{"id":2267,"date":"2023-07-23T00:20:55","date_gmt":"2023-07-23T00:20:55","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%84%d9%85-%d9%8a%d8%aa%d9%85-%d8%a7%d8%b3%d8%aa%d8%af%d8%b9%d8%a7%d8%a1-%d9%85%d9%88%d9%94%d8%a7%d9%85%d8%b1%d8%a9-%d8%b5-%d8%ac%d8%af%d9%8a%d8%af%d8%a9-%d8%a8%d8%b9%d8%af\/"},"modified":"2023-07-23T00:20:55","modified_gmt":"2023-07-23T00:20:55","slug":"%d9%84%d9%85-%d9%8a%d8%aa%d9%85-%d8%a7%d8%b3%d8%aa%d8%af%d8%b9%d8%a7%d8%a1-%d9%85%d9%88%d9%94%d8%a7%d9%85%d8%b1%d8%a9-%d8%b5-%d8%ac%d8%af%d9%8a%d8%af%d8%a9-%d8%a8%d8%b9%d8%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%84%d9%85-%d9%8a%d8%aa%d9%85-%d8%a7%d8%b3%d8%aa%d8%af%d8%b9%d8%a7%d8%a1-%d9%85%d9%88%d9%94%d8%a7%d9%85%d8%b1%d8%a9-%d8%b5-%d8%ac%d8%af%d9%8a%d8%af%d8%a9-%d8%a8%d8%b9%d8%af\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0625\u0635\u0644\u0627\u062d \u0641\u064a r: \u0644\u0645 \u064a\u062a\u0645 \u0627\u0633\u062a\u062f\u0639\u0627\u0621plot.new \u0628\u0639\u062f"},"content":{"rendered":"

<\/p>\n

\n

\u0627\u0644\u062e\u0637\u0623 \u0627\u0644\u0630\u064a \u0642\u062f \u062a\u0648\u0627\u062c\u0647\u0647 \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 R \u0647\u0648:<\/span><\/p>\n

 Error in plot.xy(xy.coords(x, y), type = type, ...): \n  plot.new has not been called yet\n<\/strong><\/span><\/pre>\n
 \u064a\u062d\u062f\u062b \u0647\u0630\u0627 \u0627\u0644\u062e\u0637\u0623 \u0639\u0646\u062f\u0645\u0627 \u062a\u062d\u0627\u0648\u0644 \u062a\u0646\u0641\u064a\u0630 \u0625\u062c\u0631\u0627\u0621 \u064a\u062a\u0637\u0644\u0628 \u0648\u062c\u0648\u062f \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0628\u0627\u0644\u0641\u0639\u0644 \u0641\u064a R\u060c \u0648\u0644\u0643\u0646 \u0644\u0627 \u062a\u0648\u062c\u062f \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0645\u0648\u062c\u0648\u062f\u0629.<\/span><\/p>\n
 \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0635\u062d\u064a\u062d \u0647\u0630\u0627 \u0627\u0644\u062e\u0637\u0623 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 1: \u0643\u064a\u0641\u064a\u0629 \u0625\u0635\u0644\u0627\u062d \u0627\u0644\u062e\u0637\u0623 \u0641\u064a \u0627\u0644\u0623\u0633\u0637\u0631 ()<\/strong><\/span><\/h3>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646\u0646\u0627 \u0646\u062d\u0627\u0648\u0644 \u0631\u0633\u0645 \u062e\u0637 \u0627\u0646\u062d\u062f\u0627\u0631 \u0645\u0646\u0627\u0633\u0628 \u0641\u064a R:<\/span><\/p>\n
 #createdata\n<\/span>df <- data. frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n#fit polynomial regression model\n<\/span>model <- lm(y~poly(x, 2), data=df)\n\n#define new sequence of x-values\n<\/span>new_x <- seq(min(df$x), max(df$y))\n\n#attempt to plot fitted regression line\n<\/span>lines(new_x, predict(model, newdata = data. frame<\/span> (x=new_x))) \n\nError in plot.xy(xy.coords(x, y), type = type, ...): \n  plot.new has not been called yet<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0642\u062f \u062a\u0644\u0642\u064a\u0646\u0627 \u062e\u0637\u0623\u064b \u0644\u0623\u0646\u0647 \u0644\u0627 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 \u0627\u0644\u062e\u0637\u0648\u0637 ()<\/strong> \u062f\u0648\u0646 \u0625\u0646\u0634\u0627\u0621 \u0645\u0633\u0627\u0631 \u0641\u064a R \u0623\u0648\u0644\u0627\u064b.<\/span><\/p>\n
