{"id":3786,"date":"2023-07-15T13:13:38","date_gmt":"2023-07-15T13:13:38","guid":{"rendered":"https:\/\/statorials.org\/uk\/ggplot2-%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d0%b0-%d1%80%d1%8f%d0%b4%d0%ba%d1%96%d0%b2\/"},"modified":"2023-07-15T13:13:38","modified_gmt":"2023-07-15T13:13:38","slug":"ggplot2-%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d0%b0-%d1%80%d1%8f%d0%b4%d0%ba%d1%96%d0%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/ggplot2-%d0%ba%d1%96%d0%bb%d1%8c%d0%ba%d0%b0-%d1%80%d1%8f%d0%b4%d0%ba%d1%96%d0%b2\/","title":{"rendered":"\u042f\u043a \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043b\u0456\u043d\u0456\u0439 \u0443 ggplot2 (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c)"},"content":{"rendered":"

<\/p>\n

\n

\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043f\u043e\u0431\u0443\u0434\u043e\u0432\u0438 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u0440\u044f\u0434\u043a\u0456\u0432 \u0443 ggplot2:<\/span><\/p>\n

 ggplot(df, aes(x=x_var, y=y_var)) + \n  geom_line(aes(color=group_var)) +\n  scale_color_manual(name=' legend_title<\/span> ', labels=c(' lab1<\/span> ', ' lab2<\/span> ', ' lab3<\/span> '),\n                     values=c(' color1<\/span> ', ' color2<\/span> ', ' color3<\/span> '))\n<\/strong><\/span><\/pre>\n
 \u0426\u0435\u0439 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0441\u0442\u0432\u043e\u0440\u044e\u0454 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0432 ggplot2 \u0456\u0437 \u0442\u0440\u044c\u043e\u043c\u0430 \u043b\u0456\u043d\u0456\u044f\u043c\u0438.<\/span><\/p>\n
 \u0426\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0430\u0454, \u0449\u043e \u0432\u0430\u0448 \u043a\u0430\u0434\u0440 \u0434\u0430\u043d\u0438\u0445 \u043c\u0430\u0454 \u0434\u043e\u0432\u0433\u0438\u0439 \u0444\u043e\u0440\u043c\u0430\u0442<\/a> .<\/span><\/p>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043b\u0456\u043d\u0456\u0439 \u0443 ggplot2.<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u043f\u043e\u0431\u0443\u0434\u043e\u0432\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u043b\u0456\u043d\u0456\u0439 \u0443 ggplot2<\/strong><\/span><\/h2>\n
 \u041f\u0440\u0438\u043f\u0443\u0441\u0442\u0456\u043c\u043e, \u0449\u043e \u043c\u0438 \u043c\u0430\u0454\u043c\u043e \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u0430\u0434\u0440 \u0434\u0430\u043d\u0438\u0445 \u0443 R, \u044f\u043a\u0438\u0439 \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u044e \u043f\u0440\u043e \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432, \u0437\u0434\u0456\u0439\u0441\u043d\u0435\u043d\u0438\u0445 \u0443 \u0442\u0440\u044c\u043e\u0445 \u0440\u0456\u0437\u043d\u0438\u0445 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430\u0445 \u0443 \u043f\u2019\u044f\u0442\u044c \u0440\u0456\u0437\u043d\u0438\u0445 \u0434\u043d\u0456\u0432:<\/span><\/p>\n
 #create data frame\ndf <- data. frame<\/span> (day=c(1, 2, 3, 4, 5),\n                 storeA=c(5, 6, 8, 8, 9),\n                 storeB=c(3, 3, 4, 5, 7),\n                 storeC=c(8, 10, 12, 12, 17))\n\n#view data frame\n<\/span>df\n\n  day storeA storeB storeC\n1 1 5 3 8\n2 2 6 3 10\n3 3 8 4 12\n4 4 8 5 12\n5 5 9 7 17\n<\/span><\/span><\/strong><\/span><\/pre>\n
 \u0426\u0435\u0439 \u043a\u0430\u0434\u0440 \u0434\u0430\u043d\u0438\u0445 \u043d\u0430\u0440\u0430\u0437\u0456 \u043c\u0430\u0454 \u0448\u0438\u0440\u043e\u043a\u0438\u0439 \u0444\u043e\u0440\u043c\u0430\u0442.<\/span><\/p>\n
 \u041e\u0434\u043d\u0430\u043a \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e pivot_longer()<\/strong> \u0456\u0437 \u043f\u0430\u043a\u0435\u0442\u0443 Tidyr<\/strong> \u0434\u043b\u044f \u0448\u0432\u0438\u0434\u043a\u043e\u0433\u043e \u043f\u0435\u0440\u0435\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0434\u0430\u043d\u0438\u0445 \u0443 \u0434\u043e\u0432\u0433\u0438\u0439 \u0444\u043e\u0440\u043c\u0430\u0442:<\/span><\/p>\n
 library<\/span> (tidyr)\n\n#convert data from wide to long format\n<\/span>df <- df %>% pivot_longer(cols=c(' storeA<\/span> ', ' storeB<\/span> ', ' storeC<\/span> '),\n                          names_to=' store<\/span> ',\n                          values_to=' sales<\/span> ')\n\n#view updated data frame\n<\/span>df\n\n# A tibble: 15 x 3\n     day store sales\n      \n 1 1 blindA 5\n 2 1 storeB 3\n 3 1 blindC 8\n 4 2 blindA 6\n 5 2 storeB 3\n 6 2 storeC 10\n 7 3 storeA 8\n 8 3 storeB 4\n 9 3 storeC 12\n10 4 storeA 8\n11 4 storeB 5\n12 4 storeC 12\n13 5 storeA 9\n14 5 storeB 7\n15 5 storeC 17<\/strong><\/span><\/pre>\n
