{"id":2938,"date":"2023-07-20T00:20:07","date_gmt":"2023-07-20T00:20:07","guid":{"rendered":"https:\/\/statorials.org\/tr\/ggplot-guven-araligi\/"},"modified":"2023-07-20T00:20:07","modified_gmt":"2023-07-20T00:20:07","slug":"ggplot-guven-araligi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/ggplot-guven-araligi\/","title":{"rendered":"Ggplot2'ye g\u00fcven aral\u0131\u011f\u0131 nas\u0131l eklenir (\u00f6rnekle)"},"content":{"rendered":"

<\/p>\n

\n

Ggplot2’deki bir \u00e7izime g\u00fcven aral\u0131\u011f\u0131 \u00e7izgileri eklemek i\u00e7in geom_smooth()<\/strong> i\u015flevini kullanabilirsiniz:<\/span><\/p>\n

 library<\/span> (ggplot2)\n\nsome_ggplot +\n  geom_point() +\n  geom_smooth(method=lm)<\/strong><\/span><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler, R’de yerle\u015fik mtcars<\/a> veri k\u00fcmesiyle bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek 1: ggplot2’ye g\u00fcven aral\u0131\u011f\u0131 \u00e7izgileri ekleme<\/span><\/strong><\/h3>\n
 A\u015fa\u011f\u0131daki kod, ggplot2’de bir da\u011f\u0131l\u0131m grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 ve en uygun ve %95 g\u00fcven bantlar\u0131na sahip bir \u00e7izginin nas\u0131l eklenece\u011fini g\u00f6sterir:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create scatterplot with confidence bands\n<\/span>ggplot(data=mtcars, aes<\/span> (x=mpg, y=wt)) +\n  geom_point() +\n  geom_smooth(method=lm)\n<\/strong><\/span><\/pre>\n
\"ggplot2<\/p>\n
 Mavi \u00e7izgi, yerle\u015ftirilmi\u015f do\u011frusal regresyon \u00e7izgisini, gri bantlar ise %95 g\u00fcven aral\u0131\u011f\u0131 bantlar\u0131n\u0131 temsil eder.<\/span><\/p>\n
 \u00d6rnek 2: G\u00fcven aral\u0131\u011f\u0131 d\u00fczeyini de\u011fi\u015ftirme<\/span><\/strong><\/h3>\n
 Varsay\u0131lan olarak geom_smooth()<\/strong> %95 g\u00fcven bantlar\u0131n\u0131 kullan\u0131r, ancak farkl\u0131 bir g\u00fcven d\u00fczeyi belirlemek i\u00e7in d\u00fczey<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz.<\/span><\/p>\n
 \u00d6rne\u011fin %90 g\u00fcven aral\u0131klar\u0131 olu\u015fturmay\u0131 se\u00e7ebiliriz:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create scatterplot with 90% confidence bands\n<\/span>ggplot(data=mtcars, aes<\/span> (x=mpg, y=wt)) +\n  geom_point() +\n  geom_smooth(method=lm, level= 0.90<\/span> )\n<\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 Kulland\u0131\u011f\u0131n\u0131z g\u00fcven d\u00fczeyi ne kadar k\u00fc\u00e7\u00fck olursa, g\u00fcven aral\u0131\u011f\u0131 bantlar\u0131 regresyon \u00e7izgisinin etraf\u0131nda o kadar dar olur.<\/span><\/p>\n
 \u00d6rnek 3: G\u00fcven aral\u0131\u011f\u0131 \u00e7izgilerinin g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc de\u011fi\u015ftirme<\/span><\/strong><\/h3>\n
 S\u0131ras\u0131yla regresyon \u00e7izgisinin rengini ve g\u00fcven aral\u0131\u011f\u0131 bantlar\u0131n\u0131n rengini de\u011fi\u015ftirmek i\u00e7in renk<\/strong> ve dolgu ba\u011f\u0131ms\u0131z<\/strong> de\u011fi\u015fkenlerini de kullanabilirsiniz:<\/span><\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create scatterplot with custom confidence interval lines\n<\/span>ggplot(data=mtcars, aes<\/span> (x=mpg, y=wt)) +\n  geom_point() +\n  geom_smooth(method=lm, color=' red<\/span> ', fill=' lightblue<\/span> ')\n<\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 Regresyon \u00e7izgisi art\u0131k k\u0131rm\u0131z\u0131d\u0131r ve g\u00fcven aral\u0131\u011f\u0131 bantlar\u0131 a\u00e7\u0131k maviyle doldurulmu\u015ftur.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde ggplot2’de di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Ggplot2’de efsane ba\u015fl\u0131\u011f\u0131 nas\u0131l de\u011fi\u015ftirilir?<\/a>
 Ggplot2’de eksen etiketleri nas\u0131l d\u00f6nd\u00fcr\u00fcl\u00fcr<\/a>
 R’de nas\u0131l d\u00fczeltilir: \u201cggplot\u201d i\u015flevi bulunam\u0131yor<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Ggplot2’deki bir \u00e7izime g\u00fcven aral\u0131\u011f\u0131 \u00e7izgileri eklemek i\u00e7in geom_smooth() i\u015flevini kullanabilirsiniz: library (ggplot2) some_ggplot + geom_point() + geom_smooth(method=lm) A\u015fa\u011f\u0131daki \u00f6rnekler, R’de yerle\u015fik mtcars veri k\u00fcmesiyle bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek 1: ggplot2’ye g\u00fcven aral\u0131\u011f\u0131 \u00e7izgileri ekleme A\u015fa\u011f\u0131daki kod, ggplot2’de bir da\u011f\u0131l\u0131m grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 ve en uygun ve %95 g\u00fcven bantlar\u0131na sahip bir […]<\/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-2938","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nGgplot2'ye g\u00fcven aral\u0131\u011f\u0131 nas\u0131l eklenir (\u00f6rnekle) - 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 Not<\/strong> : geom_smooth()<\/strong> i\u015flevine ili\u015fkin t\u00fcm belgeleri burada<\/a> bulabilirsiniz.<\/span><\/p>\n