Bu i\u015flevleri kullanman\u0131n en yayg\u0131n yollar\u0131 \u015funlard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1: E\u011fimi ve kesi\u015fimi olan bir \u00e7izgi eklemek i\u00e7in geom_abline() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: Dikey \u00e7izgi eklemek i\u00e7in geom_vline() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 3: Yatay \u00e7izgi eklemek i\u00e7in geom_hline() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 4: Regresyon \u00e7izgisi eklemek i\u00e7in geom_smooth() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, R’deki a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle bu y\u00f6ntemlerin her birinin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, e\u011fimi 3 ve y kesme noktas\u0131 15 olan bir da\u011f\u0131l\u0131m grafi\u011fine d\u00fcz bir \u00e7izgi eklemek i\u00e7in geom_abline()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n A\u015fa\u011f\u0131daki kod, x=5’teki da\u011f\u0131l\u0131m grafi\u011fine dikey bir \u00e7izgi eklemek i\u00e7in geom_vline()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n A\u015fa\u011f\u0131daki kod, y=25’teki da\u011f\u0131l\u0131m grafi\u011fine yatay bir \u00e7izgi eklemek i\u00e7in geom_hline()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n A\u015fa\u011f\u0131daki kod, bir da\u011f\u0131l\u0131m grafi\u011fine uygun bir regresyon \u00e7izgisi eklemek i\u00e7in geom_smooth()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Not<\/strong> : se=FALSE<\/strong> arg\u00fcman\u0131 ggplot2’ye standart hata tahminleri i\u00e7in g\u00f6lgeli \u00e7izgiler g\u00f6r\u00fcnt\u00fclememesini s\u00f6yler.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde ggplot2’de yayg\u0131n olarak kullan\u0131lan di\u011fer i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Ggplot2’de \u00e7izgi kal\u0131nl\u0131\u011f\u0131 nas\u0131l ayarlan\u0131r<\/a> Ggplot2’deki grafiklere d\u00fcz \u00e7izgiler eklemek i\u00e7in geom_abline() i\u015flevini ve di\u011fer benzer geom i\u015flevlerini kullanabilirsiniz. Bu i\u015flevleri kullanman\u0131n en yayg\u0131n yollar\u0131 \u015funlard\u0131r: Y\u00f6ntem 1: E\u011fimi ve kesi\u015fimi olan bir \u00e7izgi eklemek i\u00e7in geom_abline() i\u015flevini kullan\u0131n ggplot(df, aes(x, y)) + geom_point() + geom_abline(slope= 3 , intercept= 15 ) Y\u00f6ntem 2: Dikey \u00e7izgi eklemek i\u00e7in geom_vline() i\u015flevini kullan\u0131n […]<\/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-4284","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n ggplot(df, aes(x, y)) +\n geom_point() +\n geom_abline(slope= 3<\/span> , intercept= 15<\/span> )\n<\/strong><\/span><\/pre>\n ggplot(df, aes(x=xvar, y=yvar)) +\n geom_point() +\n geom_vline(xintercept= 5<\/span> )<\/strong><\/pre>\n ggplot(df, aes(x=xvar, y=yvar)) +\n geom_point() +\n geom_hline(yintercept= 25<\/span> )<\/strong><\/pre>\n ggplot(df, aes(x=xvar, y=yvar)) +\n geom_point() +\n geom_smooth(method=' lm<\/span> ')<\/strong><\/pre>\n #create data frame<\/span>\ndf <- data. frame<\/span> (x=c(1, 2, 3, 3, 5, 7, 9),\n y=c(8, 14, 18, 25, 29, 33, 25))\n\n#view data frame\n<\/span>df\n\n xy\n1 1 8\n2 2 14\n3 3 18\n4 3 25\n5 5 29\n6 7 33\n7 9 25<\/strong><\/pre>\n \u00d6rnek 1: E\u011fimi ve kesi\u015fimi olan bir \u00e7izgi eklemek i\u00e7in geom_abline() i\u015flevini kullan\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (ggplot2)\n\n#create scatterplot and add straight line with specific slope and intercept\n<\/span>ggplot(df, aes(x=x, y=y)) +\n geom_point() +\n geom_abline(slope= 3<\/span> , intercept= 15<\/span> )<\/strong> <\/pre>\n![\"ggplot2'deki](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom1.jpg\")
<\/p>\n \u00d6rnek 2: Dikey \u00e7izgi eklemek i\u00e7in geom_vline() i\u015flevini kullan\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (ggplot2)\n\n#create scatterplot and add vertical line at x=5\n<\/span>ggplot(df, aes(x=x, y=y)) +\n geom_point() +\n geom_vline(xintercept= 5<\/span> )<\/strong> <\/pre>\n![\"R](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom2.jpg\")
<\/p>\n \u00d6rnek 3: Yatay \u00e7izgi eklemek i\u00e7in geom_hline() i\u015flevini kullan\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (ggplot2)\n\n#create scatterplot and add horizontal line at y=25\n<\/span>ggplot(df, aes(x=x, y=y)) +\n geom_point() +\n geom_hline(yintercept= 25<\/span> )<\/strong> <\/pre>\n![\"ggplot'ta](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom3.jpg\")
<\/p>\n \u00d6rnek 4: Bir regresyon \u00e7izgisi eklemek i\u00e7in geom_smooth() i\u015flevini kullan\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (ggplot2)\n\n#create scatterplot and add fitted regression line\n<\/span>ggplot(df, aes(x=x, y=y)) +\n geom_point() +\n geom_smooth(method=' lm<\/span> ', se= FALSE<\/span> )<\/strong> <\/pre>\n![\"ggplot2](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/geom4.jpg\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Ggplot2’de eksen s\u0131n\u0131rlar\u0131 nas\u0131l ayarlan\u0131r?<\/a>
ggplot2’de k\u0131lavuz \u00e7izgileri nas\u0131l kald\u0131r\u0131l\u0131r
Ggplot2’de arka plan rengi nas\u0131l de\u011fi\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"