{"id":3902,"date":"2023-07-14T21:02:11","date_gmt":"2023-07-14T21:02:11","guid":{"rendered":"https:\/\/statorials.org\/tr\/sekerlenmis-r\/"},"modified":"2023-07-14T21:02:11","modified_gmt":"2023-07-14T21:02:11","slug":"sekerlenmis-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/sekerlenmis-r\/","title":{"rendered":"R&#39;de confit() i\u015flevi nas\u0131l kullan\u0131l\u0131r?"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Uygun bir regresyon modelinde bir veya daha fazla parametre i\u00e7in bir g\u00fcven aral\u0131\u011f\u0131 hesaplamak amac\u0131yla R&#8217;dekiconcont <strong>()<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n<p> <strong><span style=\"color: #000000;\">Confint(nesne, parm, seviye=0,95)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>nesne<\/strong> : Uygun regresyon modelinin ad\u0131<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>parm<\/strong> : G\u00fcven aral\u0131\u011f\u0131n\u0131n hesaplanaca\u011f\u0131 parametreler (varsay\u0131lan hepsidir)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>d\u00fczey<\/strong> : Kullan\u0131lacak g\u00fcven d\u00fczeyi (varsay\u0131lan de\u011fer 0,95&#8217;tir)<\/span><\/li>\n<\/ul>\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: R&#8217;de consit() i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">Bir s\u0131n\u0131ftaki 10 \u00f6\u011frencinin ders \u00e7al\u0131\u015fmak i\u00e7in harcanan saat say\u0131s\u0131n\u0131, al\u0131nan uygulama s\u0131navlar\u0131n\u0131n say\u0131s\u0131n\u0131 ve final s\u0131nav puan\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki R 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> (score=c(77, 79, 84, 85, 88, 99, 95, 90, 92, 94),\n                 hours=c(1, 1, 2, 3, 2, 4, 4, 2, 3, 3),\n                 prac_exams=c(2, 3, 3, 2, 4, 5, 4, 3, 5, 4))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n   score hours prac_exams\n1 77 1 2\n2 79 1 3\n3 84 2 3\n4 85 3 2\n5 88 2 4\n6 99 4 5\n7 95 4 4\n8 90 2 3\n9 92 3 5\n10 94 3 4\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u015eimdi a\u015fa\u011f\u0131daki \u00e7oklu do\u011frusal regresyon modelini R&#8217;ye s\u0131\u011fd\u0131rmak istedi\u011fimizi varsayal\u0131m:<\/span><\/p>\n<p> <span style=\"color: #000000;\">S\u0131nav puan\u0131 = \u03b2 <sub>0<\/sub> + \u03b2 <sub>1<\/sub> (saat) + \u03b2 <sub>2<\/sub> (pratik s\u0131navlar)<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu modeli uyarlamak i\u00e7in <a href=\"https:\/\/statorials.org\/tr\/rde-lm-islevi\/\" target=\"_blank\" rel=\"noopener\">lm()<\/a> fonksiyonunu kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>fit &lt;- lm(score ~ hours + prac_exams, data=df)\n\n<span style=\"color: #008080;\">#view summary of model\n<\/span>summary(fit)\n\nCall:\nlm(formula = score ~ hours + prac_exams, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-2.4324 -1.2632 -0.8956 0.4316 5.1412 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 68.4029 2.8723 23.815 5.85e-08 ***\nhours 4.1912 0.9961 4.207 0.0040 ** \nprac_exams 2.6912 0.9961 2.702 0.0306 *  \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.535 on 7 degrees of freedom\nMultiple R-squared: 0.9005, Adjusted R-squared: 0.8721 \nF-statistic: 31.68 on 2 and 7 DF, p-value: 0.0003107\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Model \u00f6zetinin uygun regresyon katsay\u0131lar\u0131n\u0131 g\u00f6sterdi\u011fini unutmay\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Kesi\u015fme = 68.4029<\/span><\/li>\n<li> <span style=\"color: #000000;\">saat = 4,1912<\/span><\/li>\n<li> <span style=\"color: #000000;\">prac_exams = 2,6912<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Bu katsay\u0131lar\u0131n her biri i\u00e7in %95&#8217;lik bir g\u00fcven aral\u0131\u011f\u0131 elde etmek amac\u0131yla, <strong>concont()<\/strong> fonksiyonunu kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 95% confidence interval for each coefficient