{"id":1597,"date":"2023-07-25T17:06:19","date_gmt":"2023-07-25T17:06:19","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bf%d0%be%d0%b1%d1%83%d0%b4%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d0%be%d0%b2%d0%b0%d0%bd%d1%96-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%bd%d1%8f-%d0%b2-r\/"},"modified":"2023-07-25T17:06:19","modified_gmt":"2023-07-25T17:06:19","slug":"%d0%bf%d0%be%d0%b1%d1%83%d0%b4%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d0%be%d0%b2%d0%b0%d0%bd%d1%96-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%bd%d1%8f-%d0%b2-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bf%d0%be%d0%b1%d1%83%d0%b4%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d0%bf%d1%80%d0%be%d0%b3%d0%bd%d0%be%d0%b7%d0%be%d0%b2%d0%b0%d0%bd%d1%96-%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%bd%d1%8f-%d0%b2-r\/","title":{"rendered":"\u042f\u043a \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\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;\">\u0427\u0430\u0441\u0442\u043e \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u043e\u0457 \u043c\u043e\u0434\u0435\u043b\u0456 \u0432 R, \u0449\u043e\u0431 \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0443\u0432\u0430\u0442\u0438 \u0432\u0456\u0434\u043c\u0456\u043d\u043d\u043e\u0441\u0442\u0456 \u043c\u0456\u0436 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438 \u0442\u0430 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0442\u0430\u043a\u043e\u0433\u043e \u0442\u0438\u043f\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0432 R \u0456 ggplot2.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043f\u043e\u0431\u0443\u0434\u043e\u0432\u0430 \u0433\u0440\u0430\u0444\u0456\u043a\u0430 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0456 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0432 \u043e\u0441\u043d\u043e\u0432\u0456 R<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u043f\u0456\u0434\u0456\u0433\u043d\u0430\u0442\u0438 <a href=\"https:\/\/statorials.org\/uk\/\u043c\u043d\u043e\u0436\u0438\u043d\u043d\u0430-\u043b\u0456\u043d\u0456\u0438\u043d\u0430-\u0440\u0435\u0433\u0440\u0435\u0441\u0456\u044f\/\" target=\"_blank\" rel=\"noopener\">\u043c\u043e\u0434\u0435\u043b\u044c \u043c\u043d\u043e\u0436\u0438\u043d\u043d\u043e\u0457 \u043b\u0456\u043d\u0456\u0439\u043d\u043e\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457<\/a> \u0432 R, \u0430 \u043f\u043e\u0442\u0456\u043c \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0433\u0440\u0430\u0444\u0456\u043a \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0456 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x1=c(3, 4, 4, 5, 5, 6, 7, 8, 11, 12),\n                 x2=c(6, 6, 7, 7, 8, 9, 11, 13, 14, 14),\n                 y=c(22, 24, 24, 25, 25, 27, 29, 31, 32, 36))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(y ~ x1 + x2, data=df)\n\n<span style=\"color: #008080;\">#plot predicted vs. actual values\n<\/span>plot(x=predict(model), y=df$y,\n     xlab=' <span style=\"color: #ff0000;\">Predicted Values<\/span> ',\n     ylab=' <span style=\"color: #ff0000;\">Actual Values<\/span> ',\n     main=' <span style=\"color: #ff0000;\">Predicted vs. Actual Values<\/span> ')\n\n<span style=\"color: #008080;\">#add diagonal line for estimated regression line\n<\/span>abline(a= <span style=\"color: #008000;\">0<\/span> , b= <span style=\"color: #008000;\">1<\/span> )\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15912 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/preditr1.png\" alt=\"\u041f\u043e\u0431\u0443\u0434\u043e\u0432\u0430 \u0433\u0440\u0430\u0444\u0456\u043a\u0430 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0432 R\" width=\"444\" height=\"439\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430 \u043e\u0441\u0456 \u0425 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0442\u044c\u0441\u044f \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437 \u043c\u043e\u0434\u0435\u043b\u0456, \u0430 \u043d\u0430 \u043e\u0441\u0456 Y \u2013 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437 \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445. \u0414\u0456\u0430\u0433\u043e\u043d\u0430\u043b\u044c\u043d\u0430 \u043b\u0456\u043d\u0456\u044f \u043f\u043e\u0441\u0435\u0440\u0435\u0434\u0438\u043d\u0456 \u0433\u0440\u0430\u0444\u0456\u043a\u0430 \u0454 \u0440\u043e\u0437\u0440\u0430\u0445\u0443\u043d\u043a\u043e\u0432\u043e\u044e \u043b\u0456\u043d\u0456\u0454\u044e \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u043a\u0456\u043b\u044c\u043a\u0438 \u043a\u043e\u0436\u043d\u0430 \u0437 \u0442\u043e\u0447\u043e\u043a \u0434\u0430\u043d\u0438\u0445 \u043b\u0435\u0436\u0438\u0442\u044c \u0434\u043e\u0441\u0438\u0442\u044c \u0431\u043b\u0438\u0437\u044c\u043a\u043e \u0434\u043e \u0440\u043e\u0437\u0440\u0430\u0445\u0443\u043d\u043a\u043e\u0432\u043e\u0457 \u043b\u0456\u043d\u0456\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457, \u0446\u0435 \u0433\u043e\u0432\u043e\u0440\u0438\u0442\u044c \u043d\u0430\u043c \u043f\u0440\u043e \u0442\u0435, \u0449\u043e \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u0430 \u043c\u043e\u0434\u0435\u043b\u044c \u0434\u043e\u0441\u0438\u0442\u044c \u0434\u043e\u0431\u0440\u0435 \u0441\u043f\u0440\u0430\u0432\u043b\u044f\u0454\u0442\u044c\u0441\u044f \u0437 \u043f\u0456\u0434\u0433\u043e\u043d\u043a\u043e\u044e \u0434\u0430\u043d\u0438\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u0438\u0445, \u044f\u043a\u0438\u0439 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0456 \u0442\u0430 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0457 \u0442\u043e\u0447\u043a\u0438 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame of actual and predicted values<\/span>\nvalues &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (actual=df$y, predicted=predict(model))\n\n<span style=\"color: #008080;\">#view data frame<\/span>\nvalues\n\n   actual predicted\n1 22 22.54878\n2 24 23.56707\n3 24 23.96341\n4 25 24.98171\n5 25 25.37805\n6 27 26.79268\n7 29 28.60366\n8 31 30.41463\n9 32 33.86585\n10 36 34.88415\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u041f\u043e\u0431\u0443\u0434\u043e\u0432\u0430 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0456 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0443 ggplot2<\/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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0433\u0440\u0430\u0444\u0456\u043a \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0456 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043f\u0430\u043a\u0435\u0442\u0430 \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0430\u0446\u0456\u0457 \u0434\u0430\u043d\u0438\u0445 <a href=\"https:\/\/ggplot2.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a> :<\/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> (ggplot2) \n<\/span>\n#create data<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x1=c(3, 4, 4, 5, 5, 6, 7, 8, 11, 12),\n                 x2=c(6, 6, 7, 7, 8, 9, 11, 13, 14, 14),\n                 y=c(22, 24, 24, 25, 25, 27, 29, 31, 32, 36))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(y ~ x1 + x2, data=df)\n\n<span style=\"color: #008080;\">#plot predicted vs. actual values\n<\/span>ggplot(df, <span style=\"color: #3366ff;\">aes<\/span> (x=predict(model), y=y)) + \n  geom_point() +\n  geom_abline(intercept= <span style=\"color: #008000;\">0<\/span> , slope= <span style=\"color: #008000;\">1<\/span> ) +\n  labs(x=' <span style=\"color: #ff0000;\">Predicted Values<\/span> ', y=' <span style=\"color: #ff0000;\">Actual Values<\/span> ', title=' <span style=\"color: #ff0000;\">Predicted vs. Actual Values<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-15915 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/preditr2.png\" alt=\"\" width=\"432\" height=\"436\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u043d\u043e\u0432\u0443 \u0436 \u0442\u0430\u043a\u0438, \u0432\u0456\u0441\u044c X \u043f\u043e\u043a\u0430\u0437\u0443\u0454 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437 \u043c\u043e\u0434\u0435\u043b\u0456, \u0430 \u0432\u0456\u0441\u044c Y \u043f\u043e\u043a\u0430\u0437\u0443\u0454 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437 \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445.<\/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><a href=\"https:\/\/statorials.org\/uk\/\u0437\u0430\u043b\u0438\u0448\u043a\u043e\u0432\u0438\u0438-\u0441\u043b\u0456\u0434-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u043b\u044f\u043d\u043a\u0443 \u0437\u0430\u043b\u0438\u0448\u043a\u0456\u0432 \u0443 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0433\u0456\u0441\u0442\u043e\u0433\u0440\u0430\u043c\u0430-\u0437\u0430\u043b\u0438\u0448\u043a\u0456\u0432-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0433\u0456\u0441\u0442\u043e\u0433\u0440\u0430\u043c\u0443 \u0437\u0430\u043b\u0438\u0448\u043a\u0456\u0432 \u0443 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0437\u0430\u043b\u0438\u0448\u043a\u0438,-\u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0438\u0437\u043e\u0432\u0430\u043d\u0456-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0438\u0437\u043e\u0432\u0430\u043d\u0456 \u0437\u0430\u043b\u0438\u0448\u043a\u0438 \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0427\u0430\u0441\u0442\u043e \u0432\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0439\u043d\u043e\u0457 \u043c\u043e\u0434\u0435\u043b\u0456 \u0432 R, \u0449\u043e\u0431 \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0443\u0432\u0430\u0442\u0438 \u0432\u0456\u0434\u043c\u0456\u043d\u043d\u043e\u0441\u0442\u0456 \u043c\u0456\u0436 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438 \u0442\u0430 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438. \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0442\u0430\u043a\u043e\u0433\u043e \u0442\u0438\u043f\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0432 R \u0456 ggplot2. \u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043f\u043e\u0431\u0443\u0434\u043e\u0432\u0430 \u0433\u0440\u0430\u0444\u0456\u043a\u0430 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0456 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0432 \u043e\u0441\u043d\u043e\u0432\u0456 R \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u043f\u0456\u0434\u0456\u0433\u043d\u0430\u0442\u0438 \u043c\u043e\u0434\u0435\u043b\u044c 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