 \u0422\u0435\u043f\u0435\u0440, \u043a\u043e\u043b\u0438 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u0438\u0445 \u043c\u0430\u0454 \u0434\u043e\u0432\u0433\u0438\u0439 \u0444\u043e\u0440\u043c\u0430\u0442, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0456\u0437 ggplot2, \u0449\u043e\u0431 \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u0433\u0440\u0430\u0444\u0456\u043a \u043f\u0440\u043e\u0434\u0430\u0436\u0456\u0432 \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0443:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#plot sales by store\nggplot(df, aes(x=day, y=sales)) + \n  geom_line(aes(color=store)) +\n  scale_color_manual(name=' Store<\/span> ', labels=c(' A<\/span> ', ' B<\/span> ', ' C<\/span> '),<\/span>\nvalues=c(' red<\/span> ', ' purple<\/span> ', ' steelblue<\/span> '))\n<\/span><\/span><\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 \u041e\u043a\u0440\u0435\u043c\u0456 \u0440\u044f\u0434\u043a\u0438 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u0436\u0456, \u0437\u0434\u0456\u0439\u0441\u043d\u0435\u043d\u0456 \u0432 \u043a\u043e\u0436\u043d\u043e\u043c\u0443 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0456 \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0434\u043d\u044f.<\/span><\/p>\n
 \u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u043b\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e scale_color_manual()<\/strong> , \u0449\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u044c\u043d\u0443 \u043b\u0435\u0433\u0435\u043d\u0434\u0443 \u0432 \u043f\u0440\u0430\u0432\u0456\u0439 \u0447\u0430\u0441\u0442\u0438\u043d\u0456 \u0433\u0440\u0430\u0444\u0456\u043a\u0430, \u0449\u043e\u0431 \u043f\u043e\u043b\u0435\u0433\u0448\u0438\u0442\u0438 \u0456\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0446\u0456\u044e \u043b\u0456\u043d\u0456\u0439.<\/span><\/p>\n
 \u041d\u0435 \u0441\u043e\u0440\u043e\u043c\u0442\u0435\u0441\u044f \u0437\u043c\u0456\u043d\u044e\u0432\u0430\u0442\u0438 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0438 \u0446\u0456\u0454\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457, \u0449\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043b\u0435\u0433\u0435\u043d\u0434\u0443, \u044f\u043a\u0430 \u0432\u0438\u0433\u043b\u044f\u0434\u0430\u0442\u0438\u043c\u0435 \u0441\u0430\u043c\u0435 \u0442\u0430\u043a, \u044f\u043a \u0432\u0430\u043c \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e.<\/span><\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\n
 \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 \u0442\u0438\u043f\u043e\u0432\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0432 ggplot2:<\/span><\/p>\n
 \u042f\u043a \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0442\u0430 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u043d\u0435 \u0432\u0456\u0434\u0445\u0438\u043b\u0435\u043d\u043d\u044f \u0432 ggplot2<\/a>
 \u042f\u043a \u0434\u043e\u0434\u0430\u0442\u0438 \u0433\u043e\u0440\u0438\u0437\u043e\u043d\u0442\u0430\u043b\u044c\u043d\u0443 \u043b\u0456\u043d\u0456\u044e \u0434\u043e \u0433\u0440\u0430\u0444\u0456\u043a\u0430 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e ggplot2<\/a>
 \u042f\u043a \u043d\u0430\u043c\u0430\u043b\u044e\u0432\u0430\u0442\u0438 \u043b\u0456\u043d\u0456\u044e \u0442\u0440\u0435\u043d\u0434\u0443 \u0432 ggplot2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043f\u043e\u0431\u0443\u0434\u043e\u0432\u0438 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u0440\u044f\u0434\u043a\u0456\u0432 \u0443 ggplot2: ggplot(df, aes(x=x_var, y=y_var)) + geom_line(aes(color=group_var)) + scale_color_manual(name=’ legend_title ‘, labels=c(‘ lab1 ‘, ‘ lab2 ‘, ‘ lab3 ‘), values=c(‘ color1 ‘, ‘ color2 ‘, ‘ color3 ‘)) \u0426\u0435\u0439 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0441\u0442\u0432\u043e\u0440\u044e\u0454 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0432 ggplot2 \u0456\u0437 \u0442\u0440\u044c\u043e\u043c\u0430 \u043b\u0456\u043d\u0456\u044f\u043c\u0438. \u0426\u0435\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0430\u0454, \u0449\u043e \u0432\u0430\u0448 \u043a\u0430\u0434\u0440 […]<\/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":"\n\u042f\u043a \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043b\u0456\u043d\u0456\u0439 \u0443 ggplot2 (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043e\u043c) - \u0421\u0442\u0430\u0442\u043e\u0440\u0456\u0457<\/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 \u043f\u043e\u0431\u0443\u0434\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u043b\u0456\u043d\u0456\u0439 \u0443 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 \u041f\u043e\u0432\u2019\u044f\u0437\u0430\u043d\u0435:<\/strong> \u0437\u043d\u0430\u0439\u043e\u043c\u0441\u0442\u0432\u043e \u0437 pivot_longer() \u0443 R<\/a><\/span><\/p>\n