in model<\/span>\nconfined(fit)\n\n                 2.5% 97.5%\n(Intercept) 61.6111102 75.194772\nhours 1.8357237 6.546629\nprac_exams 0.3357237 5.046629\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Her parametre i\u00e7in %95 g\u00fcven aral\u0131\u011f\u0131 belirtilir:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Kesi\u015fme i\u00e7in %95 GA = [61,61, 75,19]<\/span><\/li>\n<li> <span style=\"color: #000000;\">Saatler i\u00e7in %95 GA = [1,84, 6,55]<\/span><\/li>\n<li> <span style=\"color: #000000;\">Prac_exams i\u00e7in %95 GA = [0,34, 5,05]<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">%99 g\u00fcven aral\u0131\u011f\u0131n\u0131 hesaplamak i\u00e7in <strong>seviye<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkeninin de\u011ferini de\u011fi\u015ftirmeniz yeterlidir:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 99% confidence interval for each coefficient in model\n<\/span>confint(fit, level= <span style=\"color: #008000;\">0.99<\/span> )\n\n                 0.5% 99.5%\n(Intercept) 58.3514926 78.454390\nhours 0.7052664 7.677087\nprac_exams -0.7947336 6.177087\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Belirli bir parametre i\u00e7in yaln\u0131zca g\u00fcven aral\u0131\u011f\u0131n\u0131 hesaplamak i\u00e7in <strong>parm<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanarak katsay\u0131y\u0131 belirtmeniz yeterlidir:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 99% confidence interval for hours\n<\/span>confint(fit, parm=' <span style=\"color: #ff0000;\">hours<\/span> ', level= <span style=\"color: #008000;\">0.99<\/span> )\n\n          0.5% 99.5%\nhours 0.7052664 7.677087\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">%99 g\u00fcven aral\u0131\u011f\u0131n\u0131n yaln\u0131zca saat de\u011fi\u015fkeni i\u00e7in g\u00f6sterildi\u011fini unutmay\u0131n.<\/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\u011fitimler R&#8217;deki do\u011frusal regresyon hakk\u0131nda ek bilgi sa\u011flar:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/tr\/rdeki-regresyon-ciktisini-yorumla\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de regresyon \u00e7\u0131kt\u0131s\u0131 nas\u0131l yorumlan\u0131r<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/rde-basit-dogrusal-regresyon\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de basit do\u011frusal regresyon nas\u0131l ger\u00e7ekle\u015ftirilir<\/a><br \/> <a href=\"https:\/\/statorials.org\/tr\/coklu-dogrusal-regresyon-r\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de \u00e7oklu do\u011frusal regresyon nas\u0131l ger\u00e7ekle\u015ftirilir<\/a><br \/> R&#8217;de lojistik regresyon nas\u0131l ger\u00e7ekle\u015ftirilir<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Uygun bir regresyon modelinde bir veya daha fazla parametre i\u00e7in bir g\u00fcven aral\u0131\u011f\u0131 hesaplamak amac\u0131yla R&#8217;dekiconcont () i\u015flevini kullanabilirsiniz. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: Confint(nesne, parm, seviye=0,95) Alt\u0131n: nesne : Uygun regresyon modelinin ad\u0131 parm : G\u00fcven aral\u0131\u011f\u0131n\u0131n hesaplanaca\u011f\u0131 parametreler (varsay\u0131lan hepsidir) d\u00fczey : Kullan\u0131lacak g\u00fcven d\u00fczeyi (varsay\u0131lan de\u011fer 0,95&#8217;tir) A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun [&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-3902","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;deconcont() i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, bir regresyon modelinin parametreleri i\u00e7in g\u00fcven aral\u0131klar\u0131 olu\u015fturmak amac\u0131yla R&#039;dekiconcont() fonksiyonunun nas\u0131l kullan\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r.\" \/>\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\/sekerlenmis-r\/\" \/>\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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