Neyse ki, ggplot2’deki geom_point()<\/strong> ve geom_errorbar()<\/strong> i\u015flevlerini kullanarak bunu yapmak kolayd\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, farkl\u0131 basketbol tak\u0131mlar\u0131n\u0131n att\u0131\u011f\u0131 say\u0131lar\u0131n ortalamas\u0131n\u0131 ve standart sapmas\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki grafi\u011fi olu\u015fturmak i\u00e7in bu i\u015flevlerin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Diyelim ki R’de \u00fc\u00e7 farkl\u0131 tak\u0131mdan basketbolcular\u0131n att\u0131\u011f\u0131 puanlar\u0131n say\u0131s\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahibiz:<\/span><\/p>\n Her tak\u0131mdaki oyuncular\u0131n att\u0131\u011f\u0131 puanlar\u0131n ortalamas\u0131n\u0131 ve standart sapmas\u0131n\u0131 h\u0131zl\u0131 bir \u015fekilde hesaplamak i\u00e7in dplyr<\/strong> paketindeki i\u015flevleri kullanabiliriz:<\/span><\/p>\n Son olarak, her tak\u0131mdaki oyuncular\u0131n att\u0131\u011f\u0131 puanlar\u0131n ortalamas\u0131n\u0131 ve standart sapmas\u0131n\u0131 g\u00f6rselle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki ggplot2<\/strong> i\u015flevlerini kullanabiliriz:<\/span> <\/p>\n Ortaya \u00e7\u0131kan grafik, her tak\u0131mdaki oyuncular\u0131n att\u0131\u011f\u0131 puanlar\u0131n ortalamas\u0131n\u0131 ve standart sapmas\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Daireler ortalama de\u011ferleri temsil eder ve her dairenin \u00fcst\u00fcndeki ve alt\u0131ndaki \u00e7ubuklar\u0131n uzunlu\u011fu standart sapmay\u0131 temsil eder.<\/span><\/p>\n Not<\/strong> : geom_errorbar()<\/strong> i\u015flevindeki geni\u015flik<\/strong> arg\u00fcman\u0131, hata \u00e7ubuklar\u0131n\u0131n geni\u015fli\u011fini belirtir. \u00c7izimdeki hata \u00e7ubuklar\u0131n\u0131n geni\u015fli\u011fini ayarlamak i\u00e7in bu de\u011feri de\u011fi\u015ftirmekten \u00e7ekinmeyin.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimler ggplot2’de di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n Ggplot2 grafiklerine nas\u0131l efsane eklenir?<\/a> \u00c7o\u011funlukla ortalama ve standart sapmay\u0131 ggplot2’de gruba g\u00f6re \u00e7izmek isteyebilirsiniz. Neyse ki, ggplot2’deki geom_point() ve geom_errorbar() i\u015flevlerini kullanarak bunu yapmak kolayd\u0131r. A\u015fa\u011f\u0131daki \u00f6rnek, farkl\u0131 basketbol tak\u0131mlar\u0131n\u0131n att\u0131\u011f\u0131 say\u0131lar\u0131n ortalamas\u0131n\u0131 ve standart sapmas\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki grafi\u011fi olu\u015fturmak i\u00e7in bu i\u015flevlerin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir: \u00d6rnek: ggplot2’de ortalama ve standart sapman\u0131n grafi\u011finin \u00e7izilmesi Diyelim ki R’de \u00fc\u00e7 farkl\u0131 […]<\/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-3785","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n![\"ggplot2'de](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/signifie-td1.jpg\")
<\/p>\n \u00d6rnek: ggplot2’de ortalama ve standart sapman\u0131n grafi\u011finin \u00e7izilmesi<\/strong><\/span><\/h2>\n
#create data frame<\/span>\ndf <- data. frame<\/span> (team=rep(c(' A<\/span> ', ' B<\/span> ', ' C<\/span> '), each= 6<\/span> ),\n points=c(8, 10, 12, 12, 14, 15, 10, 11, 12,\n 18, 22, 24, 3, 5, 5, 6, 7, 9))\n\n#view head of data frame\n<\/span>head(df)\n\n team points\n1 to 8\n2 to 10\n3 to 12\n4 to 12\n5 to 14\n6 to 15<\/strong><\/span><\/pre>\n library<\/span> (dplyr)\n\n#calculate mean and sd of points by team\n<\/span>df_mean_std <- df %>%\n group_by(team) %>%\n summarise_at(vars(points), list(mean=mean, sd=sd)) %>% \n as. data<\/span> . frame<\/span> ()\n\n#view results\n<\/span>df_mean_std\n\n team mean sd\n1 A 11.833333 2.562551\n2 B 16.166667 6.013873\n3 C 5.833333 2.041241\n<\/strong><\/span><\/pre>\n library<\/span> (ggplot2)\n\n#plot mean and standard deviation of points by team\n<\/span>ggplot(df_mean_std, aes(x=team, y=mean)) + \n geom_errorbar(aes(ymin=mean-sd, ymax=mean+sd), width= .3<\/span> ) +\n geom_point(size= 2<\/span> )<\/strong><\/span> <\/pre>\n<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Ggplot2’de yaz\u0131 tipi boyutu nas\u0131l de\u011fi\u015ftirilir?<\/a>
Ggplot2’de bir efsane nas\u0131l kald\u0131r\u0131l\u0131r<\/a>
Ggplot2’de eksen etiketleri nas\u0131l d\u00f6nd\u00fcr\u00fcl\u00fcr<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"