<\/p>\n
R’de h\u0131zl\u0131 bir \u015fekilde tablo olu\u015fturman\u0131n iki yolu vard\u0131r:<\/span><\/p>\n Y\u00f6ntem 1: Mevcut verilerden bir tablo olu\u015fturun.<\/strong><\/span><\/p>\n Y\u00f6ntem 2: S\u0131f\u0131rdan bir tablo olu\u015fturun.<\/strong><\/span><\/p>\n Bu e\u011fitimde, bu y\u00f6ntemlerin her birini kullanarak tablo olu\u015fturman\u0131n bir \u00f6rne\u011fi g\u00f6sterilmektedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, mevcut verilerden nas\u0131l tablo olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu tablo her tak\u0131m\u0131n ve pozisyon kombinasyonunun frekanslar\u0131n\u0131 g\u00f6sterir. \u00d6rne\u011fin:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, s\u0131f\u0131rdan 4 s\u00fctun ve 2 sat\u0131rdan olu\u015fan bir tablonun nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu tablonun \u00f6nceki \u00f6rnekte olu\u015fturulan tabloyla tamamen ayn\u0131 oldu\u011funu unutmay\u0131n.<\/span><\/p>\n R’de s\u00fctun adlar\u0131 \u00fczerinde yineleme nas\u0131l yap\u0131l\u0131r<\/a> R’de h\u0131zl\u0131 bir \u015fekilde tablo olu\u015fturman\u0131n iki yolu vard\u0131r: Y\u00f6ntem 1: Mevcut verilerden bir tablo olu\u015fturun. tab <- table (df$row_variable, df$column_variable) Y\u00f6ntem 2: S\u0131f\u0131rdan bir tablo olu\u015fturun. tab <- matrix (c(7, 5, 14, 19, 3, 2, 17, 6, 12), ncol= 3 , byrow= TRUE ) colnames(tab) <- c(‘colName1′,’colName2′,’colName3’) rownames(tab) <- c(‘rowName1′,’rowName2′,’rowName3’) tab <- as.table (tab) […]<\/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-1134","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n tab <- table<\/span> (df$row_variable, df$column_variable)\n<\/strong><\/pre>\n tab <- matrix<\/span> (c(7, 5, 14, 19, 3, 2, 17, 6, 12), ncol= 3<\/span> , byrow= TRUE<\/span> )\ncolnames(tab) <- c('colName1','colName2','colName3')\nrownames(tab) <- c('rowName1','rowName2','rowName3')\ntab <- as.table<\/span> (tab)\n<\/strong><\/pre>\n Mevcut verilerden tablo olu\u015fturma<\/strong><\/span><\/h3>\n
#make this example reproducible<\/span>\nset.seed(1)\n\n#define data\ndf <- data.frame(team= rep<\/span> (c(' A<\/span> ', ' B<\/span> ', ' C<\/span> ', ' D<\/span> '), each= 4<\/span> ),\n pos= rep<\/span> (c(' G<\/span> ', ' F<\/span> '), times= 8<\/span> ),\n points= round<\/span> (runif(16, 4, 20), 0<\/span> ))\n\n#view head of data \n<\/span>head(df)\n\n team pos points\n1 GA 8\n2 AF10\n3 AG 13\n4 FY19\n5 BG 7\n6 BF 18\n\n#create table with 'position' as rows and 'team' as columns<\/span>\ntab1 <- table(df$pos, df$team)\ntab1\n\n ABCD\nF 2 2 2 2\nG 2 2 2 2<\/span><\/span>\n<\/strong><\/pre>\n\n
S\u0131f\u0131rdan bir tablo olu\u015fturun<\/strong><\/span><\/h3>\n
#create matrix with 4 columns<\/span>\ntab <- matrix( rep<\/span> (2, times= 8<\/span> ), ncol= 4<\/span> , byrow= TRUE<\/span> )\n\n#define column names and row names of matrix\n<\/span>colnames(tab) <- c(' A<\/span> ', ' B<\/span> ', ' C<\/span> ', ' D<\/span> ')\nrownames(tab) <- c(' F<\/span> ', ' G<\/span> ')\n\n#convert matrix to table<\/span>\ntab <- as.table<\/span> (tab)\n\n#view table<\/span> \ntab\n\n ABCD\nF 2 2 2 2\nG 2 2 2 2<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de bo\u015f bir veri \u00e7er\u00e7evesi nas\u0131l olu\u015fturulur<\/a>
R’de bir veri \u00e7er\u00e7evesine sat\u0131rlar nas\u0131l eklenir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"