{"id":3967,"date":"2023-07-14T10:53:21","date_gmt":"2023-07-14T10:53:21","guid":{"rendered":"https:\/\/statorials.org\/uk\/r-boxplot-x-%d0%bc%d1%96%d1%82%d0%ba%d0%b8-%d0%be%d1%81%d1%96\/"},"modified":"2023-07-14T10:53:21","modified_gmt":"2023-07-14T10:53:21","slug":"r-boxplot-x-%d0%bc%d1%96%d1%82%d0%ba%d0%b8-%d0%be%d1%81%d1%96","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/r-boxplot-x-%d0%bc%d1%96%d1%82%d0%ba%d0%b8-%d0%be%d1%81%d1%96\/","title":{"rendered":"\u042f\u043a \u0437\u043c\u0456\u043d\u0438\u0442\u0438 \u043f\u043e\u0437\u043d\u0430\u0447\u043a\u0438 \u043e\u0441\u0435\u0439 boxplot \u0443 r (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"},"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 \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0439 \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u0437\u043c\u0456\u043d\u0438\u0442\u0438 \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 X \u043d\u0430 \u043f\u0440\u044f\u043c\u043e\u043a\u0443\u0442\u043d\u0456\u0439 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456 \u0432 R:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0417\u043c\u0456\u043d\u0456\u0442\u044c \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 Boxplot \u0443 Base R<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>boxplot(df, names=c(' <span style=\"color: #ff0000;\">Label 1<\/span> ', ' <span style=\"color: #ff0000;\">Label 2<\/span> ', ' <span style=\"color: #ff0000;\">Label 3<\/span> '))\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2: \u0417\u043c\u0456\u043d\u0456\u0442\u044c \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 Boxplot \u0443 ggplot2<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>levels(df_long$variable) &lt;- c(' <span style=\"color: #ff0000;\">Label 1<\/span> ', ' <span style=\"color: #ff0000;\">Label 2<\/span> ', ' <span style=\"color: #ff0000;\">Label 3<\/span> ')\n\nggplot(df_long, aes(variable, value)) + \n  geom_boxplot()<\/strong><\/span><\/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 \u043c\u0435\u0442\u043e\u0434 \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;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (A=rnorm(1000, mean=5),\n                 B=rnorm(1000, mean=10),\n                 C=rnorm(1000, mean=15))\n\n<span style=\"color: #008080;\">#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<h2> <strong><span style=\"color: #000000;\">\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0420\u0435\u0434\u0430\u0433\u0443\u0432\u0430\u043d\u043d\u044f \u043c\u0456\u0442\u043e\u043a \u043e\u0441\u0435\u0439 \u043f\u0440\u044f\u043c\u043e\u043a\u0443\u0442\u043d\u043e\u0457 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0432 Base R<\/span><\/strong><\/h2>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u042f\u043a\u0449\u043e \u043c\u0438 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454\u043c\u043e \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>boxplot()<\/strong> \u0434\u043b\u044f \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u043f\u0440\u044f\u043c\u043e\u043a\u0443\u0442\u043d\u0438\u0445 \u0434\u0456\u0430\u0433\u0440\u0430\u043c \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 R, \u043d\u0430\u0437\u0432\u0438 \u0441\u0442\u043e\u0432\u043f\u0446\u0456\u0432 \u0456\u0437 \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438\u043c\u0443\u0442\u044c\u0441\u044f \u044f\u043a \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 X \u0437\u0430 \u0443\u043c\u043e\u0432\u0447\u0430\u043d\u043d\u044f\u043c:<\/span><\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create boxplots\n<span style=\"color: #000000;\">boxplot(df)\n<\/span><\/span><\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-31824 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/xnames1.jpg\" alt=\"\" width=\"486\" height=\"430\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\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 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>\u0456\u043c\u0435\u043d<\/strong> , \u0449\u043e\u0431 \u0432\u043a\u0430\u0437\u0430\u0442\u0438, \u044f\u043a\u0456 \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 x \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create boxplots with specific x-axis names\n<span style=\"color: #000000;\">boxplot(df, names=c(' <span style=\"color: #ff0000;\">Team A<\/span> ', ' <span style=\"color: #ff0000;\">Team B<\/span> ', ' <span style=\"color: #ff0000;\">Team C<\/span> '))<\/span>\n<\/span><\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-31825 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/xnames2.jpg\" alt=\"\" width=\"485\" height=\"442\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0432\u0435\u0440\u043d\u0456\u0442\u044c \u0443\u0432\u0430\u0433\u0443, \u0449\u043e \u043c\u0456\u0442\u043a\u0438, \u044f\u043a\u0456 \u043c\u0438 \u0432\u043a\u0430\u0437\u0430\u043b\u0438 \u0432 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u0456 <strong>\u0456\u043c\u0435\u043d<\/strong> , \u0442\u0435\u043f\u0435\u0440 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0442\u044c\u0441\u044f \u044f\u043a \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 \u0445.