Y\u00f6ntem 1: Temel R’de Kutu Grafi\u011fi Eksen Etiketlerini De\u011fi\u015ftirme<\/strong><\/span><\/p>\n Y\u00f6ntem 2: ggplot2’de Kutu Grafi\u011fi Eksen Etiketlerini De\u011fi\u015ftirme<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, R’deki a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n R tabanl\u0131 kutu grafikleri olu\u015fturmak i\u00e7in boxplot()<\/strong> i\u015flevini kullan\u0131rsak, veri \u00e7er\u00e7evesindeki s\u00fctun adlar\u0131 varsay\u0131lan olarak x ekseni etiketleri olarak kullan\u0131lacakt\u0131r:<\/span><\/span> <\/p>\n Ancak hangi x ekseni etiketlerinin kullan\u0131laca\u011f\u0131n\u0131 belirtmek i\u00e7in adlar<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabiliriz:<\/span> <\/p>\n names<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkeninde belirtti\u011fimiz etiketlerin art\u0131k x ekseni etiketleri olarak kullan\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Ggplot2’de kutu grafikleri olu\u015fturmadan \u00f6nce, veri \u00e7er\u00e7evesini uzun bir formatta “eritmek” i\u00e7in reshape2<\/strong> paketindeki melt()<\/strong> fonksiyonunu kullanmam\u0131z gerekir:<\/span><\/p>\n Daha sonra x ekseni etiketlerini belirtmek i\u00e7inlevels() i\u015flevini<\/strong> ve ggplot2’de kutu grafi\u011fini ger\u00e7ekten olu\u015fturmak i\u00e7in geom_boxplot()<\/strong> i\u015flevini kullanabiliriz:<\/span> <\/p>\n Levels<\/strong> fonksiyonunu kullanarak belirtti\u011fimiz etiketlerin art\u0131k X ekseni etiketleri olarak kullan\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de kutu grafikleri nas\u0131l yeniden d\u00fczenlenir<\/a> R’deki bir kutu grafi\u011findeki X ekseni etiketlerini de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden herhangi birini kullanabilirsiniz: Y\u00f6ntem 1: Temel R’de Kutu Grafi\u011fi Eksen Etiketlerini De\u011fi\u015ftirme boxplot(df, names=c(‘ Label 1 ‘, ‘ Label 2 ‘, ‘ Label 3 ‘)) Y\u00f6ntem 2: ggplot2’de Kutu Grafi\u011fi Eksen Etiketlerini De\u011fi\u015ftirme levels(df_long$variable) <- c(‘ Label 1 ‘, ‘ Label 2 ‘, ‘ […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3970","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n boxplot(df, names=c(' Label 1<\/span> ', ' Label 2<\/span> ', ' Label 3<\/span> '))\n<\/strong><\/span><\/pre>\n levels(df_long$variable) <- c(' Label 1<\/span> ', ' Label 2<\/span> ', ' Label 3<\/span> ')\n\nggplot(df_long, aes(variable, value)) + \n geom_boxplot()<\/strong><\/span><\/pre>\n #make this example reproducible\n<\/span>set. seeds<\/span> (0)\n\n#create data frame\n<\/span>df <- data. frame<\/span> (A=rnorm(1000, mean=5),\n B=rnorm(1000, mean=10),\n C=rnorm(1000, mean=15))\n\n#view head of data frame\n<\/span>head(df)\n\n ABC\n1 6.262954 9.713148 15.44435\n2 4.673767 11.841107 15.01193\n3 6.329799 9.843236 14.99072\n4 6.272429 8.610197 14.69762\n5 5.414641 8.526896 15.49236\n6 3.460050 9.930481 14.39728<\/strong><\/span><\/pre>\n \u00d6rnek 1: Base R’de kutu grafi\u011fi eksen etiketlerini d\u00fczenleyin<\/span><\/strong><\/h2>\n
#create boxplots\nboxplot(df)\n<\/span><\/span><\/strong><\/span><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/xnames1.jpg\")
<\/p>\n #create boxplots with specific x-axis names\nboxplot(df, names=c(' Team A<\/span> ', ' Team B<\/span> ', ' Team C<\/span> '))<\/span>\n<\/span><\/strong><\/span><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/xnames2.jpg\")
<\/p>\n \u00d6rnek 2: ggplot2’de Kutu grafi\u011fi eksen etiketlerini de\u011fi\u015ftirme<\/span><\/strong><\/h2>\n
library<\/span> (reshape2)\n\n#reshape data frame to long format\n<\/span>df_long <- melt(df)\n\n#view head of long data frame\n<\/span>head(df_long)\n\n variable value\n1 A 6.262954\n2 A 4.673767\n3 A 6.329799\n4 A 6.272429\n5 A 5.414641\n6 A 3.460050<\/strong><\/span><\/pre>\n library<\/span> (ggplot2)\n\n#specify x-axis names to use\n<\/span>levels(df_long$variable) <- c(' Team A<\/span> ', ' Team B<\/span> ', ' Team C<\/span> ')\n\n#create box plot with specific x-axis labels\n<\/span>ggplot(df_long, aes(variable, value)) + \n geom_boxplot()<\/strong><\/span> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/xnames3.jpg\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de grupland\u0131r\u0131lm\u0131\u015f bir kutu grafi\u011fi nas\u0131l olu\u015fturulur<\/a>
R’deki kutu grafiklerinde ayk\u0131r\u0131 de\u011ferler nas\u0131l etiketlenir<\/a>
R’de ortalama de\u011ferlere sahip kutu grafikleri nas\u0131l \u00e7izilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"