![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/foretplotr3.png\")
<\/p>\n
\u00c7ay<\/span><\/p>\n Bu grafik t\u00fcr\u00fc, birden fazla \u00e7al\u0131\u015fman\u0131n sonu\u00e7lar\u0131n\u0131 ayn\u0131 anda g\u00f6r\u00fcnt\u00fclemek i\u00e7in uygun bir yol sa\u011flar.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, R’de bir orman grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n R’de bir orman grafi\u011fi olu\u015fturmak i\u00e7in \u00f6ncelikle her \u00e7al\u0131\u015fma i\u00e7in etki b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc (veya ilgilenilen di\u011fer de\u011feri) ve \u00fcst ve alt g\u00fcven aral\u0131klar\u0131n\u0131 i\u00e7eren bir veri \u00e7er\u00e7evesi olu\u015fturmam\u0131z gerekir:<\/span><\/p>\n Daha sonra, a\u015fa\u011f\u0131daki orman grafi\u011fini olu\u015fturmak i\u00e7in ggplot2 veri g\u00f6rselle\u015ftirme paketinin i\u015flevlerini kullanabiliriz:<\/span> <\/p>\n X ekseni her \u00e7al\u0131\u015fman\u0131n etki b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc, y ekseni ise her \u00e7al\u0131\u015fman\u0131n ad\u0131n\u0131 g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n Grafikteki noktalar her bir \u00e7al\u0131\u015fmaya ili\u015fkin etki b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc, hata \u00e7ubuklar\u0131 ise g\u00fcven aral\u0131\u011f\u0131n\u0131n s\u0131n\u0131rlar\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Grafi\u011fin daha iyi g\u00f6r\u00fcnmesini sa\u011flamak i\u00e7in ayr\u0131ca bir ba\u015fl\u0131k ekleyebilece\u011fimizi, eksen etiketlerini de\u011fi\u015ftirebilece\u011fimizi ve etki boyutu s\u0131f\u0131r olan dikey bir \u00e7izgi ekleyebilece\u011fimizi unutmay\u0131n:<\/span> <\/p>\n \u0130stedi\u011finiz gibi g\u00f6r\u00fcnmesi i\u00e7in arsan\u0131n temas\u0131n\u0131 de\u011fi\u015ftirmekten \u00e7ekinmeyin. \u00d6rne\u011fin, daha da klasik bir g\u00f6r\u00fcn\u00fcm i\u00e7in theme_classic() i\u015flevini<\/strong> de kullanabiliriz:<\/span> <\/p>\n Excel’de orman grafi\u011fi nas\u0131l olu\u015fturulur<\/a> Bir meta-analizde birden fazla \u00e7al\u0131\u015fman\u0131n sonu\u00e7lar\u0131n\u0131 tek bir grafikte g\u00f6rselle\u015ftirmek i\u00e7in bir orman grafi\u011fi (bazen “blobbogram” olarak da adland\u0131r\u0131l\u0131r) kullan\u0131l\u0131r. \u00c7ay Bu grafik t\u00fcr\u00fc, birden fazla \u00e7al\u0131\u015fman\u0131n sonu\u00e7lar\u0131n\u0131 ayn\u0131 anda g\u00f6r\u00fcnt\u00fclemek i\u00e7in uygun bir yol sa\u011flar. A\u015fa\u011f\u0131daki \u00f6rnek, R’de bir orman grafi\u011finin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: R’deki orman grafi\u011fi R’de bir orman grafi\u011fi olu\u015fturmak i\u00e7in […]<\/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-1640","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek: R’deki orman grafi\u011fi<\/strong><\/span><\/h3>\n
#create data<\/span>\ndf <- data. frame<\/span> (study=c('S1', 'S2', 'S3', 'S4', 'S5', 'S6', 'S7'),\n index=1:7,\n effect=c(-.4, -.25, -.1, .1, .15, .2, .3),\n lower=c(-.43, -.29, -.17, -.02, .04, .17, .27),\n upper=c(-.37, -.21, -.03, .22, .24, .23, .33))\n\n#view data<\/span>\nhead(df)\n\n study index effect lower upper\n1 S1 1 -0.40 -0.43 -0.37\n2 S2 2 -0.25 -0.29 -0.21\n3 S3 3 -0.10 -0.17 -0.03\n4 S4 4 0.10 -0.02 0.22\n5 S5 5 0.15 0.04 0.24\n6 S6 6 0.20 0.17 0.23\n7 S7 7 0.30 0.27 0.33<\/strong><\/pre>\n #load ggplot2\n<\/span>library<\/span> (ggplot2)\n\n#create forest plot<\/span>\nggplot(data=df, aes<\/span> (y=index, x=effect, xmin=lower, xmax=upper)) +\n geom_point() + \n geom_errorbarh(height= .1<\/span> ) +\n scale_y_continuous(name = \"\", breaks=1: nrow<\/span> (df), labels=df$study)<\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/foretplotr1.png\")
<\/p>\n #load ggplot2\n<\/span>library<\/span> (ggplot2)\n\n#create forest plot<\/span>\nggplot(data=df, aes<\/span> (y=index, x=effect, xmin=lower, xmax=upper)) +\n geom_point() + \n geom_errorbarh(height= .1<\/span> ) +\n scale_y_continuous(breaks=1: nrow<\/span> (df), labels=df$study) +\n labs(title=' Effect Size by Study<\/span> ', x=' Effect Size<\/span> ', y = ' Study<\/span> ') +\n geom_vline(xintercept=0, color=' black<\/span> ', linetype=' dashed<\/span> ', alpha= .5<\/span> ) +\n theme_minimal()<\/strong> <\/pre>\n![\"R'deki](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/foretplotr2.png\")
<\/p>\n #load ggplot2\n<\/span>library<\/span> (ggplot2)\n\n#create forest plot<\/span>\nggplot(data=df, aes<\/span> (y=index, x=effect, xmin=lower, xmax=upper)) +\n geom_point() + \n geom_errorbarh(height= .1<\/span> ) +\n scale_y_continuous(breaks=1: nrow<\/span> (df), labels=df$study) +\n labs(title=' Effect Size by Study<\/span> ', x=' Effect Size<\/span> ', y = ' Study<\/span> ') +\n geom_vline(xintercept=0, color=' black<\/span> ', linetype=' dashed<\/span> ', alpha= .5<\/span> ) +\n theme_classic()<\/strong> <\/pre>\n<\/p>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
En iyi ggplot2 temalar\u0131 i\u00e7in eksiksiz bir rehber<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"