{"id":4281,"date":"2023-07-12T07:14:31","date_gmt":"2023-07-12T07:14:31","guid":{"rendered":"https:\/\/statorials.org\/uk\/geom_abline-r\/"},"modified":"2023-07-12T07:14:31","modified_gmt":"2023-07-12T07:14:31","slug":"geom_abline-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/geom_abline-r\/","title":{"rendered":"\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 geom_abline \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043f\u0440\u044f\u043c\u0438\u0445 \u043b\u0456\u043d\u0456\u0439 \u0443 ggplot2"},"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 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>geom_abline()<\/strong> \u0442\u0430 \u0456\u043d\u0448\u0456 \u043f\u043e\u0434\u0456\u0431\u043d\u0456 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>geom<\/strong> , \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043f\u0440\u044f\u043c\u0456 \u043b\u0456\u043d\u0456\u0457 \u0434\u043e \u0433\u0440\u0430\u0444\u0456\u043a\u0456\u0432 \u0443 ggplot2.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0441\u044c \u043d\u0430\u0439\u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456\u0448\u0456 \u0441\u043f\u043e\u0441\u043e\u0431\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0438\u0445 \u0444\u0443\u043d\u043a\u0446\u0456\u0439:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_abline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043b\u0456\u043d\u0456\u044e \u0437 \u043d\u0430\u0445\u0438\u043b\u043e\u043c \u0456 \u043f\u0435\u0440\u0435\u0442\u0438\u043d\u043e\u043c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>ggplot(df, aes(x, y)) +\n  geom_point() +\n  geom_abline(slope= <span style=\"color: #008000;\">3<\/span> , intercept= <span style=\"color: #008000;\">15<\/span> )\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_vline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u0443 \u043b\u0456\u043d\u0456\u044e<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>ggplot(df, aes(x=xvar, y=yvar)) +\n    geom_point() +\n    geom_vline(xintercept= <span style=\"color: #008000;\">5<\/span> )<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 3: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_hline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0433\u043e\u0440\u0438\u0437\u043e\u043d\u0442\u0430\u043b\u044c\u043d\u0443 \u043b\u0456\u043d\u0456\u044e<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>ggplot(df, aes(x=xvar, y=yvar)) +\n    geom_point() +\n    geom_hline(yintercept= <span style=\"color: #008000;\">25<\/span> )<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 4: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_smooth(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043b\u0456\u043d\u0456\u044e \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>ggplot(df, aes(x=xvar, y=yvar)) +\n    geom_point() +\n    geom_smooth(method=' <span style=\"color: #ff0000;\">lm<\/span> ')<\/strong><\/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 \u0456\u0437 \u0446\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\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<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 2, 3, 3, 5, 7, 9),\n                 y=c(8, 14, 18, 25, 29, 33, 25))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  xy\n1 1 8\n2 2 14\n3 3 18\n4 3 25\n5 5 29\n6 7 33\n7 9 25<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_abline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043b\u0456\u043d\u0456\u044e \u0437 \u043d\u0430\u0445\u0438\u043b\u043e\u043c \u0456 \u043f\u0435\u0440\u0435\u0442\u0438\u043d\u043e\u043c<\/strong><\/span><\/h2>\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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 <strong>geom_abline()<\/strong> \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043f\u0440\u044f\u043c\u043e\u0457 \u043b\u0456\u043d\u0456\u0457 \u0434\u043e \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0440\u043e\u0437\u0441\u0456\u044e\u0432\u0430\u043d\u043d\u044f \u0437 \u043d\u0430\u0445\u0438\u043b\u043e\u043c 3 \u0456 \u043e\u0440\u0434\u0438\u043d\u0430\u0442\u043e\u044e 15:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create scatterplot and add straight line with specific slope and intercept\n<\/span>ggplot(df, aes(x=x, y=y)) +\n  geom_point() +\n  geom_abline(slope= <span style=\"color: #008000;\">3<\/span> , intercept= <span style=\"color: #008000;\">15<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-33751\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom1.jpg\" alt=\"geom_abline \u0432 ggplot2\" width=\"492\" height=\"489\" srcset=\"\" sizes=\"\"><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_vline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u0443 \u043b\u0456\u043d\u0456\u044e<\/strong><\/span><\/h2>\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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 <strong>geom_vline()<\/strong> \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u043e\u0457 \u043b\u0456\u043d\u0456\u0457 \u0434\u043e \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0440\u043e\u0437\u0441\u0456\u044e\u0432\u0430\u043d\u043d\u044f \u043f\u0440\u0438 x=5:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create scatterplot and add vertical line at x=5\n<\/span>ggplot(df, aes(x=x, y=y)) +\n  geom_point() +\n  geom_vline(xintercept= <span style=\"color: #008000;\">5<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-33752\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom2.jpg\" alt=\"\u0444\u0443\u043d\u043a\u0446\u0456\u044f geom_vline \u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 R\" width=\"495\" height=\"495\" srcset=\"\" sizes=\"\"><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_hline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0433\u043e\u0440\u0438\u0437\u043e\u043d\u0442\u0430\u043b\u044c\u043d\u0443 \u043b\u0456\u043d\u0456\u044e<\/strong><\/span><\/h2>\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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 <strong>geom_hline()<\/strong> \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u0433\u043e\u0440\u0438\u0437\u043e\u043d\u0442\u0430\u043b\u044c\u043d\u043e\u0457 \u043b\u0456\u043d\u0456\u0457 \u0434\u043e \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0440\u043e\u0437\u0441\u0456\u044e\u0432\u0430\u043d\u043d\u044f \u043f\u0440\u0438 y=25:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create scatterplot and add horizontal line at y=25\n<\/span>ggplot(df, aes(x=x, y=y)) +\n  geom_point() +\n  geom_hline(yintercept= <span style=\"color: #008000;\">25<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-33753\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom3.jpg\" alt=\"\u043f\u0440\u0438\u043a\u043b\u0430\u0434 geom_hline \u0443 ggplot\" width=\"485\" height=\"489\" srcset=\"\" sizes=\"\"><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 4: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_smooth(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043b\u0456\u043d\u0456\u044e \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457<\/strong><\/span><\/h2>\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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 <strong>geom_smooth()<\/strong> \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043f\u0456\u0434\u0456\u0433\u043d\u0430\u043d\u043e\u0457 \u043b\u0456\u043d\u0456\u0457 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0434\u043e \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0440\u043e\u0437\u0441\u0456\u044e\u0432\u0430\u043d\u043d\u044f:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create scatterplot and add fitted regression line\n<\/span>ggplot(df, aes(x=x, y=y)) +\n  geom_point() +\n  geom_smooth(method=' <span style=\"color: #ff0000;\">lm<\/span> ', se= <span style=\"color: #008000;\">FALSE<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-33754\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom4.jpg\" alt=\"geom_smooth, \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043b\u0456\u043d\u0456\u044e \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 ggplot2\" width=\"488\" height=\"488\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> : \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>se=FALSE<\/strong> \u043f\u043e\u0432\u0456\u0434\u043e\u043c\u043b\u044f\u0454 ggplot2 \u043d\u0435 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0442\u0438 \u0437\u0430\u0442\u0456\u043d\u0435\u043d\u0456 \u043b\u0456\u043d\u0456\u0457 \u0434\u043b\u044f \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u0438\u0445 \u043e\u0446\u0456\u043d\u043e\u043a \u043f\u043e\u043c\u0438\u043b\u043e\u043a.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\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 \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0447\u0430\u0441\u0442\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u043d\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0432 ggplot2:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/\u0442\u043e\u0432\u0449\u0438\u043d\u0430-\u043b\u0456\u043d\u0456\u0456-ggplot\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043d\u0430\u043b\u0430\u0448\u0442\u0443\u0432\u0430\u0442\u0438 \u0442\u043e\u0432\u0449\u0438\u043d\u0443 \u043b\u0456\u043d\u0456\u0457 \u0432 ggplot2<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0432\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0438-\u043c\u0435\u0436\u0456-\u043e\u0441\u0456-ggplot2\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0438 \u043c\u0435\u0436\u0456 \u043e\u0441\u0435\u0439 \u0443 ggplot2<\/a><br \/> \u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u043b\u0456\u043d\u0456\u0457 \u0441\u0456\u0442\u043a\u0438 \u0432 ggplot2<br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043a\u043e\u043b\u0456\u0440-\u0442\u043b\u0430-ggplot\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u043c\u0456\u043d\u0438\u0442\u0438 \u043a\u043e\u043b\u0456\u0440 \u0444\u043e\u043d\u0443 \u0432 ggplot2<\/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 \u0444\u0443\u043d\u043a\u0446\u0456\u044e geom_abline() \u0442\u0430 \u0456\u043d\u0448\u0456 \u043f\u043e\u0434\u0456\u0431\u043d\u0456 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 geom , \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043f\u0440\u044f\u043c\u0456 \u043b\u0456\u043d\u0456\u0457 \u0434\u043e \u0433\u0440\u0430\u0444\u0456\u043a\u0456\u0432 \u0443 ggplot2. \u041e\u0441\u044c \u043d\u0430\u0439\u043f\u043e\u0448\u0438\u0440\u0435\u043d\u0456\u0448\u0456 \u0441\u043f\u043e\u0441\u043e\u0431\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0438\u0445 \u0444\u0443\u043d\u043a\u0446\u0456\u0439: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_abline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u043b\u0456\u043d\u0456\u044e \u0437 \u043d\u0430\u0445\u0438\u043b\u043e\u043c \u0456 \u043f\u0435\u0440\u0435\u0442\u0438\u043d\u043e\u043c ggplot(df, aes(x, y)) + geom_point() + geom_abline(slope= 3 , intercept= 15 ) \u0421\u043f\u043e\u0441\u0456\u0431 2: \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 geom_vline(), \u0449\u043e\u0431 \u0434\u043e\u0434\u0430\u0442\u0438 \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u0443 [&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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 geom_abline \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043f\u0440\u044f\u043c\u0438\u0445 \u043b\u0456\u043d\u0456\u0439 \u0443 ggplot2 - \u0421\u0442\u0430\u0442\u043e\u043b\u043e\u0433\u0456\u044f<\/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 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 geom_abline() \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043f\u0440\u044f\u043c\u0438\u0445 \u043b\u0456\u043d\u0456\u0439 \u0434\u043e \u0433\u0440\u0430\u0444\u0456\u043a\u0456\u0432, \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u0438\u0445 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e ggplot2 \u0443 R, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/uk\/geom_abline-r\/\" 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\u0441\u0442\u0432\u043e\u0440\u0435\u043d\u0438\u0445 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e ggplot2 \u0443 R, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/uk\/geom_abline-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T07:14:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom1.jpg\" \/>\n<meta name=\"author\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0420\u0435\u0434\u0430\u043a\u0446\u0456\u044f\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u0431\u043b. \u0447\u0430\u0441 \u0447\u0438\u0442\u0430\u043d\u043d\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u0445\u0432\u0438\u043b\u0438\u043d\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/uk\/geom_abline-r\/\",\"url\":\"https:\/\/statorials.org\/uk\/geom_abline-r\/\",\"name\":\"\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 geom_abline \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u043f\u0440\u044f\u043c\u0438\u0445 \u043b\u0456\u043d\u0456\u0439 \u0443 ggplot2 - 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