{"id":476,"date":"2023-07-29T19:10:59","date_gmt":"2023-07-29T19:10:59","guid":{"rendered":"https:\/\/statorials.org\/tr\/r-cinsinden-bir-f-istatistiginin-pd-degeri-nasil-hesaplanir\/"},"modified":"2023-07-29T19:10:59","modified_gmt":"2023-07-29T19:10:59","slug":"r-cinsinden-bir-f-istatistiginin-pd-degeri-nasil-hesaplanir","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/r-cinsinden-bir-f-istatistiginin-pd-degeri-nasil-hesaplanir\/","title":{"rendered":"R cinsinden bir f istatisti\u011finin p de\u011feri nas\u0131l hesaplan\u0131r?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Bir F testi bir <strong>F istatisti\u011fi \u00fcretir.<\/strong> R&#8217;de bir F istatisti\u011fiyle ili\u015fkili <strong>p de\u011ferini<\/strong> bulmak i\u00e7in a\u015fa\u011f\u0131daki komutu kullanabilirsiniz:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\"><strong>pf(fstat, df1, df2, alt.kuyruk = YANLI\u015e)<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>fstat<\/strong> \u2013 f istatisti\u011finin de\u011feri<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>df1<\/strong> \u2013 serbestlik derecesi 1<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>df2<\/strong> \u2013 serbestlik derecesi 2<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>alt.kuyruk<\/strong> \u2013 F da\u011f\u0131l\u0131m\u0131n\u0131n alt kuyru\u011fuyla ili\u015fkili olas\u0131l\u0131\u011f\u0131n d\u00f6nd\u00fcr\u00fcl\u00fcp d\u00f6nd\u00fcr\u00fclmeyece\u011fi. Bu varsay\u0131lan olarak DO\u011eRU&#8217;dur.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u00d6rne\u011fin, serbestlik derecesi 1 = 3 ve serbestlik derecesi 2 = 14 olan 5 F istatisti\u011fiyle ili\u015fkili p de\u011ferini \u015fu \u015fekilde bulabilirsiniz:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>pf(5, 3, 14, lower.tail = FALSE)\n\n#[1] 0.01457807<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">F testinin en yayg\u0131n kullan\u0131mlar\u0131ndan biri <a href=\"https:\/\/statorials.org\/tr\/regresyonda-genel-anlamlilik-icin-f-testini-anlamaya-yonelik-basit-bir-kilavuz\/\" target=\"_blank\" rel=\"noopener\">regresyon modelinin genel anlaml\u0131l\u0131\u011f\u0131n\u0131 test<\/a> etmektir. A\u015fa\u011f\u0131daki \u00f6rnekte, bir regresyon modeli i\u00e7in F istatisti\u011finin p de\u011ferinin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6steriyoruz.<\/span><\/p>\n<h2> <strong><span style=\"color: #000000;\">\u00d6rnek: F istatisti\u011finden p de\u011ferinin hesaplanmas\u0131<\/span><\/strong><\/h2>\n<p> <span style=\"color: #000000;\">Diyelim ki 12 farkl\u0131 \u00f6\u011frencinin toplam ders saatini, toplam girilen haz\u0131rl\u0131k s\u0131nav say\u0131s\u0131n\u0131 ve final s\u0131nav notunu g\u00f6steren bir veri setimiz var:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create dataset<\/span>\ndata &lt;- data.frame(study_hours = c(3, 7, 16, 14, 12, 7, 4, 19, 4, 8, 8, 3),<\/strong>\n<strong>prep_exams = c(2, 6, 5, 2, 7, 4, 4, 2, 8, 4, 1, 3),<\/strong>\n<strong>final_score = c(76, 88, 96, 90, 98, 80, 86, 89, 68, 75, 72, 76))<\/strong>\n<strong>\n<span style=\"color: #008080;\">#view first six rows of dataset<\/span>\nhead(data)\n\n# study_hours prep_exams final_score\n#1 3 2 76\n#2 7 6 88\n#3 16 5 96\n#4 14 2 90\n#5 12 7 98\n#6 7 4 80<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Daha