{"id":3968,"date":"2023-07-14T10:53:21","date_gmt":"2023-07-14T10:53:21","guid":{"rendered":"https:\/\/statorials.org\/ru\/r-%d0%bc%d0%b5%d1%82%d0%ba%d0%b8-%d0%be%d1%81%d0%b8-x-boxplot\/"},"modified":"2023-07-14T10:53:21","modified_gmt":"2023-07-14T10:53:21","slug":"r-%d0%bc%d0%b5%d1%82%d0%ba%d0%b8-%d0%be%d1%81%d0%b8-x-boxplot","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/r-%d0%bc%d0%b5%d1%82%d0%ba%d0%b8-%d0%be%d1%81%d0%b8-x-boxplot\/","title":{"rendered":"\u041a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0432 r (\u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438)"},"content":{"rendered":"

<\/p>\n

\n

\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043b\u044e\u0431\u043e\u0439 \u0438\u0437 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432, \u0447\u0442\u043e\u0431\u044b \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0438 X \u043d\u0430 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0435 \u0432 R:<\/span><\/p>\n

\u041c\u0435\u0442\u043e\u0434 1: \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0432 \u0431\u0430\u0437\u0435 R<\/strong><\/span><\/p>\n

 boxplot(df, names=c(' Label 1<\/span> ', ' Label 2<\/span> ', ' Label 3<\/span> '))\n<\/strong><\/span><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 Boxplot \u0432 ggplot2<\/strong><\/span><\/p>\n
 levels(df_long$variable) <- c(' Label 1<\/span> ', ' Label 2<\/span> ', ' Label 3<\/span> ')\n\nggplot(df_long, aes(variable, value)) + \n  geom_boxplot()<\/strong><\/span><\/pre>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435 \u0441\u043e \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u0444\u0440\u0435\u0439\u043c\u043e\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R:<\/span><\/p>\n
 #make this example reproducible\n<\/span>set. seeds<\/span> (0)\n\n#create data frame\n<\/span>df <- data. frame<\/span> (A=rnorm(1000, mean=5),\n                 B=rnorm(1000, mean=10),\n                 C=rnorm(1000, mean=15))\n\n#view head of data frame\n<\/span>head(df)\n\n         ABC\n1 6.262954 9.713148 15.44435\n2 4.673767 11.841107 15.01193\n3 6.329799 9.843236 14.99072\n4 6.272429 8.610197 14.69762\n5 5.414641 8.526896 15.49236\n6 3.460050 9.930481 14.39728<\/strong><\/span><\/pre>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u0420\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u043c\u0435\u0442\u043e\u043a \u043e\u0441\u0435\u0439 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0432 Base R<\/span><\/strong><\/h2>\n
 \u0415\u0441\u043b\u0438 \u043c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c \u0444\u0443\u043d\u043a\u0446\u0438\u044e boxplot()<\/strong> \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u044b\u0445 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 R, \u0438\u043c\u0435\u043d\u0430 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0438\u0437 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0431\u0443\u0434\u0443\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043c\u0435\u0442\u043e\u043a \u043e\u0441\u0438 X \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e:<\/span><\/span> <\/p>\n
 #create boxplots\nboxplot(df)\n<\/span><\/span><\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 \u041e\u0434\u043d\u0430\u043a\u043e \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 \u0438\u043c\u0435\u043d<\/strong> , \u0447\u0442\u043e\u0431\u044b \u0443\u043a\u0430\u0437\u0430\u0442\u044c, \u043a\u0430\u043a\u0438\u0435 \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0438 X \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c:<\/span> <\/p>\n
 #create boxplots with specific x-axis names\nboxplot(df, names=c(' Team A<\/span> ', ' Team B<\/span> ', ' Team C<\/span> '))<\/span>\n<\/span><\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043c\u0435\u0442\u043a\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u044b \u0443\u043a\u0430\u0437\u0430\u043b\u0438 \u0432 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0435 \u0438\u043c\u0435\u043d<\/strong> , \u0442\u0435\u043f\u0435\u0440\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442\u0441\u044f \u043a\u0430\u043a \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0438 X.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2. \u0418\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u043c\u0435\u0442\u043e\u043a \u043e\u0441\u0435\u0439 Boxplot \u0432 ggplot2<\/span><\/strong><\/h2>\n