<\/span><\/p>\n<h2> <strong><span style=\"color: #000000;\">\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0437\u043c\u0456\u043d\u0435\u043d\u043d\u044f \u043c\u0456\u0442\u043e\u043a \u043e\u0441\u0435\u0439 Boxplot \u0443 ggplot2<\/span><\/strong><\/h2>\n<p> <span style=\"color: #000000;\">\u041f\u0435\u0440\u0448 \u043d\u0456\u0436 \u043c\u0438 \u0437\u043c\u043e\u0436\u0435\u043c\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043a\u043e\u0440\u043e\u0431\u043a\u043e\u0432\u0456 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0432 ggplot2, \u043d\u0430\u043c \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>melt()<\/strong> \u0456\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 <strong>reshape2<\/strong> , \u0449\u043e\u0431 \u00ab\u043f\u0435\u0440\u0435\u043f\u043b\u0430\u0432\u0438\u0442\u0438\u00bb \u043a\u0430\u0434\u0440 \u0434\u0430\u043d\u0438\u0445 \u0443 \u0434\u043e\u0432\u0433\u0438\u0439 \u0444\u043e\u0440\u043c\u0430\u0442:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (reshape2)\n\n<span style=\"color: #008080;\">#reshape data frame to long format\n<\/span>df_long &lt;- melt(df)\n\n<span style=\"color: #008080;\">#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<p> <span style=\"color: #000000;\">\u041f\u043e\u0442\u0456\u043c \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 <strong>\u0444\u0443\u043d\u043a\u0446\u0456\u044e Levels()<\/strong> , \u0449\u043e\u0431 \u0432\u043a\u0430\u0437\u0430\u0442\u0438 \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 X, \u0456 \u0444\u0443\u043d\u043a\u0446\u0456\u044e <strong>geom_boxplot()<\/strong> , \u0449\u043e\u0431 \u0444\u0430\u043a\u0442\u0438\u0447\u043d\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u043f\u0440\u044f\u043c\u043e\u043a\u0443\u0442\u043d\u0438\u0439 \u0433\u0440\u0430\u0444\u0456\u043a \u0443 ggplot2:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#specify x-axis names to use\n<\/span>levels(df_long$variable) &lt;- c(' <span style=\"color: #ff0000;\">Team A<\/span> ', ' <span style=\"color: #ff0000;\">Team B<\/span> ', ' <span style=\"color: #ff0000;\">Team C<\/span> ')\n\n<span style=\"color: #008080;\">#create box plot with specific x-axis labels\n<\/span>ggplot(df_long, aes(variable, value)) + \n  geom_boxplot()<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-31826 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/xnames3.jpg\" alt=\"\" width=\"491\" height=\"493\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">\u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u043c\u0456\u0442\u043a\u0438, \u044f\u043a\u0456 \u043c\u0438 \u0432\u043a\u0430\u0437\u0430\u043b\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 <strong>\u0440\u0456\u0432\u043d\u0456\u0432<\/strong> , \u0442\u0435\u043f\u0435\u0440 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0442\u044c\u0441\u044f \u044f\u043a \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 \u0425.<\/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 \u0442\u0438\u043f\u043e\u0432\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0432 R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/reorder-boxplot-in-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u0435\u0440\u0435\u0441\u0442\u0430\u0432\u0438\u0442\u0438 \u043a\u043e\u0440\u043e\u0431\u043a\u043e\u0432\u0456 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0438\u0438-\u043a\u043e\u0440\u043e\u0431\u043a\u043e\u0432\u0438\u0438-\u0433\u0440\u0430\u0444\u0456\u043a-r-ggplot2\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0437\u0433\u0440\u0443\u043f\u043e\u0432\u0430\u043d\u0443 \u043a\u043e\u0440\u043e\u0431\u043a\u043e\u0432\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u043f\u043e\u0437\u043d\u0430\u0447\u043a\u0438-\u0432\u0438\u043a\u0438\u0434\u0456\u0432-\u0443-\u043a\u043e\u0440\u043e\u0431\u043a\u043e\u0432\u0438\u0445-\u0433\u0440\u0430\u0444\u0456\u043a\u0430\u0445-ggplot2\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043f\u043e\u0437\u043d\u0430\u0447\u0438\u0442\u0438 \u0432\u0438\u043a\u0438\u0434\u0438 \u0432 \u043a\u043e\u0440\u043e\u0431\u043a\u043e\u0432\u0438\u0445 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430\u0445 \u0443 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/boxplot-\u0456\u0437-\u0441\u0435\u0440\u0435\u0434\u043d\u0456\u043c-\u0443-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u043d\u0430\u043c\u0430\u043b\u044e\u0432\u0430\u0442\u0438 \u043a\u043e\u0440\u043e\u0431\u043a\u043e\u0432\u0456 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0456\u0437 \u0441\u0435\u0440\u0435\u0434\u043d\u0456\u043c\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438 \u0432 R<\/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 \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0439 \u0456\u0437 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043c\u0435\u0442\u043e\u0434\u0456\u0432, \u0449\u043e\u0431 \u0437\u043c\u0456\u043d\u0438\u0442\u0438 \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 X \u043d\u0430 \u043f\u0440\u044f\u043c\u043e\u043a\u0443\u0442\u043d\u0456\u0439 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0456 \u0432 R: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u0417\u043c\u0456\u043d\u0456\u0442\u044c \u043c\u0456\u0442\u043a\u0438 \u043e\u0441\u0456 Boxplot \u0443 Base R boxplot(df, names=c(&#8216; Label 1 &#8216;, &#8216; Label 2 &#8216;, &#8216; Label 3 &#8216;)) 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