{"id":477,"date":"2023-07-29T18:32:36","date_gmt":"2023-07-29T18:32:36","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%bb%d1%8c%d0%be%d0%b4%d1%8f%d0%bd%d0%b8%d0%ba-r-%d0%b3%d1%80%d0%b0%d1%84%d1%96%d0%ba%d0%b0\/"},"modified":"2023-07-29T18:32:36","modified_gmt":"2023-07-29T18:32:36","slug":"%d0%bb%d1%8c%d0%be%d0%b4%d1%8f%d0%bd%d0%b8%d0%ba-r-%d0%b3%d1%80%d0%b0%d1%84%d1%96%d0%ba%d0%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%bb%d1%8c%d0%be%d0%b4%d1%8f%d0%bd%d0%b8%d0%ba-r-%d0%b3%d1%80%d0%b0%d1%84%d1%96%d0%ba%d0%b0\/","title":{"rendered":"\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 lollipop \u0443 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u041f\u043e\u0434\u0456\u0431\u043d\u043e \u0434\u043e \u0433\u0456\u0441\u0442\u043e\u0433\u0440\u0430\u043c\u0438, <strong>\u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430<\/strong> \u043a\u043e\u0440\u0438\u0441\u043d\u0430 \u0434\u043b\u044f \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u043d\u043d\u044f \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u043a\u0430\u0442\u0435\u0433\u043e\u0440\u0456\u0430\u043b\u044c\u043d\u043e\u0457 \u0437\u043c\u0456\u043d\u043d\u043e\u0457. \u0417\u0430\u043c\u0456\u0441\u0442\u044c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0447\u0438\u043a\u0456\u0432 \u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456-\u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u0443 \u0434\u043b\u044f \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044f \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0442\u044c\u0441\u044f \u043b\u0456\u043d\u0456\u0457 \u0437 \u043a\u043e\u043b\u0430\u043c\u0438 \u043d\u0430 \u043a\u0456\u043d\u0446\u0456.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430 \u2014 \u0446\u0435 \u0447\u0443\u0434\u043e\u0432\u0438\u0439 \u0441\u043f\u043e\u0441\u0456\u0431 \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043a\u0430\u0442\u0435\u0433\u043e\u0440\u0456\u0439, \u0437\u0432\u043e\u0434\u044f\u0447\u0438 \u0434\u043e \u043c\u0456\u043d\u0456\u043c\u0443\u043c\u0443 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043a\u043e\u043b\u044c\u043e\u0440\u0456\u0432 \u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456 \u0442\u0430 \u0437\u043e\u0441\u0435\u0440\u0435\u0434\u0436\u0443\u044e\u0447\u0438 \u0443\u0432\u0430\u0433\u0443 \u0447\u0438\u0442\u0430\u0447\u0430 \u043d\u0430 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u0445 \u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456, \u0430 \u043d\u0435 \u043d\u0430 \u043b\u0456\u043d\u0456\u044f\u0445 \u0447\u0438 \u0456\u043d\u0448\u0438\u0445 \u0433\u0440\u0430\u0444\u0456\u0447\u043d\u0438\u0445 \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0430\u0445 \u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456. \u0411\u0430\u0433\u0430\u0442\u043e \u043b\u044e\u0434\u0435\u0439 \u0442\u0430\u043a\u043e\u0436 \u0432\u0432\u0430\u0436\u0430\u044e\u0442\u044c \u0434\u043e\u0448\u043a\u0443 \u0434\u043b\u044f \u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u0456\u0432 \u0435\u0441\u0442\u0435\u0442\u0438\u0447\u043d\u043e \u043f\u0440\u0438\u0432\u0430\u0431\u043b\u0438\u0432\u043e\u044e.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0423 \u0446\u044c\u043e\u043c\u0443 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0443 \u043c\u0438 \u0440\u043e\u0437\u0433\u043b\u044f\u043d\u0435\u043c\u043e \u043a\u0440\u043e\u043a\u0438, \u043d\u0435\u043e\u0431\u0445\u0456\u0434\u043d\u0456 \u0434\u043b\u044f \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0442\u0430\u043a\u043e\u0457 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438-\u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u0430:<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430 Lollipop \u043c\u043e\u0432\u043e\u044e