 \u041f\u0440\u0435\u0436\u0434\u0435 \u0447\u0435\u043c \u043c\u044b \u0441\u043c\u043e\u0436\u0435\u043c \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u044b\u0435 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0432 ggplot2, \u043d\u0430\u043c \u043d\u0443\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e Melt()<\/strong> \u0438\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 reshape2<\/strong> , \u0447\u0442\u043e\u0431\u044b \u00ab\u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c\u00bb \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0434\u043b\u0438\u043d\u043d\u044b\u0439 \u0444\u043e\u0440\u043c\u0430\u0442:<\/span><\/p>\n
 library<\/span> (reshape2)\n\n#reshape data frame to long format\n<\/span>df_long <- melt(df)\n\n#view head of long data frame\n<\/span>head(df_long)\n\n  variable value\n1 A 6.262954\n2 A 4.673767\n3 A 6.329799\n4 A 6.272429\n5 A 5.414641\n6 A 3.460050<\/strong><\/span><\/pre>\n
 \u0417\u0430\u0442\u0435\u043c \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 level()<\/strong> \u0434\u043b\u044f \u0443\u043a\u0430\u0437\u0430\u043d\u0438\u044f \u043c\u0435\u0442\u043e\u043a \u043e\u0441\u0438 X \u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u044e geom_boxplot()<\/strong> \u0434\u043b\u044f \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0432 ggplot2:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#specify x-axis names to use\n<\/span>levels(df_long$variable) <- c(' Team A<\/span> ', ' Team B<\/span> ', ' Team C<\/span> ')\n\n#create box plot with specific x-axis labels\n<\/span>ggplot(df_long, aes(variable, value)) + \n  geom_boxplot()<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u043c\u0435\u0442\u043a\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u044b \u0443\u043a\u0430\u0437\u0430\u043b\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0443\u0440\u043e\u0432\u043d\u0435\u0439<\/strong> , \u0442\u0435\u043f\u0435\u0440\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442\u0441\u044f \u043a\u0430\u043a \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0438 X.<\/span><\/p>\n
 \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
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 \u0432 R:<\/span><\/p>\n
 \u041a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043f\u043e\u0440\u044f\u0434\u043e\u043a \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c \u0432 R<\/a>
 \u041a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0441\u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u0443\u044e \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0443 \u0432 R<\/a>
 \u041a\u0430\u043a \u043f\u043e\u043c\u0435\u0442\u0438\u0442\u044c \u0432\u044b\u0431\u0440\u043e\u0441\u044b \u043d\u0430 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u044b\u0445 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0430\u0445 \u0432 R<\/a>
 \u041a\u0430\u043a \u0440\u0438\u0441\u043e\u0432\u0430\u0442\u044c \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u044b\u0435 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0441\u043e \u0441\u0440\u0435\u0434\u043d\u0438\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438 \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043b\u044e\u0431\u043e\u0439 \u0438\u0437 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432, \u0447\u0442\u043e\u0431\u044b \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0438 X \u043d\u0430 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0435 \u0432 R: \u041c\u0435\u0442\u043e\u0434 1: \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0432 \u0431\u0430\u0437\u0435 R boxplot(df, names=c(‘ Label 1 ‘, ‘ Label 2 ‘, ‘ Label 3 ‘)) \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 Boxplot \u0432 ggplot2 levels(df_long$variable) <- c(‘ Label 1 ‘, ‘ […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3968","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043c\u0435\u0442\u043a\u0438 \u043e\u0441\u0435\u0439 \u043a\u043e\u0440\u043e\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u044b \u0432 R (\u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438) - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 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