{"id":3434,"date":"2023-07-17T12:26:45","date_gmt":"2023-07-17T12:26:45","guid":{"rendered":"https:\/\/statorials.org\/tr\/yalnizca-sayisal-sutunlari-olceklendir\/"},"modified":"2023-07-17T12:26:45","modified_gmt":"2023-07-17T12:26:45","slug":"yalnizca-sayisal-sutunlari-olceklendir","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/yalnizca-sayisal-sutunlari-olceklendir\/","title":{"rendered":"R&#39;de yaln\u0131zca say\u0131sal s\u00fctunlar nas\u0131l \u00f6l\u00e7eklenir (\u00f6rnekle)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R&#8217;deki bir veri \u00e7er\u00e7evesinin yaln\u0131zca say\u0131sal s\u00fctunlar\u0131n\u0131 \u00f6l\u00e7eklendirmek i\u00e7in <a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">dplyr<\/a> paketindeki a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n\ndf %&gt;% mutate(across(where(is. <span style=\"color: #3366ff;\">numeric<\/span> ), scale))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u00d6rnek: dplyr kullanarak yaln\u0131zca say\u0131sal s\u00fctunlar\u0131 \u00f6l\u00e7eklendirme<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">R&#8217;de \u00e7e\u015fitli basketbol oyuncular\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'B', 'C', 'D', 'E'),\n                 dots=c(22, 34, 30, 12, 18),\n                 assists=c(7, 9, 9, 12, 14),\n                 rebounds=c(5, 10, 10, 8, 8))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  team points assists rebounds\n1 to 22 7 5\n2 B 34 9 10\n3 C 30 9 10\n4 D 12 12 8\n5 E 18 14 8\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Veri \u00e7er\u00e7evesinin yaln\u0131zca say\u0131sal s\u00fctunlar\u0131n\u0131 \u00f6l\u00e7eklendirmek i\u00e7in R&#8217;deki <a href=\"https:\/\/statorials.org\/tr\/rde-olcek-islevi\/\" target=\"_blank\" rel=\"noopener\">\u00f6l\u00e7ek<\/a> i\u015flevini kullanmak istedi\u011fimizi varsayal\u0131m.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bunu yapmak i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#scale only the numeric columns in the data frame\n<\/span>df %&gt;% mutate(across(where(is. <span style=\"color: #3366ff;\">numeric<\/span> ), scale))\n\n  team points assists rebounds\n1 A -0.1348400 -1.153200 -1.56144012\n2 B 1.2135598 -0.432450 0.87831007\n3 C 0.7640932 -0.432450 0.87831007\n4 D -1.2585064 0.648675 -0.09759001\n5 E -0.5843065 1.369425 -0.09759001\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u00dc\u00e7 say\u0131sal s\u00fctundaki de\u011ferlerin ( <strong>say\u0131lar<\/strong> , <strong>asistler<\/strong> ve <strong>ribaundlar<\/strong> ) <strong>tak\u0131m<\/strong> s\u00fctunu de\u011fi\u015fmeden kal\u0131rken \u00f6l\u00e7eklendirildi\u011fini unutmay\u0131n.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong><span style=\"color: #000000;\">Teknik notlar<\/span><\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">R&#8217;deki <strong>Scale()<\/strong> i\u015flevi a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>scale(x, center = <span style=\"color: #008000;\">TRUE<\/span> , scale = <span style=\"color: #008000;\">TRUE<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x<\/strong> : \u00d6l\u00e7eklenecek nesnenin ad\u0131<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>center<\/strong> : \u00f6l\u00e7eklendirme s\u0131ras\u0131nda ortalaman\u0131n \u00e7\u0131kar\u0131l\u0131p \u00e7\u0131kar\u0131lmayaca\u011f\u0131. Varsay\u0131lan DO\u011eRU&#8217;dur.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u00f6l\u00e7ek<\/strong> : \u00d6l\u00e7eklendirme s\u0131ras\u0131nda standart sapmaya b\u00f6l\u00fcn\u00fcp b\u00f6l\u00fcnmeyece\u011fi. Varsay\u0131lan DO\u011eRU&#8217;dur.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Bu i\u015flev, \u00f6l\u00e7eklendirilmi\u015f de\u011ferleri hesaplamak i\u00e7in a\u015fa\u011f\u0131daki form\u00fcl\u00fc kullan\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong><sub>\u00f6l\u00e7eklendirilmi\u015f<\/sub> x = ( <sub>orijinal<\/sub> x \u2013 x\u0304) \/ s<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong><sub>orijinal<\/sub> x<\/strong> : Orijinal x de\u011feri<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>x\u0304<\/strong> : \u00d6rnek \u015fu anlama gelir:<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>s<\/strong> : numunenin standart sapmas\u0131<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Bu ayn\u0131 zamanda her orijinal de\u011feri bir <a href=\"https:\/\/statorials.org\/tr\/z-puanlarini-yorumlama\/\" target=\"_blank\" rel=\"noopener\">z puan\u0131na<\/a> d\u00f6n\u00fc\u015ft\u00fcren veri <em>normalle\u015ftirmesi<\/em> olarak da bilinir.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki e\u011fitimlerde dplyr kullan\u0131larak di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/tr\/dplyr-sutunlari-ada-gore-sec\/\" target=\"_blank\" rel=\"noopener\">Dplyr kullanarak ada g\u00f6re s\u00fctunlar nas\u0131l se\u00e7ilir<\/a><br \/><a href=\"https:\/\/statorials.org\/tr\/dplyr-sutunlari-dizine-gore-sec\/\" target=\"_blank\" rel=\"noopener\">Dplyr kullanarak dizine g\u00f6re s\u00fctunlar nas\u0131l se\u00e7ilir<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/dplyr-birden-fazla-kosul-varsa-secin\/\" target=\"_blank\" rel=\"noopener\">Select_if&#8217;i dplyr&#8217;de birden \u00e7ok ko\u015fulla kullanma<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R&#8217;deki bir veri \u00e7er\u00e7evesinin yaln\u0131zca say\u0131sal s\u00fctunlar\u0131n\u0131 \u00f6l\u00e7eklendirmek i\u00e7in dplyr paketindeki a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: library (dplyr) df %&gt;% mutate(across(where(is. numeric ), scale)) A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir. \u00d6rnek: dplyr kullanarak yaln\u0131zca say\u0131sal s\u00fctunlar\u0131 \u00f6l\u00e7eklendirme R&#8217;de \u00e7e\u015fitli basketbol oyuncular\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m: #create data frame df &lt;- [&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-3434","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - 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