R<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0414\u043b\u044f \u0446\u044c\u043e\u0433\u043e \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0443 \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0454\u043c\u043e \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u0439 \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445 R <strong>mtcars<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of <em>mtcars\n<\/em><\/span>head(mtcars)\n<\/strong><\/pre>\n<h3><\/h3>\n<h2> <span style=\"color: #000000;\"><strong>\u041e\u0441\u043d\u043e\u0432\u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430 \u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u0430<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u0456\u043b\u044e\u0441\u0442\u0440\u0443\u0454, \u044f\u043a \u0446\u0435 \u0437\u0440\u043e\u0431\u0438\u0442\u0438 <strong>&nbsp;<\/strong> \u0449\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0434\u043b\u044f \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u043d\u043d\u044f \u043c\u0438\u043b\u044c \u043d\u0430 <em>\u0433\u0430\u043b\u043e\u043d<\/em> (\u043c\u0438\u043b\u044c \u043d\u0430 \u0433\u0430\u043b\u043e\u043d) \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0437 32 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456\u0432 \u0443 \u043d\u0430\u0431\u043e\u0440\u0456 \u0434\u0430\u043d\u0438\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0437\u0432\u0438 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456\u0432 \u0432\u0438\u0437\u043d\u0430\u0447\u0435\u043d\u0456 \u0432 \u043d\u0430\u0437\u0432\u0430\u0445 \u0440\u044f\u0434\u043a\u0456\u0432 \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445, \u0442\u043e\u043c\u0443 \u043c\u0438 \u0441\u043f\u043e\u0447\u0430\u0442\u043a\u0443 \u0441\u0442\u0432\u043e\u0440\u044e\u0454\u043c\u043e \u043d\u043e\u0432\u0438\u0439 \u0441\u0442\u043e\u0432\u043f\u0435\u0446\u044c \u0443 \u043d\u0430\u0431\u043e\u0440\u0456 \u0434\u0430\u043d\u0438\u0445, \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0446\u0456 \u043d\u0430\u0437\u0432\u0438 \u0440\u044f\u0434\u043a\u0456\u0432.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0414\u0430\u043b\u0456 \u043c\u0438 \u0437\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0443\u0454\u043c\u043e \u0431\u0456\u0431\u043b\u0456\u043e\u0442\u0435\u043a\u0443 <strong>ggplot2<\/strong> , \u044f\u043a\u0443 \u0431\u0443\u0434\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0434\u043b\u044f \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438-\u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u0430.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417 ggplot2 \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454\u043c\u043e <strong>geom_segment<\/strong> \u0434\u043b\u044f \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u043b\u0456\u043d\u0456\u0439 \u043d\u0430 \u0433\u0440\u0430\u0444\u0456\u043a\u0443. \u041c\u0438 \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u044e\u0454\u043c\u043e \u043f\u043e\u0447\u0430\u0442\u043a\u043e\u0432\u0456 \u0442\u0430 \u043a\u0456\u043d\u0446\u0435\u0432\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f x \u044f\u043a <em>0<\/em> \u0456 <em>mpg<\/em> \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u043e. \u041c\u0438 \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u044e\u0454\u043c\u043e \u043f\u043e\u0447\u0430\u0442\u043a\u043e\u0432\u0456 \u0442\u0430 \u043a\u0456\u043d\u0446\u0435\u0432\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f y \u044f\u043a <em>char<\/em> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create new column for car names<\/span>\nmtcars$car &lt;- row.names(mtcars)\n\n<span style=\"color: #008080;\">#load <em>ggplot2<\/em> library<\/span>\nlibrary(ggplot2)\n\n<span