{"id":1134,"date":"2023-07-27T13:17:13","date_gmt":"2023-07-27T13:17:13","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%85%d9%82%d9%8a%d8%a7%d8%b3-%d9%84%d9%88%d8%ba%d8%a7%d8%b1%d9%8a%d8%aa%d9%85%d9%8a-ggplot2\/"},"modified":"2023-07-27T13:17:13","modified_gmt":"2023-07-27T13:17:13","slug":"%d9%85%d9%82%d9%8a%d8%a7%d8%b3-%d9%84%d9%88%d8%ba%d8%a7%d8%b1%d9%8a%d8%aa%d9%85%d9%8a-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%85%d9%82%d9%8a%d8%a7%d8%b3-%d9%84%d9%88%d8%ba%d8%a7%d8%b1%d9%8a%d8%aa%d9%85%d9%8a-ggplot2\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0641\u064a ggplot2"},"content":{"rendered":"

<\/p>\n

\n

\u063a\u0627\u0644\u0628\u064b\u0627 \u0645\u0627 \u0642\u062f \u062a\u0631\u063a\u0628 \u0641\u064a \u062a\u062d\u0648\u064a\u0644 \u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0645\u062d\u0648\u0631 \u0627\u0644\u0633\u064a\u0646\u064a \u0623\u0648 \u0627\u0644\u0645\u062d\u0648\u0631 \u0627\u0644\u0635\u0627\u062f\u064a \u0644\u0645\u062e\u0637\u0637 ggplot2 \u0625\u0644\u0649 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a.<\/span><\/p>\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0644\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2 \u0641\u0642\u0637:<\/span><\/p>\n

1. \u0627\u0633\u062a\u062e\u062f\u0645scale_y_continious() \u0623\u0648scale_x_continious()<\/strong><\/span><\/p>\n