 \u0644\u062a\u0635\u062d\u064a\u062d \u0647\u0630\u0627 \u0627\u0644\u062e\u0637\u0623\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0648\u0644\u0627\u064b \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0645\u0628\u0639\u062b\u0631 \u062b\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 lines()<\/strong> :<\/span> <\/p>\n
 #create data\n<\/span>df <- data. frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n#fit polynomial regression model\n<\/span>model <- lm(y~poly(x, 2), data=df)\n\n#define new sequence of x-values\n<\/span>new_x <- seq(min(df$x), max(df$y))\n\n#create scatterplot of x vs. y values\n<\/span>plot(y~x, data=df)\n\n#attempt to plot fitted regression line\n<\/span>lines(new_x, predict(model, newdata = data. frame<\/span> (x=new_x)))<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0646\u0627 \u0644\u0627 \u0646\u062a\u0644\u0642\u0649 \u062e\u0637\u0623\u064b \u0644\u0623\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0645\u0646\u0627 \u0627\u0644\u062f\u0627\u0644\u0629 Plot()<\/strong> \u0623\u0648\u0644\u0627\u064b \u0642\u0628\u0644 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 Lines()<\/strong> .<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 2: \u0643\u064a\u0641\u064a\u0629 \u062a\u0635\u062d\u064a\u062d \u062e\u0637\u0623 \u0641\u064a abline()<\/strong><\/span><\/h3>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646\u0646\u0627 \u0646\u062d\u0627\u0648\u0644 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0645\u0628\u0639\u062b\u0631 \u0628\u062e\u0637 \u0623\u0641\u0642\u064a \u0645\u0633\u062a\u0642\u064a\u0645 \u0641\u064a R:<\/span><\/p>\n
 #create data\n<\/span>df <- data. frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n#attempt to add horizontal line at y=10\n<\/span>abline(a=10, b=0, lwd=2)\n\nError in plot.xy(xy.coords(x, y), type = type, ...):\n  plot.new has not been called yet\n<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0642\u062f \u062a\u0644\u0642\u064a\u0646\u0627 \u062e\u0637\u0623 \u0644\u0623\u0646\u0647 \u0644\u0627 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 abline()<\/strong> \u062f\u0648\u0646 \u0625\u0646\u0634\u0627\u0621 \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0641\u064a R.<\/span><\/p>\n
 \u0644\u062a\u0635\u062d\u064a\u062d \u0647\u0630\u0627 \u0627\u0644\u062e\u0637\u0623\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0648\u0644\u0627\u064b \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0645\u0628\u0639\u062b\u0631 \u062b\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 abline()<\/strong> :<\/span> <\/p>\n
 #createdata\n<\/span>df <- data. frame<\/span> (x=c(1, 2, 2, 3, 5, 6, 8, 8, 9, 9, 10, 11, 12, 15, 15),\n                 y=c(2, 3, 3, 4, 5, 5, 6, 7, 8, 8, 9, 10, 16, 19, 28))\n\n#create scatterplot of x vs. y<\/span>\nplot(y~x, data=df)\n\n#add horizontal line at y=10\n<\/span>abline(a=10, b=0, lwd=2)\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0646\u0627 \u0644\u0627 \u0646\u062a\u0644\u0642\u0649 \u0623\u064a \u062e\u0637\u0623 \u0644\u0623\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0645\u0646\u0627 \u0627\u0644\u062f\u0627\u0644\u0629 Plot()<\/strong> \u0623\u0648\u0644\u0627\u064b \u0642\u0628\u0644 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 abline()<\/strong> .<\/span><\/p>\n