style=\"color: #008080;\">#create lollipop chart<\/span>\nggplot(mtcars, aes(x = mpg, y = car)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043c\u0456\u0442\u043e\u043a<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0434\u043e\u0434\u0430\u0442\u0438 \u043c\u0456\u0442\u043a\u0438 \u0434\u043e \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0456\u0432 <strong>label<\/strong> \u0456 <strong>geom_text<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars, aes(x = mpg, y = car, <span style=\"color: #800080;\">label = mpg<\/span> )) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point() <span style=\"color: #800080;\">+\n        geom_text(nudge_x = 1.5)<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0410\u0431\u043e \u0437\u0430\u043c\u0456\u0441\u0442\u044c \u0442\u043e\u0433\u043e, \u0449\u043e\u0431 \u0440\u043e\u0437\u043c\u0456\u0449\u0443\u0432\u0430\u0442\u0438 \u043c\u0456\u0442\u043a\u0438 \u0432 \u043a\u0456\u043d\u0446\u0456 \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430, \u043c\u0438 \u043c\u043e\u0433\u043b\u0438 \u0431 \u0440\u043e\u0437\u043c\u0456\u0441\u0442\u0438\u0442\u0438 \u0457\u0445 \u0443\u0441\u0435\u0440\u0435\u0434\u0438\u043d\u0456 \u0441\u0430\u043c\u0438\u0445 \u043a\u0456\u043b, \u0437\u0440\u043e\u0431\u0438\u0432\u0448\u0438 \u043a\u043e\u043b\u0430 \u0431\u0456\u043b\u044c\u0448\u0438\u043c\u0438 \u0442\u0430 \u0437\u043c\u0456\u043d\u0438\u0432\u0448\u0438 \u043a\u043e\u043b\u0456\u0440 \u0448\u0440\u0438\u0444\u0442\u0443 \u043c\u0456\u0442\u043a\u0438 \u043d\u0430 \u0431\u0456\u043b\u0438\u0439:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars, aes(x = mpg, y = car, label = mpg)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point( <span style=\"color: #800080;\">size = 7<\/span> ) +\n        geom_text( <span style=\"color: #800080;\">color = 'white', size = 2<\/span> )<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u043e\u0440\u0456\u0432\u043d\u044f\u0439\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0456\u0437 \u0441\u0435\u0440\u0435\u0434\u043d\u0456\u043c<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443, \u0449\u043e\u0431 \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437 \u043f\u0435\u0432\u043d\u0438\u043c \u0447\u0438\u0441\u043b\u043e\u043c. \u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0437\u043d\u0430\u0439\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f <em>\u043c\u0438\u043b\u044c \u043d\u0430<\/em> <em>\u0433\u0430\u043b\u043e\u043d<\/em> \u0443 \u043d\u0430\u0431\u043e\u0440\u0456 \u0434\u0430\u043d\u0438\u0445, \u0430 \u043f\u043e\u0442\u0456\u043c \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u044c \u0456\u0437 \u0441\u0435\u0440\u0435\u0434\u043d\u0456\u043c.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0431\u0456\u0431\u043b\u0456\u043e\u0442\u0435\u043a\u0443 <strong>dplyr<\/strong> , \u0449\u043e\u0431 \u0437\u043d\u0430\u0439\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f <em>\u043c\u0438\u043b\u044c \u043d\u0430 \u0433\u0430\u043b\u043e\u043d<\/em> , \u0430 \u043f\u043e\u0442\u0456\u043c \u0443\u043f\u043e\u0440\u044f\u0434\u043a\u0443\u0432\u0430\u0442\u0438 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456 \u0432 \u043f\u043e\u0440\u044f\u0434\u043a\u0443 \u0437\u0440\u043e\u0441\u0442\u0430\u043d\u043d\u044f <em>\u043c\u0438\u043b\u044c \u043d\u0430 \u0433\u0430\u043b\u043e\u043d<\/em> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load library <em>dplyr\n<\/em><\/span>library(dplyr)\n\n<span style=\"color: #008080;\">#find mean value of <em>mpg<\/em> and arrange cars in order <em>by mpg<\/em> descending<\/span>\nmtcars_new &lt;- mtcars %&gt;%\n                arrange(mpg) %&gt;%\n                mutate(mean_mpg = mean(mpg),\n                       flag = ifelse(mpg - mean_mpg &gt; 0, TRUE, FALSE),\n                       car = factor(car, levels = .