<\/p>\n
Bir beklenmedik durum tablosu<\/strong> (bazen “\u00e7apraz tablolar” olarak da adland\u0131r\u0131l\u0131r), iki kategorik de\u011fi\u015fken aras\u0131ndaki ili\u015fkiyi \u00f6zetleyen bir tablo t\u00fcr\u00fcd\u00fcr.<\/span><\/p>\n Neyse ki, pivot tablo i\u015flevini kullanarak R’deki de\u011fi\u015fkenler i\u00e7in bir beklenmedik durum tablosu olu\u015fturmak kolayd\u0131r. Bu e\u011fitimde bunun nas\u0131l yap\u0131laca\u011f\u0131na dair bir \u00f6rnek g\u00f6sterilmektedir.<\/span><\/p>\n Sat\u0131n al\u0131nan \u00fcr\u00fcn\u00fcn t\u00fcr\u00fc ve \u00fcr\u00fcn\u00fcn sat\u0131n al\u0131nd\u0131\u011f\u0131 \u00fclke de dahil olmak \u00fczere 20 farkl\u0131 \u00fcr\u00fcn sipari\u015fiyle ilgili bilgileri g\u00f6r\u00fcnt\u00fcleyen a\u015fa\u011f\u0131daki veri k\u00fcmesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Bir beklenmedik durum tablosu olu\u015fturmak i\u00e7in basit\u00e7e table()<\/strong> i\u015flevini kullanabilir ve \u00fcr\u00fcn ve \u00fclke de\u011fi\u015fkenlerini arg\u00fcman olarak sa\u011flayabiliriz:<\/span><\/p>\n Tabloya kenar bo\u015fluklar\u0131 eklemek i\u00e7in addmargins()<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n Tabloyu \u015fu \u015fekilde yorumlayabilirsiniz:<\/span><\/p>\n R’deki s\u00fctunlar\u0131n ortalamas\u0131 nas\u0131l al\u0131n\u0131r?<\/a> Bir beklenmedik durum tablosu (bazen “\u00e7apraz tablolar” olarak da adland\u0131r\u0131l\u0131r), iki kategorik de\u011fi\u015fken aras\u0131ndaki ili\u015fkiyi \u00f6zetleyen bir tablo t\u00fcr\u00fcd\u00fcr. Neyse ki, pivot tablo i\u015flevini kullanarak R’deki de\u011fi\u015fkenler i\u00e7in bir beklenmedik durum tablosu olu\u015fturmak kolayd\u0131r. Bu e\u011fitimde bunun nas\u0131l yap\u0131laca\u011f\u0131na dair bir \u00f6rnek g\u00f6sterilmektedir. \u00d6rnek: R’deki beklenmedik durum tablosu Sat\u0131n al\u0131nan \u00fcr\u00fcn\u00fcn t\u00fcr\u00fc ve \u00fcr\u00fcn\u00fcn sat\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-1352","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek: R’deki beklenmedik durum tablosu<\/strong><\/span><\/h3>\n
#create data<\/span>\ndf <- data.frame(order_num = 1:20,\n product= rep<\/span> (c(' TV<\/span> ', ' Radio<\/span> ', ' Computer<\/span> '), times<\/span> =c(9, 6, 5)),\n country= rep<\/span> (c(' A<\/span> ', ' B<\/span> ', ' C<\/span> ', ' D<\/span> '), times<\/span> =5))\n\n#view data\n<\/span>df\n\n order_num product country\n1 1 TV A\n2 2 TV B\n3 3 TV C\n4 4 TV D\n5 5 TV A\n6 6 TV B\n7 7 TV C\n8 8 TV D\n9 9 TV A\n10 10 Radio B\n11 11 Radio C\n12 12 Radio D\n13 13 Radio A\n14 14 Radio B\n15 15 Radio C\n16 16 Computer D\n17 17 Computer A\n18 18 Computer B\n19 19 Computer C\n20 20 Computer D<\/strong><\/pre>\n #create contingency table<\/span>\ntable <- table(df$product, df$country)\n\n#view contingency table\n<\/span>table\n\n ABCD\n Computer 1 1 1 2\n Radio 1 2 2 1\n TV 3 2 2 2\n<\/strong><\/pre>\n #add margins to contingency table<\/span>\ntable_w_margins <- addmargins(table)\n\n#view contingency table\n<\/span>table_w_margins\n\n ABCD Sum\n Computer 1 1 1 2 5\n Radio 1 2 2 1 6\n TV 3 2 2 2 9\n Sum 5 5 5 5 20\n<\/strong><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de belirli s\u00fctunlar nas\u0131l toplan\u0131r<\/a>
R’de birden fazla s\u00fctunun ortalamas\u0131 nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"