\u00c7o\u011fu durumda bu t\u00fcr \u00e7izim, bir veri k\u00fcmesinin normal da\u011f\u0131l\u0131ma uyup uymad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in kullan\u0131l\u0131r.<\/span><\/p>\n Veriler normal olarak da\u011f\u0131l\u0131yorsa, QQ grafi\u011findeki noktalar d\u00fcz bir \u00e7apraz \u00e7izgi \u00fczerinde yer alacakt\u0131r.<\/span><\/p>\n Tersine, e\u011fer noktalar d\u00fcz \u00e7apraz \u00e7izgiden \u00f6nemli \u00f6l\u00e7\u00fcde sap\u0131yorsa, verilerin normal da\u011f\u0131lma olas\u0131l\u0131\u011f\u0131 daha d\u00fc\u015f\u00fckt\u00fcr.<\/span><\/p>\n Ggplot2’de bir QQ grafi\u011fi olu\u015fturmak i\u00e7in stat_qq()<\/strong> ve stat_qq_line()<\/strong> i\u015flevlerini a\u015fa\u011f\u0131daki gibi kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, iki farkl\u0131 senaryoda bir QQ grafi\u011fi olu\u015fturmak i\u00e7in bu s\u00f6zdiziminin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, 200 g\u00f6zlemle<\/a> normal \u015fekilde da\u011f\u0131t\u0131lm\u0131\u015f bir veri k\u00fcmesinin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 ve R’deki veri k\u00fcmesi i\u00e7in bir QQ grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Noktalar\u0131n esas olarak d\u00fcz \u00e7apraz \u00e7izgi boyunca uzand\u0131\u011f\u0131n\u0131 ve her bir kuyruk boyunca baz\u0131 k\u00fc\u00e7\u00fck sapmalar oldu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n Bu grafi\u011fe dayanarak, bu veri k\u00fcmesinin normal da\u011f\u0131ld\u0131\u011f\u0131n\u0131 varsayaca\u011f\u0131z.<\/span><\/p>\n \u0130sterseniz \u00e7izimdeki noktalar\u0131n rengini ve boyutunu de\u011fi\u015ftirmek i\u00e7in renk ve boyut arg\u00fcmanlar\u0131n\u0131 da kullanabilece\u011fimizi unutmay\u0131n:<\/span> <\/p>\n A\u015fa\u011f\u0131daki kod, 200 g\u00f6zlemle \u00fcstel bir da\u011f\u0131l\u0131m izleyen bir veri k\u00fcmesi i\u00e7in QQ grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Noktalar\u0131n diyagonal \u00e7izgiden \u00f6nemli \u00f6l\u00e7\u00fcde sapt\u0131\u011f\u0131n\u0131 g\u00f6r\u00fcyoruz. Bu a\u00e7\u0131k\u00e7a veri setinin normal da\u011f\u0131lmad\u0131\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Verilerin \u00fcstel bir da\u011f\u0131l\u0131m izlemesi gerekti\u011fini belirtti\u011fimiz g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, bu mant\u0131kl\u0131 olmal\u0131d\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimler ggplot2’de di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n Ggplot2’de birden fazla sat\u0131r nas\u0131l \u00e7izilir<\/a> Bir veri k\u00fcmesinin potansiyel olarak teorik bir da\u011f\u0131l\u0131mdan gelip gelmedi\u011fini de\u011ferlendirmek i\u00e7in “kantil-nicelik” kelimesinin k\u0131saltmas\u0131 olan bir QQ grafi\u011fi kullan\u0131l\u0131r. \u00c7o\u011fu durumda bu t\u00fcr \u00e7izim, bir veri k\u00fcmesinin normal da\u011f\u0131l\u0131ma uyup uymad\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in kullan\u0131l\u0131r. Veriler normal olarak da\u011f\u0131l\u0131yorsa, QQ grafi\u011findeki noktalar d\u00fcz bir \u00e7apraz \u00e7izgi \u00fczerinde yer alacakt\u0131r. Tersine, e\u011fer noktalar d\u00fcz \u00e7apraz \u00e7izgiden […]<\/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-3791","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (ggplot2)<\/span>\n\n<\/span>ggplot(df, aes(sample=y)) +\n stat_qq() + \n stat_qq_line()\n<\/strong><\/pre>\n \u00d6rnek 1: Normal veriler i\u00e7in QQ grafi\u011fi<\/strong><\/span><\/h2>\n
library<\/span> (ggplot2)<\/span>\n\n#make this example reproducible\n<\/span>set. seeds<\/span> (1)\n\n#create some fake data that follows a normal distribution\n<\/span>df <- data. frame<\/span> (y=rnorm(200))\n\n#create QQ plot\n<\/span>ggplot(df, aes(sample=y)) +\n stat_qq() + \n stat_qq_line()\n<\/strong><\/pre>\n![\"ggplot2'deki](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/qq1.jpg\")
<\/p>\n library<\/span> (ggplot2)<\/span>\n\n#make this example reproducible\n<\/span>set. seeds<\/span> (1)\n\n#create some fake data that follows a normal distribution\n<\/span>df <- data. frame<\/span> (y=rnorm(200))\n\n#create QQ plot\n<\/span>ggplot(df, aes(sample=y)) +\n stat_qq(size= 2.5<\/span> , color=' red<\/span> ') + \n stat_qq_line()<\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/qq2.jpg\")
<\/p>\n \u00d6rnek 2: Normal olmayan veriler i\u00e7in QQ grafi\u011fi<\/strong><\/span><\/h2>\n
#make this example reproducible\n<\/span>set. seeds<\/span> (1)\n\n#create some fake data that follows an exponential distribution\n<\/span>df <- data. frame<\/span> (y=rexp( 200<\/span> , rate= 3<\/span> ))\n\n#create QQ plot\n<\/span>ggplot(df, aes(sample=y)) +\n stat_qq() + \n stat_qq_line()\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/qq3.jpg\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Ggplot2’de ortalama ve standart sapma nas\u0131l \u00e7izilir<\/a>
Ggplot2’de \u00e7izgi renkleri nas\u0131l de\u011fi\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"