{"id":456,"date":"2023-07-29T20:27:57","date_gmt":"2023-07-29T20:27:57","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%83%d9%8a%d9%81%d9%8a%d8%a9-%d8%b1%d8%b3%d9%85-%d8%ae%d8%b7%d9%88%d8%b7-%d9%85%d8%aa%d8%b3%d9%84%d8%b3%d9%84%d8%a9-%d9%85%d8%aa%d8%b9%d8%af%d8%af%d8%a9-%d9%85%d9%86-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7\/"},"modified":"2023-07-29T20:27:57","modified_gmt":"2023-07-29T20:27:57","slug":"%d9%83%d9%8a%d9%81%d9%8a%d8%a9-%d8%b1%d8%b3%d9%85-%d8%ae%d8%b7%d9%88%d8%b7-%d9%85%d8%aa%d8%b3%d9%84%d8%b3%d9%84%d8%a9-%d9%85%d8%aa%d8%b9%d8%af%d8%af%d8%a9-%d9%85%d9%86-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%83%d9%8a%d9%81%d9%8a%d8%a9-%d8%b1%d8%b3%d9%85-%d8%ae%d8%b7%d9%88%d8%b7-%d9%85%d8%aa%d8%b3%d9%84%d8%b3%d9%84%d8%a9-%d9%85%d8%aa%d8%b9%d8%af%d8%af%d8%a9-%d9%85%d9%86-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 (\u0633\u0644\u0633\u0644\u0629 \u0628\u064a\u0627\u0646\u0627\u062a) \u0641\u064a \u0645\u062e\u0637\u0637 \u0648\u0627\u062d\u062f \u0641\u064a r"},"content":{"rendered":"

<\/p>\n

\n

\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 \u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 (\u0623\u064a \u0633\u0644\u0633\u0644\u0629 \u0628\u064a\u0627\u0646\u0627\u062a) \u0641\u064a \u0645\u062e\u0637\u0637 \u0648\u0627\u062d\u062f \u0641\u064a R.<\/span><\/p>\n

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\u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 BaseR<\/strong><\/h2>\n

\u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0645\u062b\u0627\u0644\u0627\u0646 \u0644\u0643\u064a\u0641\u064a\u0629 \u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0648\u0627\u062d\u062f \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Base R.<\/span><\/p>\n

\u0645\u062b\u0627\u0644 1: \u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplot<\/span><\/strong><\/h3>\n

\u0625\u0630\u0627 \u0643\u0627\u0646 \u0644\u062f\u064a\u0643 \u0645\u062c\u0645\u0648\u0639\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0643\u0628\u064a\u0631\u0629 \u0627\u0644\u062d\u062c\u0645<\/a> \u060c \u0641\u0625\u0646 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u0633\u0647\u0644\u0629 \u0644\u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 matplot:<\/span><\/p>\n

 #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 <- 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#plot the three columns of the dataset as three lines and add a legend in<\/span>\n#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
 \u064a\u0642\u0648\u0645 \u0647\u0630\u0627 \u0627\u0644\u0643\u0648\u062f \u0628\u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 2: \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0646\u0642\u0627\u0637 \u0648\u0627\u0644\u062e\u0637\u0648\u0637<\/span><\/strong><\/h3>\n
 \u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u0629 \u0623\u062e\u0631\u0649 \u0644\u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 \u0648\u0647\u064a \u0631\u0633\u0645\u0647\u0627 \u0648\u0627\u062d\u062f\u064b\u0627 \u062a\u0644\u0648 \u0627\u0644\u0622\u062e\u0631\u060c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062f\u0627\u0644\u062a\u064a R \u0627\u0644\u0645\u0636\u0645\u0646\u062a\u064a\u0646 () \u0648lines (). \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0623\u062f\u0646\u0627\u0647 \u0645\u062b\u0627\u0644\u0627\u064b \u0639\u0644\u0649 \u0647\u0630\u0627 \u0627\u0644\u0623\u0633\u0644\u0648\u0628:<\/span><\/p>\n
 #generate an x-axis along with three data series\n<\/span>x <- c(1,2,3,4,5,6)\ny1 <- c(2,4,7,9,12,19)\ny2 <- c(1,5,9,8,9,13)\ny3 <- c(3,6,12,14,17,15)\n<\/strong>\n#plot the first data series using plot()<\/span>\nplot(x, y1, type=\"o\", col=\"blue\", pch=\"o\", ylab=\"y\", lty=1)\n\n#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#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#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
 \u064a\u0642\u0648\u0645 \u0647\u0630\u0627 \u0627\u0644\u0643\u0648\u062f \u0628\u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2<\/strong><\/h2>\n
 \u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0645\u062b\u0627\u0644 \u0644\u0643\u064a\u0641\u064a\u0629 \u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0648\u0627\u062d\u062f \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ggplot2.<\/span><\/p>\n
 #install (if not already installed) and load ggplot2 package<\/span>\nif(!require(ggplot2)){install.packages(' ggplot2<\/span> ')}\n\n#generate fake dataset with three columns 'x', 'value', and 'variable'<\/span>\ndata <- data. frame<\/span> (x=rep(1:5, 3),\n                   value=sample(1:100, 15), \n                   variable=rep(paste0(' series<\/span> ', 1:3), each=5))\n\n#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#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
 \u064a\u0624\u062f\u064a \u0647\u0630\u0627 \u0625\u0644\u0649 \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u062a\u062e\u0637\u064a\u0637 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a ggplot2:<\/span><\/p>\n
 \u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u0645\u0648\u0636\u0639 \u0627\u0644\u0623\u0633\u0637\u0648\u0631\u0629 \u0641\u064a ggplot2<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u0639\u0646\u0648\u0627\u0646 \u0627\u0644\u0623\u0633\u0637\u0648\u0631\u0629 \u0641\u064a ggplot2<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u0627\u0644\u0647\u0648\u0627\u0645\u0634 \u0641\u064a ggplot2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\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 \u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 (\u0623\u064a \u0633\u0644\u0633\u0644\u0629 \u0628\u064a\u0627\u0646\u0627\u062a) \u0641\u064a \u0645\u062e\u0637\u0637 \u0648\u0627\u062d\u062f \u0641\u064a R. \u0644\u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0625\u0645\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0642\u0627\u0639\u062f\u0629 R \u0623\u0648 \u062a\u062b\u0628\u064a\u062a \u062d\u0632\u0645\u0629 \u0623\u0643\u062b\u0631 \u062a\u0639\u0642\u064a\u062f\u064b\u0627 \u0645\u062b\u0644 ggplot2. \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 BaseR \u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0645\u062b\u0627\u0644\u0627\u0646 \u0644\u0643\u064a\u0641\u064a\u0629 \u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0631\u0633\u0645 \u0628\u064a\u0627\u0646\u064a \u0648\u0627\u062d\u062f \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 Base R. \u0645\u062b\u0627\u0644 1: \u0627\u0633\u062a\u062e\u062f\u0627\u0645 Matplot \u0625\u0630\u0627 […]<\/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 \u0631\u0633\u0645 \u062e\u0637\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629 (\u0633\u0644\u0633\u0644\u0629 \u0628\u064a\u0627\u0646\u0627\u062a) \u0641\u064a \u0645\u062e\u0637\u0637 \u0648\u0627\u062d\u062f \u0641\u064a R - Statorials<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 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