{"id":1115,"date":"2023-07-27T14:52:53","date_gmt":"2023-07-27T14:52:53","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%aa%d8%b7%d8%a8%d9%8a%d8%b9-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d9%81%d9%8a-%d8%b5\/"},"modified":"2023-07-27T14:52:53","modified_gmt":"2023-07-27T14:52:53","slug":"%d8%aa%d8%b7%d8%a8%d9%8a%d8%b9-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d9%81%d9%8a-%d8%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%aa%d8%b7%d8%a8%d9%8a%d8%b9-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d9%81%d9%8a-%d8%b5\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u0648\u062d\u064a\u062f \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a r: \u0645\u0639 \u0623\u0645\u062b\u0644\u0629"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u064a\u0639\u0646\u064a <strong>\u062a\u0648\u062d\u064a\u062f<\/strong> \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0642\u064a\u0627\u0633 \u062c\u0645\u064a\u0639 \u0627\u0644\u0642\u064a\u0645 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u062d\u064a\u062b \u062a\u0643\u0648\u0646 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629 0 \u0648\u0627\u0644\u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a \u0647\u0648 1.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u064b\u0627 \u0644\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643 \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0648\u062d\u064a\u062f \u0627\u0644\u0646\u0642\u0627\u0637 Z\u060c \u0648\u0627\u0644\u0630\u064a \u064a\u0642\u0648\u0645 \u0628\u0642\u064a\u0627\u0633 \u0627\u0644\u0642\u064a\u0645 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>(\u0633 <sub>\u0637<\/sub> &#8211; <span style=\"text-decoration: overline;\">\u0633<\/span> ) \/ \u0642<\/strong><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0630\u0647\u0628:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>x <sub>i<\/sub><\/strong> : \u0627\u0644\u0642\u064a\u0645\u0629 <sup>i<\/sup> \u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong><span style=\"text-decoration: overline;\">x<\/span><\/strong> : \u062a\u0639\u0646\u064a \u0627\u0644\u0639\u064a\u0646\u0629<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>s<\/strong> : \u0627\u0644\u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a \u0644\u0644\u0639\u064a\u0646\u0629<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\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<a href=\"https:\/\/statorials.org\/ar\/\u0648\u0638\u064a\u0641\u0629-\u0627\u0644\u0646\u0637\u0627\u0642-\u0641\u064a-\u0635\/\" target=\"_blank\" rel=\"noopener\">scale()<\/a> \u0645\u0639 \u062d\u0632\u0645\u0629 <strong>dplyr<\/strong> \u0641\u064a R \u0644\u0642\u064a\u0627\u0633 \u0645\u062a\u063a\u064a\u0631 \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0641\u064a \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0648\u062d\u064a\u062f z-score.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u062a\u0648\u062d\u064a\u062f \u0645\u062a\u063a\u064a\u0631 \u0648\u0627\u062d\u062f<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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 \u0642\u064a\u0627\u0633 \u0645\u062a\u063a\u064a\u0631 \u0648\u0627\u062d\u062f \u0641\u064a \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0628\u062b\u0644\u0627\u062b\u0629 \u0645\u062a\u063a\u064a\u0631\u0627\u062a:<br \/><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#make this example reproducible<\/span> \nset.seed(1)\n\n<span style=\"color: #008080;\">#create original data frame\n<\/span>df &lt;- data.frame(var1= runif(10, 0, 50), \n                 var2= runif(10, 2, 23),\n                 var3= runif(10, 5, 38))\n<span style=\"color: #008080;\">\n#view original data frame<\/span>\ndf\n\n        var1 var2 var3\n1 13.275433 6.325466 35.845273\n2 18.606195 5.707692 12.000703\n3 28.642668 16.427480 26.505234\n4 45.410389 10.066178 9.143318\n5 10.084097 18.166670 13.818282\n6 44.919484 12.451684 17.741765\n7 47.233763 17.069989 5.441881\n8 33.039890 22.830028 17.618803\n9 31.455702 9.980739 33.699798\n10 3.089314 18.326350 16.231517\n\n<span style=\"color: #008080;\">#scale <em>var1<\/em> to have mean = 0 and standard deviation = 1<\/span>\ndf2 &lt;- df %&gt;% <span style=\"color: #3366ff;\">mutate_at<\/span> (c(' <span style=\"color: #008000;\">var1<\/span> '), ~( <span style=\"color: #3366ff;\">scale<\/span> (.) %&gt;% <span style=\"color: #3366ff;\">as.vector<\/span> ))\ndf2\n\n          var1 var2 var3\n1 -0.90606801 6.325466 35.845273\n2 -0.56830963 5.707692 12.000703\n3 0.06760377 16.427480 26.505234\n4 1.13001072 10.066178 9.143318\n5 -1.10827188 18.166670 13.818282\n6 1.09890684 12.451684 17.741765\n7 1.24554014 17.069989 5.441881\n8 0.34621281 22.830028 17.618803\n9 0.24583830 9.980739 33.699798\n10 -1.55146305 18.326350 16.231517\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645 \u0642\u064a\u0627\u0633 \u0627\u0644\u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0623\u0648\u0644 \u0641\u0642\u0637 \u0628\u064a\u0646\u0645\u0627 \u0638\u0644 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u0646 \u0627\u0644\u0622\u062e\u0631\u0627\u0646 \u0639\u0644\u0649 \u062d\u0627\u0644\u0647\u0645\u0627. \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0624\u0643\u062f \u0628\u0633\u0631\u0639\u0629 \u0623\u0646 \u0627\u0644\u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u062c\u062f\u064a\u062f \u0644\u0647 \u0642\u064a\u0645\u0629 \u0645\u062a\u0648\u0633\u0637\u0629 \u0642\u062f\u0631\u0647\u0627 0 \u0648\u0627\u0646\u062d\u0631\u0627\u0641 \u0645\u0639\u064a\u0627\u0631\u064a \u0642\u062f\u0631\u0647 1:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate mean of scaled variable<\/span>\nmean(df2$var1)\n\n[1] -4.18502e-18 <span style=\"color: #008080;\">#basically zero<\/span>\n\n<span style=\"color: #008080;\">#calculate standard deviation of scaled variable<\/span> \nsd(df2$var1)\n\n[1] 1<\/strong><\/pre>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u062a\u0648\u062d\u064a\u062f \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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 \u0642\u064a\u0627\u0633 \u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0645\u0631\u0629 \u0648\u0627\u062d\u062f\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#make this example reproducible<\/span> \nset.seed(1)\n\n<span style=\"color: #008080;\">#create original data frame\n<\/span>df &lt;- data.frame(var1= runif(10, 0, 50), \n                 var2= runif(10, 2, 23),\n                 var3= runif(10, 5, 38))\n\n<span style=\"color: #008080;\">#scale <em>var1<\/em> and <em>var2<\/em> to have mean = 0 and standard deviation = 1<\/span>\ndf3 &lt;- df %&gt;% <span style=\"color: #3366ff;\">mutate_at<\/span> (c(' <span style=\"color: #008000;\">var1<\/span> ', ' <span style=\"color: #008000;\">var2<\/span> '), ~( <span style=\"color: #3366ff;\">scale<\/span> (.) %&gt;% <span style=\"color: #3366ff;\">as.vector<\/span> ))\ndf3\n\n          var1 var2 var3\n1 -0.90606801 -1.3045574 35.845273\n2 -0.56830963 -1.4133223 12.000703\n3 0.06760377 0.4739961 26.505234\n4 1.13001072 -0.6459703 9.143318\n5 -1.10827188 0.7801967 13.818282\n6 1.09890684 -0.2259798 17.741765\n7 1.24554014 0.5871157 5.441881\n8 0.34621281 1.6012242 17.618803\n9 0.24583830 -0.6610127 33.699798\n10 -1.55146305 0.8083098 16.231517<\/strong><\/pre>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u062a\u0648\u062d\u064a\u062f \u062c\u0645\u064a\u0639 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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 \u0642\u064a\u0627\u0633 <em>\u062c\u0645\u064a\u0639<\/em> \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0641\u064a \u0625\u0637\u0627\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 <strong>mutate_all<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#make this example reproducible<\/span> \nset.seed(1)\n\n<span style=\"color: #008080;\">#create original data frame\n<\/span>df &lt;- data.frame(var1= runif(10, 0, 50), \n                 var2= runif(10, 2, 23),\n                 var3= runif(10, 5, 38))\n\n<span style=\"color: #008080;\">#scale all variables to have mean = 0 and standard deviation = 1<\/span>\ndf4 &lt;- df %&gt;% <span style=\"color: #3366ff;\">mutate_all<\/span> (~( <span style=\"color: #3366ff;\">scale<\/span> (.) %&gt;% <span style=\"color: #3366ff;\">as.vector<\/span> ))\ndf4\n\n          var1 var2 var3\n1 -0.90606801 -1.3045574 1.6819976\n2 -0.56830963 -1.4133223 -0.6715858\n3 0.06760377 0.4739961 0.7600871\n4 1.13001072 -0.6459703 -0.9536246\n5 -1.10827188 0.7801967 -0.4921813\n6 1.09890684 -0.2259798 -0.1049130\n7 1.24554014 0.5871157 -1.3189757\n8 0.34621281 1.6012242 -0.1170501\n9 0.24583830 -0.6610127 1.4702281\n10 -1.55146305 0.8083098 -0.2539824<\/strong><\/pre>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\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 \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a R:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0643\u064a\u0641\u064a\u0629-\u062a\u0637\u0628\u064a\u0639-\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a-\u0641\u064a-\u0635\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062a\u0637\u0628\u064a\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0641\u064a R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0627\u0646\u062d\u0631\u0627\u0641-\u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a-\u0641\u064a-\u0635\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a \u0641\u064a R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u062d\u062a\u0633\u0627\u0628-\u0627\u0644\u0642\u064a\u0645-\u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629-\u0641\u064a-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u0627\u062d\u062a\u0633\u0627\u0628 \u062c\u0645\u064a\u0639 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629 \u0641\u064a R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u062a\u062d\u0648\u064a\u0644-\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a-\u0627\u0655\u0644\u0649-\u0635\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0625\u0644\u0649 \u0644\u063a\u0629 R (\u0627\u0644\u0633\u062c\u0644\u060c \u0627\u0644\u062c\u0630\u0631 \u0627\u0644\u062a\u0631\u0628\u064a\u0639\u064a\u060c \u0627\u0644\u062c\u0630\u0631 \u0627\u0644\u062a\u0643\u0639\u064a\u0628\u064a)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0639\u0646\u064a \u062a\u0648\u062d\u064a\u062f \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0642\u064a\u0627\u0633 \u062c\u0645\u064a\u0639 \u0627\u0644\u0642\u064a\u0645 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u062d\u064a\u062b \u062a\u0643\u0648\u0646 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629 0 \u0648\u0627\u0644\u0627\u0646\u062d\u0631\u0627\u0641 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a 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