{"id":1547,"date":"2023-07-25T22:47:19","date_gmt":"2023-07-25T22:47:19","guid":{"rendered":"https:\/\/statorials.org\/tr\/rde-glm-vs-lm\/"},"modified":"2023-07-25T22:47:19","modified_gmt":"2023-07-25T22:47:19","slug":"rde-glm-vs-lm","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/rde-glm-vs-lm\/","title":{"rendered":"R&#39;de glm ve lm aras\u0131ndaki fark"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R programlama dili, do\u011frusal modellerin yerle\u015ftirilmesi i\u00e7in a\u015fa\u011f\u0131daki i\u015flevleri sa\u011flar:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. lm \u2013 Do\u011frusal modelleri s\u0131\u011fd\u0131rmak i\u00e7in kullan\u0131l\u0131r<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu i\u015flev a\u015fa\u011f\u0131daki s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>lm(form\u00fcl, veri, \u2026)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>form\u00fcl:<\/strong> Do\u011frusal model form\u00fcl\u00fc (\u00f6rne\u011fin y ~ x1 + x2)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>data:<\/strong> Verileri i\u00e7eren veri blo\u011funun ad\u0131<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>2. glm \u2013 Genelle\u015ftirilmi\u015f do\u011frusal modellere uymak i\u00e7in kullan\u0131l\u0131r<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu i\u015flev a\u015fa\u011f\u0131daki s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>glm(form\u00fcl, aile=Gauss, veri, \u2026)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Alt\u0131n:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>form\u00fcl:<\/strong> Do\u011frusal model form\u00fcl\u00fc (\u00f6rne\u011fin y ~ x1 + x2)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>aile:<\/strong> modele uymak i\u00e7in kullan\u0131lacak istatistiksel aile. Varsay\u0131lan Gaussian&#8217;d\u0131r ancak di\u011fer se\u00e7enekler aras\u0131nda Binom, Gamma ve Poisson da bulunur.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>data:<\/strong> Verileri i\u00e7eren veri blo\u011funun ad\u0131<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">Bu iki i\u015flev aras\u0131ndaki tek fark\u0131n <strong>glm()<\/strong> i\u015flevinde yer alan <strong>aile<\/strong> arg\u00fcman\u0131 oldu\u011funu unutmay\u0131n.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Do\u011frusal bir regresyon modeline uymak i\u00e7in lm() veya glm()&#8217;yi kullan\u0131rsan\u0131z, <strong>bunlar tamamen ayn\u0131 sonu\u00e7lar\u0131 \u00fcretecektir<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Ancak glm() i\u015flevi a\u015fa\u011f\u0131daki gibi daha karma\u015f\u0131k modellere uyum sa\u011flamak i\u00e7in de kullan\u0131labilir:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">Lojistik regresyon (aile=binom)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/tr\/balik-regresyonu\/\" target=\"_blank\" rel=\"noopener\">Poisson regresyonu<\/a> (aile=bal\u0131k)<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki \u00f6rnekler lm() ve glm() i\u015flevlerinin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>lm() i\u015flevini kullanma \u00f6rne\u011fi<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki kod, lm() i\u015flevini kullanarak <strong>do\u011frusal bir regresyon modelinin<\/strong> nas\u0131l s\u0131\u011fd\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(mpg ~ disp + hp, data=mtcars)\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nlm(formula = mpg ~ disp + hp, data = mtcars)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-4.7945 -2.3036 -0.8246 1.8582 6.9363 \n\nCoefficients:\n             Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 30.735904 1.331566 23.083 &lt; 2nd-16 ***\navailable -0.030346 0.007405 -4.098 0.000306 ***\nhp -0.024840 0.013385 -1.856 0.073679 .  \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 3.127 on 29 degrees of freedom\nMultiple R-squared: 0.7482, Adjusted R-squared: 0.7309 \nF-statistic: 43.09 on 2 and 29 DF, p-value: 2.062e-09<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>glm() i\u015flevini kullanma \u00f6rnekleri<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki kod, glm() i\u015flevini kullanarak tam olarak ayn\u0131 <strong>do\u011frusal regresyon modelinin<\/strong> nas\u0131l uygulanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- glm(mpg ~ disp + hp, data=mtcars)\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nglm(formula = mpg ~ disp + hp, data = mtcars)\n\nDeviance Residuals: \n    Min 1Q Median 3Q Max  \n-4.7945 -2.3036 -0.8246 1.8582 6.9363  \n\nCoefficients:\n             Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 30.735904 1.331566 23.083 &lt; 2nd-16 ***\navailable -0.030346 0.007405 -4.098 0.000306 ***\nhp -0.024840 0.013385 -1.856 0.073679 .  \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\n(Dispersion parameter for gaussian family taken to be 9.775636)\n\n    Null deviance: 1126.05 on 31 degrees of freedom\nResidual deviance: 283.49 on 29 degrees of freedom\nAIC: 168.62\n\nNumber of Fisher Scoring iterations: 2<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Katsay\u0131 tahminlerinin ve katsay\u0131 tahminlerinin standart hatalar\u0131n\u0131n, lm() i\u015flevi taraf\u0131ndan \u00fcretilenlerle tamamen ayn\u0131 oldu\u011funa dikkat edin.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Family=binomial&#8217;\u0131 a\u015fa\u011f\u0131daki gibi belirterek <strong>lojistik regresyon modeline<\/strong> uyum sa\u011flamak i\u00e7in glm() i\u015flevini de kullanabilece\u011fimizi unutmay\u0131n:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit logistic regression model\n<\/span>model &lt;- glm(am ~ disp + hp, data=mtcars, family=binomial)\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nglm(formula = am ~ disp + hp, family = binomial, data = mtcars)\n\nDeviance Residuals: \n    Min 1Q Median 3Q Max  \n-1.9665 -0.3090 -0.0017 0.3934 1.3682  \n\nCoefficients:\n            Estimate Std. Error z value Pr(&gt;|z|)  \n(Intercept) 1.40342 1.36757 1.026 0.3048  \navailable -0.09518 0.04800 -1.983 0.0474 *\nhp 0.12170 0.06777 1.796 0.0725 .\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\n(Dispersion parameter for binomial family taken to be 1)\n\n    Null deviance: 43,230 on 31 degrees of freedom\nResidual deviance: 16,713 on 29 degrees of freedom\nAIC: 22,713\n\nNumber of Fisher Scoring iterations: 8\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Family=poisson&#8217;u a\u015fa\u011f\u0131daki gibi belirterek bir <strong>Poisson regresyon modeline<\/strong> uyum sa\u011flamak i\u00e7in glm() i\u015flevini de kullanabiliriz:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit Poisson regression model\n<\/span>model &lt;- glm(am ~ disp + hp, data=mtcars, family=fish)\n\n<span style=\"color: #008080;\">#view model summary\n<\/span>summary(model)\n\nCall:\nglm(formula = am ~ disp + hp, family = fish, data = mtcars)\n\nDeviance Residuals: \n    Min 1Q Median 3Q Max  \n-1.1266 -0.4629 -0.2453 0.1797 1.5428  \n\nCoefficients:\n             Estimate Std. Error z value Pr(&gt;|z|)   \n(Intercept) 0.214255 0.593463 0.361 0.71808   \navailable -0.018915 0.007072 -2.674 0.00749 **\nhp 0.016522 0.007163 2.307 0.02107 * \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\n(Dispersion parameter for fish family taken to be 1)\n\n    Null deviance: 23,420 on 31 degrees of freedom\nResidual deviance: 10,526 on 29 degrees of freedom\nAIC: 42,526\n\nNumber of Fisher Scoring iterations: 6\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Ek kaynaklar<\/strong><\/span><\/h3>\n<p> <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 \/> <a href=\"https:\/\/statorials.org\/tr\/r-glm-tahmin\/\" target=\"_blank\" rel=\"noopener\">R&#8217;de glm ile tahmin i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R programlama dili, do\u011frusal modellerin yerle\u015ftirilmesi i\u00e7in a\u015fa\u011f\u0131daki i\u015flevleri sa\u011flar: 1. lm \u2013 Do\u011frusal modelleri s\u0131\u011fd\u0131rmak i\u00e7in kullan\u0131l\u0131r Bu i\u015flev a\u015fa\u011f\u0131daki s\u00f6zdizimini kullan\u0131r: lm(form\u00fcl, veri, \u2026) Alt\u0131n: form\u00fcl: Do\u011frusal model form\u00fcl\u00fc (\u00f6rne\u011fin y ~ x1 + x2) data: Verileri i\u00e7eren veri blo\u011funun ad\u0131 2. glm \u2013 Genelle\u015ftirilmi\u015f do\u011frusal modellere uymak i\u00e7in kullan\u0131l\u0131r Bu i\u015flev a\u015fa\u011f\u0131daki [&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-1547","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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