 ggplot(df, aes<\/span> (x=x, y=y)) +\n  geom_point() +\n  scale_y_continuous(trans=' log10<\/span> ') +\n  scale_x_continuous(trans=' log10<\/span> ')\n<\/strong><\/pre>\n
 2. \u0627\u0633\u062a\u062e\u062f\u0645 format_trans()<\/strong><\/span><\/p>\n
 ggplot(df, aes<\/span> (x=x, y=y)) +\n  geom_point() +\n  coord_trans(y = ' log10<\/span> '<\/span> , x=' log10<\/span> ')<\/strong><\/pre>\n
 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u064a\u062f \u062a\u0646\u0633\u064a\u0642 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0644\u0639\u0631\u0636 \u0627\u0644\u0623\u0633\u0633\u060c \u0641\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u062d\u0632\u0645\u0629 \u0627\u0644\u0645\u0642\u0627\u064a\u064a\u0633<\/a> :<\/span><\/p>\n
 ggplot(df, aes<\/span> (x=x, y=y)) +\n  geom_point() +\n  scale_y_continuous(trans=' log10<\/span> ',\n                     breaks= trans_breaks<\/span> (' log10<\/span> ', function<\/span> (x) 10^x),\n                     labels= trans_format<\/span> (' log10<\/span> ', math_format<\/span> (10^.x)))<\/strong><\/pre>\n
 \u064a\u0648\u0636\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0623\u0645\u062b\u0644\u0629 \u0639\u0644\u0649 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 1: \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Scale_y_continious()<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 scale_y_continious()<\/strong> \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0644\u0644\u0645\u062d\u0648\u0631 y \u0644\u0645\u062e\u0637\u0637 \u0645\u0628\u0639\u062b\u0631:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create data frame<\/span>\ndf <- data.frame(x=c(2, 5, 6, 7, 9, 13, 14, 16, 18),\n                 y=c(1400, 1700, 2300, 2500, 2800, 2900, 3400, 3900, 11000))\n\n#create scatterplot with log scale on y-axis<\/span>\nggplot(df, aes<\/span> (x=x, y=y)) +\n  geom_point() +\n  scale_y_continuous(trans=' log10<\/span> ')\n<\/strong><\/pre>\n
\"\u0645\u0642\u064a\u0627\u0633<\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 coord_trans()<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 coord_trans()<\/strong> \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0644\u0644\u0645\u062d\u0648\u0631 y \u0644\u0645\u062e\u0637\u0637 \u0645\u0628\u0639\u062b\u0631:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create data frame<\/span>\ndf <- data.frame(x=c(2, 5, 6, 7, 9, 13, 14, 16, 18),\n                 y=c(1400, 1700, 2300, 2500, 2800, 2900, 3400, 3900, 11000))\n\n#create scatterplot with log scale on y-axis<\/span>\nggplot(df, aes<\/span> (x=x, y=y)) +\n  geom_point() +\n  coord_trans(y=' log10<\/span> ')<\/strong> <\/pre>\n
\"\u0645\u0642\u064a\u0627\u0633<\/p>\n
 \u0645\u062b\u0627\u0644 3: \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0627\u0644\u0645\u062e\u0635\u0635\u0629<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0641\u064a \u062d\u0632\u0645\u0629 \u0627\u0644\u0645\u0642\u0627\u064a\u064a\u0633<\/strong> \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0644\u0644\u0645\u062d\u0648\u0631 y \u0644\u0645\u062e\u0637\u0637 \u0627\u0644\u062a\u0634\u062a\u062a \u0648\u0625\u0636\u0627\u0641\u0629 \u062a\u0633\u0645\u064a\u0627\u062a \u0645\u062e\u0635\u0635\u0629 \u0645\u0639 \u0627\u0644\u0623\u0633\u0633:<\/span> <\/p>\n
 library<\/span> (ggplot2)\nlibrary<\/span> (scales)\n\n#create data frame<\/span>\ndf <- data.frame(x=c(2, 5, 6, 7, 9, 13, 14, 16, 18),\n                 y=c(1400, 1700, 2300, 2500, 2800, 2900, 3400, 3900, 11000))\n\n#create scatterplot with log scale on y-axis and custom labels<\/span>\nggplot(df, aes<\/span> (x=x, y=y)) +\n  geom_point() +\n  scale_y_continuous(trans=' log10<\/span> ',\n                     breaks= trans_breaks<\/span> (' log10<\/span> ', function<\/span> (x) 10^x),\n                     labels= trans_format<\/span> (' log10<\/span> ', math_format<\/span> (10^.x)))<\/strong> <\/pre>\n
\"\u0645\u0642\u064a\u0627\u0633<\/p>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0648\u0631 Y \u0644\u0647\u0627 \u0623\u0633\u0633\u060c \u0639\u0644\u0649 \u0639\u0643\u0633 \u0627\u0644\u0645\u062e\u0637\u0637\u064a\u0646 \u0627\u0644\u0633\u0627\u0628\u0642\u064a\u0646.<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0627\u0644\u062f\u0644\u064a\u0644 \u0627\u0644\u0643\u0627\u0645\u0644 \u0644\u0639\u0646\u0627\u0648\u064a\u0646 ggplot2<\/a>
 \u062f\u0644\u064a\u0644 \u0643\u0627\u0645\u0644 \u0644\u0623\u0641\u0636\u0644 \u0645\u0648\u0636\u0648\u0639\u0627\u062a ggplot2<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0642\u0637\u0639 \u0623\u0631\u0636 \u062c\u0646\u0628\u064b\u0627 \u0625\u0644\u0649 \u062c\u0646\u0628 \u0641\u064a ggplot2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u063a\u0627\u0644\u0628\u064b\u0627 \u0645\u0627 \u0642\u062f \u062a\u0631\u063a\u0628 \u0641\u064a \u062a\u062d\u0648\u064a\u0644 \u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0645\u062d\u0648\u0631 \u0627\u0644\u0633\u064a\u0646\u064a \u0623\u0648 \u0627\u0644\u0645\u062d\u0648\u0631 \u0627\u0644\u0635\u0627\u062f\u064a \u0644\u0645\u062e\u0637\u0637 ggplot2 \u0625\u0644\u0649 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a. \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0644\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2 \u0641\u0642\u0637: 1. \u0627\u0633\u062a\u062e\u062f\u0645scale_y_continious() \u0623\u0648scale_x_continious() ggplot(df, aes (x=x, y=y)) + geom_point() + scale_y_continuous(trans=’ log10 ‘) + scale_x_continuous(trans=’ log10 ‘) 2. \u0627\u0633\u062a\u062e\u062f\u0645 format_trans() ggplot(df, aes (x=x, y=y)) + geom_point() + coord_trans(y = […]<\/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":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0641\u064a ggplot2 statorials.org<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0641\u064a \u0644\u063a\u0629 R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2\u060c \u0645\u0639 \u0639\u062f\u0629 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