{"id":3052,"date":"2023-07-19T10:33:55","date_gmt":"2023-07-19T10:33:55","guid":{"rendered":"https:\/\/statorials.org\/uk\/r-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d0%b5%d1%86%d1%8c-%d1%81%d0%b5%d1%80%d0%b5%d0%b4%d0%bd%d1%94\/"},"modified":"2023-07-19T10:33:55","modified_gmt":"2023-07-19T10:33:55","slug":"r-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d0%b5%d1%86%d1%8c-%d1%81%d0%b5%d1%80%d0%b5%d0%b4%d0%bd%d1%94","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/r-%d1%81%d1%82%d0%be%d0%b2%d0%bf%d0%b5%d1%86%d1%8c-%d1%81%d0%b5%d1%80%d0%b5%d0%b4%d0%bd%d1%94\/","title":{"rendered":"\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 r (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0439 \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#calculate mean using column name<\/span>\nmean(df$my_column)\n\n<span style=\"color: #008080;\">#calculate mean using column name (ignore missing values)\n<\/span>mean(df$my_column, na. <span style=\"color: #3366ff;\">rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n\n<span style=\"color: #008080;\">#calculate mean using column position<\/span>\nmean(df[, 1])\n\n<span style=\"color: #008080;\">#calculation mean of all numeric columns\n<\/span>colMeans(df[sapply(df, is. <span style=\"color: #3366ff;\">numeric<\/span> )])\n<\/b><\/pre>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u0445 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u043c\u0435\u0442\u043e\u0434 \u0456\u0437 \u0442\u0430\u043a\u0438\u043c \u043a\u0430\u0434\u0440\u043e\u043c \u0434\u0430\u043d\u0438\u0445 \u0443 R:<\/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', 'A', 'B', 'B', 'B'),\n                 points=c(99, 90, 93, 86, 88, 82),\n                 assists=c(33, 28, 31, 39, NA, 30))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  team points assists\n1 A 99 33\n2 A 90 28\n3 A 93 31\n4 B 86 39\n5 B 88 NA\n6 B 82 30\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437\u0430 \u043d\u0430\u0437\u0432\u043e\u044e \u0441\u0442\u043e\u0432\u043f\u0446\u044f<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u043e\u043c\u0443 \u043d\u0438\u0436\u0447\u0435 \u043a\u043e\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u00ab\u0431\u0430\u043b\u0438\u00bb \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0456\u043c\u0435\u043d\u0456 \u0441\u0442\u043e\u0432\u043f\u0446\u044f:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mean of 'points' column\n<span style=\"color: #000000;\">mean(df$points)\n\n[1] 89.66667<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u043a\u043e\u043b\u043e\u043d\u0446\u0456 \u00ab\u0431\u0430\u043b\u0438\u00bb \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c <strong>89,66667<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043d\u0430\u0437\u0432\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u044f (\u0456\u0433\u043d\u043e\u0440\u0443\u0439\u0442\u0435 \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f)<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u042f\u043a\u0449\u043e \u043c\u0438 \u0441\u043f\u0440\u043e\u0431\u0443\u0454\u043c\u043e \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0434\u043b\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f, \u0449\u043e \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u043c\u0438 \u043e\u0442\u0440\u0438\u043c\u0430\u0454\u043c\u043e <strong>NA<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#attempt to calculate mean of 'assists' column\n<span style=\"color: #000000;\">mean(df$assists)\n\n[1] NA<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u041d\u0430\u043c \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 <strong>na.rm=TRUE<\/strong> , \u0449\u043e\u0431 \u0456\u0433\u043d\u043e\u0440\u0443\u0432\u0430\u0442\u0438 \u0432\u0456\u0434\u0441\u0443\u0442\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043f\u0456\u0434 \u0447\u0430\u0441 \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u0433\u043e \u0441\u0442\u043e\u0432\u043f\u0446\u044f:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mean of 'assists' column and ignore missing values\n<span style=\"color: #000000;\">mean(df$assists, na. <span style=\"color: #3366ff;\">rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n\n[1] 32.2<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u0433\u0440\u0430\u0444\u0456 \u00ab\u0430\u0441\u0441\u0438\u0441\u0442\u0438\u00bb \u2013 <strong>32,2<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043f\u043e\u0437\u0438\u0446\u0456\u0457 \u0441\u0442\u043e\u0432\u043f\u0446\u044f<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 \u043f\u043e\u0437\u0438\u0446\u0456\u0457 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 2:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mean of column in index position 2\n<span style=\"color: #000000;\">mean(df[, 2])\n\n[1] 89.66667<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 \u043f\u043e\u0437\u0438\u0446\u0456\u0457 \u0456\u043d\u0434\u0435\u043a\u0441\u0443 2 (\u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u00ab\u0431\u0430\u043b\u0438\u00bb) \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c <strong>89,66667<\/strong> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 4: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432\u0441\u0456\u0445 \u0447\u0438\u0441\u043b\u043e\u0432\u0438\u0445 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432\u0441\u0456\u0445 \u0447\u0438\u0441\u043b\u043e\u0432\u0438\u0445 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mean of all numeric columns\n<span style=\"color: #000000;\">colMeans(df[sapply(df, is. <span style=\"color: #3366ff;\">numeric<\/span> )], na. <span style=\"color: #3366ff;\">rm<\/span> = <span style=\"color: #008000;\">TRUE<\/span> )\n\n  assist points \n89.66667 32.20000<\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u041d\u0430 \u0432\u0438\u0445\u043e\u0434\u0456 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454\u0442\u044c\u0441\u044f \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0447\u0438\u0441\u043b\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445.<\/span><\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0456\u043d\u0448\u0456 \u0441\u0435\u0440\u0435\u0434\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 R:<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/uk\/\u0443\u0441\u0456\u0447\u0435\u043d\u0435-r-\u043e\u0437\u043d\u0430\u0447\u0430\u0454\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0437\u0440\u0456\u0437\u0430\u043d\u0435 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0441\u0435\u0440\u0435\u0434\u043d\u0454-\u0433\u0435\u043e\u043c\u0435\u0442\u0440\u0438\u0447\u043d\u0435-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0433\u0435\u043e\u043c\u0435\u0442\u0440\u0438\u0447\u043d\u0435 \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u0437\u0432\u0430\u0436\u0435\u043d\u0435-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u0437\u0432\u0430\u0436\u0435\u043d\u0443 \u0432\u0435\u043b\u0438\u0447\u0438\u043d\u0443 \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0439 \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 R: #calculate mean using column name mean(df$my_column) #calculate mean using column name (ignore missing values) mean(df$my_column, na. rm = TRUE ) #calculate mean using column position mean(df[, 1]) #calculation mean of all numeric columns colMeans(df[sapply(df, is. numeric )]) \u0423 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0446\u044f \u0432 R (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u0440\u0456\u0430\u043b\u0438<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 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