{"id":1101,"date":"2023-07-27T16:14:56","date_gmt":"2023-07-27T16:14:56","guid":{"rendered":"https:\/\/statorials.org\/tr\/ggplot2-dogrusal-regresyon\/"},"modified":"2023-07-27T16:14:56","modified_gmt":"2023-07-27T16:14:56","slug":"ggplot2-dogrusal-regresyon","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/ggplot2-dogrusal-regresyon\/","title":{"rendered":"Ggplot2'de do\u011frusal regresyon do\u011frusu nas\u0131l \u00e7izilir (\u00f6rneklerle)"},"content":{"rendered":"

<\/p>\n

\n

A\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanarak uygun bir do\u011frusal regresyon modeli \u00e7izmek i\u00e7in R g\u00f6rselle\u015ftirme kitapl\u0131\u011f\u0131 ggplot2’yi<\/a> kullanabilirsiniz:<\/span><\/p>\n

 ggplot(data,aes(x, y)) +\n  geom_point() +\n  geom_smooth(method=' lm<\/span> ')\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: ggplot2’de do\u011frusal bir regresyon \u00e7izgisi \u00e7izmek<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki veri setinebasit bir do\u011frusal regresyon<\/a> modeli uydurdu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 #create dataset\n<\/span>data <- data.frame(y=c(6, 7, 7, 9, 12, 13, 13, 15, 16, 19, 22, 23, 23, 25, 26),\n                   x=c(1, 2, 2, 3, 4, 4, 5, 6, 6, 8, 9, 9, 11, 12, 12))\n\n#fit linear regression model to dataset and view model summary\n<\/span>model <- lm(y~x, data=data)\nsummary(model)\n\nCall:\nlm(formula = y ~ x, data = data)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-1.4444 -0.8013 -0.2426 0.5978 2.2363 \n\nCoefficients:\n            Estimate Std. Error t value Pr(>|t|)    \n(Intercept) 4.20041 0.56730 7.404 5.16e-06 ***\nx 1.84036 0.07857 23.423 5.13e-12 ***\n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 1.091 on 13 degrees of freedom\nMultiple R-squared: 0.9769, Adjusted R-squared: 0.9751 \nF-statistic: 548.7 on 1 and 13 DF, p-value: 5.13e-12\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki kod, uygun do\u011frusal regresyon modelinin nas\u0131l g\u00f6rselle\u015ftirilece\u011fini g\u00f6sterir:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create plot to visualize fitted linear regression model<\/span>\nggplot(data,aes(x, y)) +\n  geom_point() +\n  geom_smooth(method=' lm<\/span> ')<\/strong> <\/pre>\n
\"Ggplot2'de<\/p>\n
 Varsay\u0131lan olarak ggplot2 grafi\u011fe standart hata sat\u0131rlar\u0131 ekler. Bunlar\u0131 se=FALSE<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanarak a\u015fa\u011f\u0131daki \u015fekilde devre d\u0131\u015f\u0131 b\u0131rakabilirsiniz:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create regression plot with no standard error lines<\/span>\nggplot(data,aes(x, y)) +\n  geom_point() +\n  geom_smooth(method=' lm<\/span> ', se= FALSE<\/span> )<\/strong> <\/pre>\n
\"ggplot2<\/p>\n
 Son olarak, g\u00f6rsel olarak daha \u00e7ekici hale getirmek i\u00e7in grafi\u011fin belirli y\u00f6nlerini \u00f6zelle\u015ftirebiliriz:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#create regression plot with customized style<\/span>\nggplot(data,aes(x, y)) +\n  geom_point() +\n  geom_smooth(method=' lm<\/span> ', se= FALSE<\/span> , color=' turquoise4<\/span> ') +\n  theme_minimal() +\n  labs(x=' X Values<\/span> ', y=' Y Values<\/span> ', title=' Linear Regression Plot<\/span> ') +\n  theme(plot.title = element_text(hjust=0.5, size=20, face=' bold<\/span> '))<\/strong> <\/pre>\n
\"R'de<\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 R’de \u00e7oklu do\u011frusal regresyona giri\u015f<\/a>
 R’de bir g\u00fcven aral\u0131\u011f\u0131 nas\u0131l \u00e7izilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
A\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanarak uygun bir do\u011frusal regresyon modeli \u00e7izmek i\u00e7in R g\u00f6rselle\u015ftirme kitapl\u0131\u011f\u0131 ggplot2’yi kullanabilirsiniz: ggplot(data,aes(x, y)) + geom_point() + geom_smooth(method=’ lm ‘) A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: ggplot2’de do\u011frusal bir regresyon \u00e7izgisi \u00e7izmek A\u015fa\u011f\u0131daki veri setinebasit bir do\u011frusal regresyon modeli uydurdu\u011fumuzu varsayal\u0131m: #create dataset data <- data.frame(y=c(6, 7, 7, […]<\/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-1101","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nGgplot2'de Do\u011frusal 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 En iyi ggplot2 temalar\u0131na ili\u015fkin eksiksiz bir k\u0131lavuz i\u00e7in bu makaleye<\/a> bak\u0131n.<\/em><\/span><\/p>\n