$car))\n\n<span style=\"color: #008080;\">#view first six rows of <em>mtcars_new\n<\/em><span style=\"color: #000000;\">head(mtcars_new)\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041f\u043e\u0442\u0456\u043c \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u0441\u0442\u0432\u043e\u0440\u044e\u0454 \u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443, \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u044e\u044e\u0447\u0438 \u043a\u043e\u043b\u0456\u0440 \u043a\u043e\u043b\u0430 \u0440\u0456\u0432\u043d\u0438\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044e <em>\u043f\u0440\u0430\u043f\u043e\u0440\u0430<\/em> (\u0443 \u0446\u044c\u043e\u043c\u0443 \u0432\u0438\u043f\u0430\u0434\u043a\u0443 TRUE \u0430\u0431\u043e FALSE), \u0430 \u043f\u043e\u0447\u0430\u0442\u043a\u043e\u0432\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f x \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u044f \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 \u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u043c\u0443 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044e <em>mpg<\/em> .<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars_new, aes(x = mpg, y = car, <span style=\"color: #800080;\">color = flag<\/span> )) +\n        geom_segment(aes( <span style=\"color: #800080;\">x = mean_mpg<\/span> , y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0447\u0438 \u0446\u0435\u0439 \u0442\u0438\u043f \u043a\u043e\u043b\u0456\u0440\u043d\u043e\u0457 \u043f\u0430\u043b\u0456\u0442\u0440\u0438, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u043b\u0435\u0433\u043a\u043e \u0432\u0438\u0437\u043d\u0430\u0447\u0438\u0442\u0438, \u044f\u043a\u0456 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456 \u043c\u0430\u044e\u0442\u044c \u043c\u0435\u043d\u0448\u0435 \u0442\u0430 \u0431\u0456\u043b\u044c\u0448\u0435 <em>\u043c\u0438\u043b\u044c \u043d\u0430 \u0433\u0430\u043b\u043e\u043d<\/em> , \u043d\u0456\u0436 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430 \u0437\u0430\u043c\u043e\u0432\u0447\u0443\u0432\u0430\u043d\u043d\u044f\u043c R \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454 \u0441\u0438\u043d\u0456\u0439 \u0456 \u0447\u0435\u0440\u0432\u043e\u043d\u0438\u0439 \u044f\u043a \u043a\u043e\u043b\u044c\u043e\u0440\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438. \u041e\u0434\u043d\u0430\u043a \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0431\u0443\u0434\u044c-\u044f\u043a\u0456 \u043a\u043e\u043b\u044c\u043e\u0440\u0438, \u044f\u043a\u0456 \u0437\u0430\u0431\u0430\u0436\u0430\u0454\u043c\u043e, \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0447\u0438 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>scale_color_manual<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car)) +\n        geom_point() <span style=\"color: #800080;\">+\n        scale_color_manual(values = c(\"purple\", \"blue\"))<\/span><\/strong><\/pre>\n<h2> <strong><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0417\u043c\u0456\u043d\u0438\u0442\u0438 \u0435\u0441\u0442\u0435\u0442\u0438\u043a\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438<\/span><\/span><\/strong><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0440\u0435\u0448\u0442\u0456, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0448\u0438\u0440\u043e\u043a\u0456 \u043c\u043e\u0436\u043b\u0438\u0432\u043e\u0441\u0442\u0456 <strong>ggplot2<\/strong> \u0434\u043b\u044f \u043f\u043e\u0434\u0430\u043b\u044c\u0448\u043e\u0457 \u043c\u043e\u0434\u0438\u0444\u0456\u043a\u0430\u0446\u0456\u0457 \u0435\u0441\u0442\u0435\u0442\u0438\u043a\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0442\u0430 \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u043a\u0456\u043d\u0446\u0435\u0432\u043e\u0433\u043e \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0443 \u043f\u0440\u043e\u0444\u0435\u0441\u0456\u0439\u043d\u043e\u0433\u043e \u0432\u0438\u0433\u043b\u044f\u0434\u0443:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car), color = \"grey\") +\n        geom_point() +\n        annotate(\"text\", x = 27, y = 20, label = \"Above Average\", color = \"#00BFC4\", size = 3, hjust = -0.1, vjust = .75) +\n        annotate(\"text\", x = 27, y = 17, label = \"Below Average\", color = \"#F8766D\", size = 3, hjust = -0.1, vjust = -.1) +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 19, yend = 23),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#00BFC4\") +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 18, yend = 14),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#F8766D\") +\n        labs(title = \"Miles per Gallon by Car\") +\n        theme_minimal() +\n        theme(axis.title = element_blank(),\n              panel.grid.minor = element_blank(),\n              legend.position = \"none\",\n              text = element_text(family = \"Georgia\"),\n              axis.text.y = element_text(size = 8),\n              plot.title = element_text(size = 20, margin = margin(b = 10), hjust = 0),\n              plot.subtitle = element_text(size = 12, color = \"darkslategrey\", margin = margin(b = 25, l = -25)),\n              plot.caption = element_text(size = 8, margin = margin(t = 10), color = \"grey70\", hjust = 0))<\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u041f\u043e\u0434\u0456\u0431\u043d\u043e \u0434\u043e \u0433\u0456\u0441\u0442\u043e\u0433\u0440\u0430\u043c\u0438, \u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430 \u043a\u043e\u0440\u0438\u0441\u043d\u0430 \u0434\u043b\u044f \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u043d\u043d\u044f \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u043a\u0430\u0442\u0435\u0433\u043e\u0440\u0456\u0430\u043b\u044c\u043d\u043e\u0457 \u0437\u043c\u0456\u043d\u043d\u043e\u0457. \u0417\u0430\u043c\u0456\u0441\u0442\u044c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0441\u0442\u043e\u0432\u043f\u0447\u0438\u043a\u0456\u0432 \u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456-\u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u0443 \u0434\u043b\u044f \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044f \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0442\u044c\u0441\u044f \u043b\u0456\u043d\u0456\u0457 \u0437 \u043a\u043e\u043b\u0430\u043c\u0438 \u043d\u0430 \u043a\u0456\u043d\u0446\u0456. \u041b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430 \u2014 \u0446\u0435 \u0447\u0443\u0434\u043e\u0432\u0438\u0439 \u0441\u043f\u043e\u0441\u0456\u0431 \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043a\u0430\u0442\u0435\u0433\u043e\u0440\u0456\u0439, \u0437\u0432\u043e\u0434\u044f\u0447\u0438 \u0434\u043e \u043c\u0456\u043d\u0456\u043c\u0443\u043c\u0443 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043a\u043e\u043b\u044c\u043e\u0440\u0456\u0432 \u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456 \u0442\u0430 \u0437\u043e\u0441\u0435\u0440\u0435\u0434\u0436\u0443\u044e\u0447\u0438 \u0443\u0432\u0430\u0433\u0443 \u0447\u0438\u0442\u0430\u0447\u0430 \u043d\u0430 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u0445 \u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456, \u0430 \u043d\u0435 \u043d\u0430 [&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 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043b\u044c\u043e\u0434\u044f\u043d\u0438\u043a\u043e\u0432\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0432 R - Statorials<\/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 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