sonra, yorday\u0131c\u0131 de\u011fi\u015fkenler olarak <em>\u00e7al\u0131\u015fma saatlerini<\/em> ve <em>haz\u0131rl\u0131k s\u0131navlar\u0131n\u0131<\/em> ve yan\u0131t de\u011fi\u015fkeni olarak <em>final puan\u0131n\u0131<\/em> kullanarak bu verilere do\u011frusal bir regresyon modeli uydurabiliriz. Daha sonra modelin sonucunu g\u00f6rselle\u015ftirebiliriz:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit regression model<\/span>\nmodel &lt;- lm(final_score ~ study_hours + prep_exams, data = data)\n\n<span style=\"color: #008080;\">#view output of the model<\/span>\nsummary(model)\n\n#Call:\n#lm(formula = final_score ~ study_hours + prep_exams, data = data)\n#\n#Residuals:\n# Min 1Q Median 3Q Max \n#-13,128 -5,319 2,168 3,458 9,341 \n#\n#Coefficients:\n#Estimate Std. Error t value Pr(&gt;|t|)    \n#(Intercept) 66,990 6,211 10,785 1.9e-06 ***\n#study_hours 1.300 0.417 3.117 0.0124 *  \n#prep_exams 1.117 1.025 1.090 0.3041    \n#---\n#Significant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n#\n#Residual standard error: 7.327 on 9 degrees of freedom\n#Multiple R-squared: 0.5308, Adjusted R-squared: 0.4265 \n#F-statistic: 5.091 on 2 and 9 DF, p-value: 0.0332\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Sonucun en son sat\u0131r\u0131nda genel regresyon modelinin F istatisti\u011finin <strong>5,091<\/strong> oldu\u011funu g\u00f6r\u00fcyoruz. Bu F istatisti\u011finin pay i\u00e7in 2, payda i\u00e7in 9 serbestlik derecesi vard\u0131r. R, bu F istatisti\u011finin p de\u011ferinin <strong>0,0332<\/strong> oldu\u011funu otomatik olarak hesaplar.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu e\u015fde\u011fer p de\u011ferini kendimiz hesaplamak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>pf(5.091, 2, 9, lower.tail = FALSE)\n\n#[1] 0.0331947<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Yukar\u0131daki do\u011frusal regresyon \u00e7\u0131kt\u0131s\u0131yla ayn\u0131 cevab\u0131 (ancak daha fazla ondal\u0131k basamak g\u00f6r\u00fcnt\u00fclenerek) ald\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bir F testi bir F istatisti\u011fi \u00fcretir. R&#8217;de bir F istatisti\u011fiyle ili\u015fkili p de\u011ferini bulmak i\u00e7in a\u015fa\u011f\u0131daki komutu kullanabilirsiniz: pf(fstat, df1, df2, alt.kuyruk = YANLI\u015e) fstat \u2013 f istatisti\u011finin de\u011feri df1 \u2013 serbestlik derecesi 1 df2 \u2013 serbestlik derecesi 2 alt.kuyruk \u2013 F da\u011f\u0131l\u0131m\u0131n\u0131n alt kuyru\u011fuyla ili\u015fkili olas\u0131l\u0131\u011f\u0131n d\u00f6nd\u00fcr\u00fcl\u00fcp d\u00f6nd\u00fcr\u00fclmeyece\u011fi. Bu varsay\u0131lan olarak DO\u011eRU&#8217;dur. \u00d6rne\u011fin, [&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-476","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R - Statorials&#039;de bir F istatisti\u011finin P de\u011feri nas\u0131l hesaplan\u0131r?<\/title>\n<meta name=\"description\" content=\"R&#039;de bir f istatisti\u011finin p de\u011ferinin nas\u0131l hesaplanaca\u011f\u0131n\u0131 a\u00e7\u0131klayan basit bir e\u011fitim.\" \/>\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\/tr\/r-cinsinden-bir-f-istatistiginin-pd-degeri-nasil-hesaplanir\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R - 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