{"id":2473,"date":"2023-07-22T02:52:07","date_gmt":"2023-07-22T02:52:07","guid":{"rendered":"https:\/\/statorials.org\/ru\/r-%d0%b8%d0%bd%d1%82%d0%b5%d1%80%d0%bf%d0%be%d0%bb%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d1%82%d1%8c-%d0%bd%d0%b5%d0%b4%d0%be%d1%81%d1%82%d0%b0%d1%8e%d1%89%d0%b8%d0%b5-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd\/"},"modified":"2023-07-22T02:52:07","modified_gmt":"2023-07-22T02:52:07","slug":"r-%d0%b8%d0%bd%d1%82%d0%b5%d1%80%d0%bf%d0%be%d0%bb%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d1%82%d1%8c-%d0%bd%d0%b5%d0%b4%d0%be%d1%81%d1%82%d0%b0%d1%8e%d1%89%d0%b8%d0%b5-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/r-%d0%b8%d0%bd%d1%82%d0%b5%d1%80%d0%bf%d0%be%d0%bb%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d1%82%d1%8c-%d0%bd%d0%b5%d0%b4%d0%be%d1%81%d1%82%d0%b0%d1%8e%d1%89%d0%b8%d0%b5-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd\/","title":{"rendered":"\u041a\u0430\u043a \u0438\u043d\u0442\u0435\u0440\u043f\u043e\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 r (\u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u0438\u043d\u0442\u0435\u0440\u043f\u043e\u043b\u044f\u0446\u0438\u0438 \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n<span style=\"color: #008000;\">library<\/span> (zoo)\n\ndf &lt;- df %&gt;%\n        mutate(column_name = na. <span style=\"color: #3366ff;\">approx<\/span> (column_name))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440: \u0438\u043d\u0442\u0435\u0440\u043f\u043e\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043e\u0431\u0449\u0438\u0439 \u043e\u0431\u044a\u0435\u043c \u043f\u0440\u043e\u0434\u0430\u0436, \u0441\u043e\u0432\u0435\u0440\u0448\u0435\u043d\u043d\u044b\u0439 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u043e\u043c \u0437\u0430 15 \u0434\u043d\u0435\u0439 \u043f\u043e\u0434\u0440\u044f\u0434:<\/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> (day=1:15,\n                 sales=c(3, 6, 8, 10, 14, 17, 20, NA, NA, NA, NA, 35, 39, 44, 49))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n   day sales\n1 1 3\n2 2 6\n3 3 8\n4 4 10\n5 5 14\n6 6 17\n7 7 20\n8 8 NA\n9 9 NA\n10 10 NA\n11 11 NA\n12 12 35\n13 13 39\n14 14 44\n15 15 49\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0442 \u0434\u0430\u043d\u043d\u044b\u0435 \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445 \u0437\u0430 \u0447\u0435\u0442\u044b\u0440\u0435 \u0434\u043d\u044f.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u0431\u044b \u043c\u044b \u0441\u043e\u0437\u0434\u0430\u043b\u0438 \u043f\u0440\u043e\u0441\u0442\u0443\u044e \u043b\u0438\u043d\u0435\u0439\u043d\u0443\u044e \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0443 \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043f\u0440\u043e\u0434\u0430\u0436 \u0441 \u0442\u0435\u0447\u0435\u043d\u0438\u0435\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438, \u043e\u043d\u0430 \u0431\u044b \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u043b\u0430 \u0432\u043e\u0442 \u0442\u0430\u043a:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create line chart to visualize sales\n<\/span>plot(df$sales, type=' <span style=\"color: #ff0000;\">o<\/span> ', pch= <span style=\"color: #008000;\">16<\/span> , col=' <span style=\"color: #ff0000;\">steelblue<\/span> ', xlab=' <span style=\"color: #ff0000;\">Day<\/span> ', ylab=' <span style=\"color: #ff0000;\">Sales<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-22138\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/imputer1.png\" alt=\"\u0438\u043d\u0442\u0435\u0440\u043f\u043e\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043d\u0435\u0434\u043e\u0441\u0442\u0430\u044e\u0449\u0438\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 R\" width=\"546\" height=\"388\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u0427\u0442\u043e\u0431\u044b \u0437\u0430\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e <a href=\"https:\/\/www.rdocumentation.org\/packages\/zoo\/versions\/1.8-9\/topics\/na.approx\" target=\"_blank\" rel=\"noopener\">na.approx()<\/a> \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 <strong>Zoo<\/strong> , \u0430 \u0442\u0430\u043a\u0436\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u044e <a href=\"https:\/\/dplyr.tidyverse.org\/reference\/mutate.html\" target=\"_blank\" rel=\"noopener\">mutate()<\/a> \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 <strong>dplyr<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n<span style=\"color: #008000;\">library<\/span> (zoo)\n\n<span style=\"color: #008080;\">#interpolate missing values in 'sales' column\n<\/span>df &lt;- df %&gt;%\n        mutate(sales = na. <span style=\"color: #3366ff;\">approx<\/span> (sales))\n\n<span style=\"color: #008080;\">#view updated data frame<\/span>\ndf\n\n   day sales\n1 1 3\n2 2 6\n3 3 8\n4 4 10\n5 5 14\n6 6 17\n7 7 20\n8 8 23\n9 9 26\n10 10 29\n11 11 32\n12 12 35\n13 13 39\n14 14 44\n15 15 49\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043a\u0430\u0436\u0434\u043e\u0435 \u0438\u0437 \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0437\u0430\u043c\u0435\u043d\u0435\u043d\u043e.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u043c\u044b \u0441\u043e\u0437\u0434\u0430\u0434\u0438\u043c \u0435\u0449\u0435 \u043e\u0434\u043d\u0443 \u043b\u0438\u043d\u0435\u0439\u043d\u0443\u044e \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0443 \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445, \u043e\u043d\u0430 \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u0432\u043e\u0442 \u0442\u0430\u043a:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create line chart to visualize sales\n<\/span>plot(df$sales, type=' <span style=\"color: #ff0000;\">o<\/span> ', pch= <span style=\"color: #008000;\">16<\/span> , col=' <span style=\"color: #ff0000;\">steelblue<\/span> ', xlab=' <span style=\"color: #ff0000;\">Day<\/span> ', ylab=' <span style=\"color: #ff0000;\">Sales<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-22139 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/imputer2.png\" alt=\"\" width=\"542\" height=\"383\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0432\u044b\u0431\u0440\u0430\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0435\u0439 <strong>na.approx(),<\/strong> \u043f\u043e\u0445\u043e\u0436\u0435, \u0434\u043e\u0432\u043e\u043b\u044c\u043d\u043e \u0445\u043e\u0440\u043e\u0448\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0442 \u0442\u0435\u043d\u0434\u0435\u043d\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0442\u043e\u043c, \u043a\u0430\u043a \u043e\u0431\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043d\u0430\u0438\u0442\u0438-\u043d\u0435\u0434\u043e\u0441\u0442\u0430\u044e\u0449\u0438\u0435-\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u043d\u0430\u0439\u0442\u0438 \u0438 \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u0432\u043c\u0435\u043d\u0438\u0442\u044c-\u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435-\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0432\u0441\u0435 \u0432\u043c\u0435\u043d\u0438\u0442\u044c \u043f\u0440\u043e\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u044d\u0442\u043e-\u043d\u0435\u0442\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e is.na \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u0438\u043d\u0442\u0435\u0440\u043f\u043e\u043b\u044f\u0446\u0438\u0438 \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R: library (dplyr) library (zoo) df &lt;- df %&gt;% mutate(column_name = na. approx (column_name)) \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435. \u041f\u0440\u0438\u043c\u0435\u0440: \u0438\u043d\u0442\u0435\u0440\u043f\u043e\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 R \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 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