 \u0630\u0627\u062a \u0635\u0644\u0629:<\/strong><\/span> \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 aline() \u0641\u064a R \u0644\u0625\u0636\u0627\u0641\u0629 \u062e\u0637\u0648\u0637 \u0645\u0633\u062a\u0642\u064a\u0645\u0629 \u0625\u0644\u0649 \u0627\u0644\u0645\u0633\u0627\u0631\u0627\u062a<\/a><\/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 \u0625\u0635\u0644\u0627\u062d \u0627\u0644\u0623\u062e\u0637\u0627\u0621 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a R:<\/span><\/p>\n
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0625\u0635\u0644\u0627\u062d \u0641\u064a R: \u062b\u0627\u0628\u062a \u0627\u0644\u0633\u0644\u0633\u0644\u0629 \u063a\u064a\u0631 \u0627\u0644\u0645\u062a\u0648\u0642\u0639<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0625\u0635\u0644\u0627\u062d \u0641\u064a R: \u0635\u064a\u063a\u0629 \u0627\u0644\u0642\u0627\u0644\u0628 \u063a\u064a\u0631 \u0635\u0627\u0644\u062d\u0629 \u0641\u064a ExtractVars
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0625\u0635\u0644\u0627\u062d \u0641\u064a R: \u0627\u0644\u0648\u0633\u064a\u0637\u0629 \u0644\u064a\u0633\u062a \u0631\u0642\u0645\u064a\u0629 \u0648\u0644\u0627 \u0645\u0646\u0637\u0642\u064a\u0629: return na<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0627\u0644\u062e\u0637\u0623 \u0627\u0644\u0630\u064a \u0642\u062f \u062a\u0648\u0627\u062c\u0647\u0647 \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 R \u0647\u0648: Error in plot.xy(xy.coords(x, y), type = type, …): plot.new has not been called yet \u064a\u062d\u062f\u062b \u0647\u0630\u0627 \u0627\u0644\u062e\u0637\u0623 \u0639\u0646\u062f\u0645\u0627 \u062a\u062d\u0627\u0648\u0644 \u062a\u0646\u0641\u064a\u0630 \u0625\u062c\u0631\u0627\u0621 \u064a\u062a\u0637\u0644\u0628 \u0648\u062c\u0648\u062f \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0628\u0627\u0644\u0641\u0639\u0644 \u0641\u064a R\u060c \u0648\u0644\u0643\u0646 \u0644\u0627 \u062a\u0648\u062c\u062f \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0645\u0648\u062c\u0648\u062f\u0629. \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0635\u062d\u064a\u062d \u0647\u0630\u0627 \u0627\u0644\u062e\u0637\u0623 \u0639\u0645\u0644\u064a\u064b\u0627. \u0645\u062b\u0627\u0644 1: \u0643\u064a\u0641\u064a\u0629 \u0625\u0635\u0644\u0627\u062d \u0627\u0644\u062e\u0637\u0623 […]<\/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 \u0627\u0644\u0625\u0635\u0644\u0627\u062d \u0641\u064a R: \u0644\u0645 \u064a\u062a\u0645 \u0627\u0633\u062a\u062f\u0639\u0627\u0621plot.new \u0628\u0639\u062f - Statorials<\/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\u0635\u0644\u0627\u062d \u0627\u0644\u062e\u0637\u0623 \u0627\u0644\u062a\u0627\u0644\u064a \u0641\u064a R: \u0644\u0645 \u064a\u062a\u0645 \u0627\u0633\u062a\u062f\u0639\u0627\u0621plot.new \u0628\u0639\u062f.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/\u0644\u0645-\u064a\u062a\u0645-\u0627\u0633\u062a\u062f\u0639\u0627\u0621-\u0645\u0648\u0654\u0627\u0645\u0631\u0629-\u0635-\u062c\u062f\u064a\u062f\u0629-\u0628\u0639\u062f\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0625\u0635\u0644\u0627\u062d \u0641\u064a R: \u0644\u0645 \u064a\u062a\u0645 \u0627\u0633\u062a\u062f\u0639\u0627\u0621plot.new \u0628\u0639\u062f - Statorials\" \/>\n<meta property=\"og: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 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