df[ , i])] &lt;- mean(df[ , i], <span style=\"color: #3366ff;\">na.rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n}\n\n<span style=\"color: #008080;\">#view data frame with missing values replaced<\/span>\ndf\n\n      var1 var2 var3 var4\n1 1.000000 7 5.666667 1\n2 3.333333 7 3.000000 1\n3 3.333333 8 6.000000 2\n4 4.000000 6 5.666667 8\n5 5.000000 2 8.000000 9<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: \u6b20\u640d\u5024\u3092\u5217\u306e\u4e2d\u592e\u5024\u3067\u7f6e\u304d\u63db\u3048\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u6700\u521d\u306e\u5217\u306e\u6b20\u640d\u5024\u3092\u6700\u521d\u306e\u5217\u306e\u4e2d\u592e\u5024\u3067\u7f6e\u304d\u63db\u3048\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.frame(var1=c(1, NA, NA, 4, 5),\n                 var2=c(7, 7, 8, NA, 2),\n                 var3=c(NA, 3, 6, NA, 8),\n                 var4=c(1, 1, 2, 8, 9))\n\n<span style=\"color: #008080;\">#replace missing values in first column with median of first column<\/span>\ndf$var1[ <span style=\"color: #3366ff;\">is.na<\/span> (df$var1)] &lt;- median(df$var1, <span style=\"color: #3366ff;\">na.rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n\n<span style=\"color: #008080;\">#view data frame with missing values replaced<\/span>\ndf\n\n  var1 var2 var3 var4\n1 1 7 NA 1\n2 4 7 3 1\n3 4 8 6 2\n4 4 NA NA 8\n5 5 2 8 9\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u521d\u306e\u5217\u306e\u4e2d\u592e\u5024\u306f<strong>4<\/strong>\u3067\u3042\u3063\u305f\u305f\u3081\u3001\u6700\u521d\u306e\u5217\u306e\u6b20\u640d\u5024\u306f<strong>4<\/strong>\u306b\u7f6e\u304d\u63db\u3048\u3089\u308c\u307e\u3057\u305f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u5404\u5217\u306e\u6b20\u640d\u5024\u3092\u305d\u306e\u5217\u306e\u4e2d\u592e\u5024\u3067\u7f6e\u304d\u63db\u3048\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.frame(var1=c(1, NA, NA, 4, 5),\n                 var2=c(7, 7, 8, NA, 2),\n                 var3=c(NA, 3, 6, NA, 8),\n                 var4=c(1, 1, 2, 8, 9))\n\n<span style=\"color: #008080;\">#replace missing values in each column with column medians<\/span>\nfor(i in 1: <span style=\"color: #3366ff;\">ncol<\/span> (df)) {\n  df[ , i][ <span style=\"color: #3366ff;\">is.na<\/span> (df[ , i])] &lt;- median(df[ , i], <span style=\"color: #3366ff;\">na.rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n}\n\n<span style=\"color: #008080;\">#view data frame with missing values replaced<\/span>\ndf\n\n  var1 var2 var3 var4\n1 1 7 6 1\n2 4 7 3 1\n3 4 8 6 2\n4 4 7 6 8\n5 5 2 8 9<\/strong><\/pre>\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-\u306e\u8907\u6570\u306e\u5217\u306e\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u3067\u8907\u6570\u306e\u5217\u306e\u5e73\u5747\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u306b\u7279\u5b9a\u306e\u5217\u3092\u8ffd\u52a0\u3059\u308b\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u3067\u7279\u5b9a\u306e\u5217\u3092\u5408\u8a08\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u591a\u304f\u306e\u5834\u5408\u3001R \u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u306e\u5217\u306e\u6b20\u640d\u5024\u3092\u3001\u305d\u306e\u7279\u5b9a\u306e\u5217\u306e\u5e73\u5747\u5024\u307e\u305f\u306f\u4e2d\u592e\u5024\u3067\u7f6e\u304d\u63db\u3048\u305f\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002 \u5358\u4e00\u5217\u306e\u6b20\u640d\u5024\u3092\u7f6e\u63db\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002 df$col[ is.na (df$col)] &#038; [&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-1091","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\u6b20\u640d\u5024\u3092\u4ee3\u5165\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d) - Statology<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u6b20\u640d\u5024\u3092\u4ee3\u5165\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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