{"id":455,"date":"2023-07-29T20:27:57","date_gmt":"2023-07-29T20:27:57","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%ba%d0%b0%d0%ba-%d0%bf%d0%be%d1%81%d1%82%d1%80%d0%be%d0%b8%d1%82%d1%8c-%d0%bd%d0%b5%d1%81%d0%ba%d0%be%d0%bb%d1%8c%d0%ba%d0%be-%d1%81%d1%82%d1%80%d0%be%d0%ba-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85\/"},"modified":"2023-07-29T20:27:57","modified_gmt":"2023-07-29T20:27:57","slug":"%d0%ba%d0%b0%d0%ba-%d0%bf%d0%be%d1%81%d1%82%d1%80%d0%be%d0%b8%d1%82%d1%8c-%d0%bd%d0%b5%d1%81%d0%ba%d0%be%d0%bb%d1%8c%d0%ba%d0%be-%d1%81%d1%82%d1%80%d0%be%d0%ba-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%ba%d0%b0%d0%ba-%d0%bf%d0%be%d1%81%d1%82%d1%80%d0%be%d0%b8%d1%82%d1%8c-%d0%bd%d0%b5%d1%81%d0%ba%d0%be%d0%bb%d1%8c%d0%ba%d0%be-%d1%81%d1%82%d1%80%d0%be%d0%ba-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85\/","title":{"rendered":"\u041a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0441\u0442\u0440\u043e\u043a (\u0440\u044f\u0434\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445) \u043d\u0430 \u043e\u0434\u043d\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0435 \u0432 r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0441\u0442\u0440\u043e\u043a (\u0442. \u0435. \u0440\u044f\u0434\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445) \u043d\u0430 \u043e\u0434\u043d\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0435 \u0432 R.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0427\u0442\u043e\u0431\u044b \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0438\u043d\u0438\u0439 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0431\u0430\u0437\u043e\u0432\u044b\u0439 R \u0438\u043b\u0438 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u0441\u043b\u043e\u0436\u043d\u044b\u0439 \u043f\u0430\u043a\u0435\u0442, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440 ggplot2.<\/span><\/p>\n<h2> <strong>\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 BaseR<\/strong><\/h2>\n<p> <span style=\"color: #000000;\">\u0412\u043e\u0442 \u0434\u0432\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u0430 \u0442\u043e\u0433\u043e, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0438\u043d\u0438\u0439 \u043d\u0430 \u043e\u0434\u043d\u043e\u043c \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c Base R.<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">\u041f\u0440\u0438\u043c\u0435\u0440 1: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 Matplot<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u043d\u0430\u0431\u043e\u0440 \u0434\u0430\u043d\u043d\u044b\u0445 <a href=\"https:\/\/en.wikipedia.org\/wiki\/Wide_and_narrow_data#Wide\" target=\"_blank\" rel=\"noopener\">\u0431\u043e\u043b\u044c\u0448\u043e\u0433\u043e \u0444\u043e\u0440\u043c\u0430\u0442\u0430<\/a> , \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0438\u043d\u0438\u0439 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u2014 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c matplot:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#Create a fake dataset with 3 columns (ncol=3) composed of randomly generated\n#numbers from a uniform distribution with minimum = 1 and maximum = 10\n<\/span>data &lt;- matrix(runif(30,1,10), ncol=3)\ndata\n        [,1] [,2] [,3]\n#[1,] 5.371653 3.490919 3.953603\n#[2,] 9.551883 2.681054 9.506765\n#[3,] 3.525686 1.027758 8.059011\n#[4,] 9.923080 1.337935 1.112361\n#[5,] 7.273972 7.627546 1.174340\n#[6,] 8.859109 3.778144 9.384526\n#[7,] 9.614542 3.866029 7.301729\n#[8,] 9.288085 5.804041 8.347907\n#[9,] 1.696849 4.650687 7.220209\n#[10,] 5.820941 4.799682 5.243663\n\n<span style=\"color: #008080;\">#plot the three columns of the dataset as three lines and add a legend in<\/span>\n<span style=\"color: #008080;\">#the top right corner of the chart<\/span>\nmatplot(data, type = \"b\",pch=1,col = 1:3)\nlegend(\"topright\", legend = 1:3, col=1:3, pch=1)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u043e\u0442 \u043a\u043e\u0434 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0433\u0440\u0430\u0444\u0438\u043a:<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">\u041f\u0440\u0438\u043c\u0435\u0440 2. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0442\u043e\u0447\u0435\u043a \u0438 \u043b\u0438\u043d\u0438\u0439<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\u0414\u0440\u0443\u0433\u043e\u0439 \u0441\u043f\u043e\u0441\u043e\u0431 \u043d\u0430\u0440\u0438\u0441\u043e\u0432\u0430\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0438\u043d\u0438\u0439 \u2014 \u0440\u0438\u0441\u043e\u0432\u0430\u0442\u044c \u0438\u0445 \u043f\u043e \u043e\u0434\u043d\u043e\u0439, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 R Points() \u0438 Lines(). \u0412 \u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d\u043d\u043e\u043c \u043d\u0438\u0436\u0435 \u043a\u043e\u0434\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d \u043f\u0440\u0438\u043c\u0435\u0440 \u0442\u0430\u043a\u043e\u0433\u043e \u043f\u043e\u0434\u0445\u043e\u0434\u0430:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#generate an x-axis along with three data series\n<\/span>x &lt;- c(1,2,3,4,5,6)\ny1 &lt;- c(2,4,7,9,12,19)\ny2 &lt;- c(1,5,9,8,9,13)\ny3 &lt;- c(3,6,12,14,17,15)\n<\/strong>\n<strong><span style=\"color: #008080;\">#plot the first data series using plot()<\/span>\nplot(x, y1, type=\"o\", col=\"blue\", pch=\"o\", ylab=\"y\", lty=1)\n\n<span style=\"color: #008080;\">#add second data series to the same chart using points() and lines()\n<\/span>points(x, y2, col=\"red\", pch=\"*\")\nlines(x, y2, col=\"red\",lty=2)\n\n<span style=\"color: #008080;\">#add third data series to the same chart using points() and lines()<\/span>\npoints(x, y3, col=\"dark red\",pch=\"+\")\nlines(x, y3, col=\"dark red\", lty=3)\n\n<span style=\"color: #008080;\">#add a legend in top left corner of chart at (x, y) coordinates = (1, 19)\n<\/span>legend(1,19,legend=c(\"y1\",\"y2\",\"y3\"), col=c(\"blue\",\"red\",\"black\"),\n                                   pch=c(\"o\",\"*\",\"+\"),lty=c(1,2,3), ncol=1)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u043e\u0442 \u043a\u043e\u0434 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0433\u0440\u0430\u0444\u0438\u043a:<\/span><\/p>\n<h2> <strong>\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 ggplot2<\/strong><\/h2>\n<p> <span style=\"color: #000000;\">\u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440 \u0442\u043e\u0433\u043e, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0438\u043d\u0438\u0439 \u043d\u0430 \u043e\u0434\u043d\u043e\u043c \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e ggplot2.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#install (if not already installed) and load ggplot2 package<\/span>\nif(!require(ggplot2)){install.packages(' <span style=\"color: #ff0000;\">ggplot2<\/span> ')}\n\n<span style=\"color: #008080;\">#generate fake dataset with three columns 'x', 'value', and 'variable'<\/span>\ndata &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=rep(1:5, 3),\n                   value=sample(1:100, 15), \n                   variable=rep(paste0(' <span style=\"color: #ff0000;\">series<\/span> ', 1:3), each=5))\n\n<span style=\"color: #008080;\">#view dataset\n<\/span>head(data)\n  x value variable\n1 1 93 series1\n2 2 64 series1\n3 3 36 series1\n4 4 17 series1\n5 5 95 series1\n6 1 80 series2\n\n<span style=\"color: #008080;\">#plot all three series on the same chart using geom_line()<\/span>\nggplot(data = data, aes(x=x, y=value)) + geom_line(aes(color=variable))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u043e \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0433\u0440\u0430\u0444\u0438\u043a:<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\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 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u0432 \u0432 ggplot2:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435-\u043b\u0435\u0433\u0435\u043d\u0434\u044b-ggplot\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u0435 \u043b\u0435\u0433\u0435\u043d\u0434\u044b \u0432 ggplot2<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c-\u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a-\u043b\u0435\u0433\u0435\u043d\u0434\u044b-ggplot2\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a \u043b\u0435\u0433\u0435\u043d\u0434\u044b \u0432 ggplot2<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u043e\u043b\u044f-ggplot\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043f\u043e\u043b\u044f \u0432 ggplot2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0441\u0442\u0440\u043e\u043a (\u0442. \u0435. \u0440\u044f\u0434\u043e\u0432 \u0434\u0430\u043d\u043d\u044b\u0445) \u043d\u0430 \u043e\u0434\u043d\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u0435 \u0432 R. \u0427\u0442\u043e\u0431\u044b \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0438\u043d\u0438\u0439 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0435, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0431\u0430\u0437\u043e\u0432\u044b\u0439 R \u0438\u043b\u0438 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u0441\u043b\u043e\u0436\u043d\u044b\u0439 \u043f\u0430\u043a\u0435\u0442, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440 ggplot2. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 BaseR \u0412\u043e\u0442 \u0434\u0432\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u0430 \u0442\u043e\u0433\u043e, \u043a\u0430\u043a \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0438\u043d\u0438\u0439 \u043d\u0430 \u043e\u0434\u043d\u043e\u043c \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c Base R. \u041f\u0440\u0438\u043c\u0435\u0440 1: \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 [&hellip;]<\/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-455","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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