{"id":958,"date":"2023-07-28T04:47:06","date_gmt":"2023-07-28T04:47:06","guid":{"rendered":"https:\/\/statorials.org\/tr\/dplyr-bagil-frekanslari\/"},"modified":"2023-07-28T04:47:06","modified_gmt":"2023-07-28T04:47:06","slug":"dplyr-bagil-frekanslari","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/dplyr-bagil-frekanslari\/","title":{"rendered":"Dplyr kullan\u0131larak g\u00f6receli frekanslar nas\u0131l hesaplan\u0131r?"},"content":{"rendered":"

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Genellikle R’deki bir veri \u00e7er\u00e7evesinin bir veya daha fazla s\u00fctunundaki de\u011ferlerin g\u00f6receli frekanslar\u0131n\u0131\/oranlar\u0131n\u0131 hesaplamak isteyebilirsiniz.<\/span><\/p>\n

Neyse ki dplyr<\/a> paketindeki i\u015flevleri kullanarak bunu yapmak kolayd\u0131r. Bu e\u011fitimde, a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesinde g\u00f6receli frekanslar\u0131 hesaplamak i\u00e7in bu i\u015flevlerin nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir:<\/span><\/p>\n

 #create data frame<\/span>\ndf <- data.frame(team = c('A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 position = c('G', 'F', 'F', 'G', 'G', 'G', 'F'),\n                 points = c(12, 15, 19, 22, 32, 34, 39))\n\n#view data frame\n<\/span>df\n\n  team position points\n1 AG 12\n2 AF15\n3 FY 19\n4 BG 22\n5 BG 32\n6 BG 34\n7 BF 39\n<\/strong><\/pre>\n
 \u00d6rnek 1: Bir de\u011fi\u015fkenin ba\u011f\u0131l frekans\u0131<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, veri \u00e7er\u00e7evesindeki her tak\u0131m\u0131n g\u00f6receli s\u0131kl\u0131\u011f\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 library(dplyr)\n\ndf %>%\n  group_by<\/span> (team) %>%\n  summarize<\/span> (n = n()) %>%\n  mutate<\/span> (freq = n \/ sum(n))\n\n# A tibble: 2 x 3\n  team n freq\n    \n1 to 3 0.429\n2 B 4 0.571\n<\/strong><\/pre>\n
 Bu bize A Tak\u0131m\u0131n\u0131n veri \u00e7er\u00e7evesindeki t\u00fcm sat\u0131rlar\u0131n %42,9’unu, B Tak\u0131m\u0131n\u0131n ise kalan %57,1’ini olu\u015fturdu\u011funu g\u00f6sterir. Toplamlar\u0131n\u0131n %100’e kadar \u00e7\u0131kt\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n
 \u00d6rnek 2: Birka\u00e7 de\u011fi\u015fkenin ba\u011f\u0131l frekans\u0131<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, tak\u0131m ba\u015f\u0131na<\/em> pozisyonlar\u0131n g\u00f6receli s\u0131kl\u0131\u011f\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 library(dplyr)\n\ndf %>%\n  group_by<\/span> (team, position) %>%\n  summarize<\/span> (n = n()) %>%\n  mutate<\/span> (freq = n \/ sum(n))\n\n# A tibble: 4 x 4\n# Groups: team [2]\n  team position n freq\n       \n1 AF 2 0.667\n2 AG 1 0.333\n3 BF 1 0.250\n4 BG 3 0.750\n<\/strong><\/pre>\n
 Bu bize \u015funu s\u00f6yl\u00fcyor:<\/span><\/p>\n
 \u0130lgili:<\/strong> Tam K\u0131lavuz: R’de Veriler Nas\u0131l Grupland\u0131r\u0131l\u0131r ve \u00d6zetlenir<\/a><\/span><\/p>\n