A\u015fa\u011f\u0131daki \u00f6rnekler, table()<\/strong> ve as.table()<\/strong> i\u015flevlerini kullanarak R’deki tablolar\u0131n nas\u0131l yazd\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Konum<\/strong> s\u00fctunundaki her benzersiz de\u011ferin say\u0131s\u0131n\u0131 \u00f6zetlemek i\u00e7in table()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Tabloda konum s\u00fctununda \u201c\u0130leri\u201dnin 4 kez, \u201cKoruma\u201dn\u0131n ise 5 kez g\u00f6r\u00fcnd\u00fc\u011f\u00fcn\u00fc g\u00f6r\u00fcyoruz.<\/span><\/p>\n Buna tek y\u00f6nl\u00fc tablo<\/strong> denir \u00e7\u00fcnk\u00fc tek bir de\u011fi\u015fkeni \u00f6zetler.<\/span><\/p>\n Tekrar R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/span><\/p>\n Ekip<\/strong> ve konum<\/strong> s\u00fctunlar\u0131ndaki her benzersiz de\u011ferin say\u0131s\u0131n\u0131 \u00f6zetlemek i\u00e7in table()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Tablodan \u015funlar\u0131 g\u00f6rebiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n Buna \u00e7ift y\u00f6nl\u00fc tablo<\/strong> denir \u00e7\u00fcnk\u00fc iki de\u011fi\u015fkenin say\u0131s\u0131n\u0131 \u00f6zetler.<\/span><\/p>\n Bir diziye doldurmak istedi\u011fimiz de\u011ferleri zaten bildi\u011fimizi varsayal\u0131m.<\/span><\/p>\n \u00d6rne\u011fin R’de 100 ki\u015fiye hangi sporu tercih ettiklerini soran bir anketin sonu\u00e7lar\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki tabloyu olu\u015fturmak istedi\u011fimizi varsayal\u0131m:<\/span> <\/p>\n Bu tabloyu h\u0131zl\u0131 bir \u015fekilde olu\u015fturmak i\u00e7in R’deki as.table()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Dizideki de\u011ferler daha \u00f6nce g\u00f6rd\u00fc\u011f\u00fcm\u00fcz dizideki de\u011ferlere kar\u015f\u0131l\u0131k geliyor.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de iki y\u00f6nl\u00fc bir tablo nas\u0131l olu\u015fturulur<\/a> Genellikle bir veri k\u00fcmesinin de\u011ferlerini \u00f6zetlemek i\u00e7in R’deki konsola bir tablo yazd\u0131rmak isteyebilirsiniz. A\u015fa\u011f\u0131daki \u00f6rnekler, table() ve as.table() i\u015flevlerini kullanarak R’deki tablolar\u0131n nas\u0131l yazd\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek 1: Verilerden tek y\u00f6nl\u00fc bir tablo yazd\u0131rma R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m: #create data frame df <- data. frame (team=c(‘A’, ‘A’, ‘A’, ‘B’, ‘B’, ‘B’, ‘C’, ‘C’, […]<\/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-3290","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek 1: Verilerden tek y\u00f6nl\u00fc bir tablo yazd\u0131rma<\/span><\/strong><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C'),\n position=c('Guard', 'Guard', 'Forward', 'Guard', 'Forward',\n 'Forward', 'Guard', 'Guard', 'Forward'),\n points=c(14, 12, 15, 20, 22, 36, 10, 16, 19))\n\n#view data frame\n<\/span>df\n\n team position points\n1 A Guard 14\n2 A Guard 12\n3 A Forward 15\n4 B Guard 20\n5B Forward 22\n6 B Forward 36\n7 C Guard 10\n8 C Guard 16\n9 C Forward 19<\/strong><\/pre>\n #create table for 'position' variable\n<\/span>table1 <- table(df$position)\n\n#view table\n<\/span>table1\n\nForward Guard \n 4 5\n<\/strong><\/span><\/pre>\n \u00d6rnek 2: Verilerden \u00e7ift y\u00f6nl\u00fc bir dizi yazd\u0131rma<\/span><\/strong><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C'),\n position=c('Guard', 'Guard', 'Forward', 'Guard', 'Forward',\n 'Forward', 'Guard', 'Guard', 'Forward'),\n points=c(14, 12, 15, 20, 22, 36, 10, 16, 19))\n\n#view data frame\n<\/span>df\n\n team position points\n1 A Guard 14\n2 A Guard 12\n3 A Forward 15\n4 B Guard 20\n5B Forward 22\n6 B Forward 36\n7 C Guard 10\n8 C Guard 16\n9 C Forward 19<\/strong><\/pre>\n #create two-way table for 'team' and 'position' variables\n<\/span>table2 <- table(df$team, df$position)\n\n#view table\n<\/span>table2\n\n Forward Guard\n AT 12\n B 2 1\n C 1 2\n<\/strong><\/pre>\n\n
\u00d6rnek 3: S\u0131f\u0131rdan bir tablo yazd\u0131rma<\/span><\/strong><\/h2>\n
![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/jointfreq1.png\")
<\/p>\n #create matrix\n<\/span>data <- matrix(c(13, 23, 15, 16, 20, 13), ncol= 3<\/span> )\n\n#specify row and column names of matrix\n<\/span>rownames(data) <- c('Male', 'Female')\ncolnames(data) <- c('Baseball', 'Basketball', 'Football')<\/span>\n\n#convert matrix to table\n<\/span>data <- as. table<\/span> (data)\n\n#displaytable\n<\/span>data\n\n Baseball Basketball Football\nMale 13 15 20\nFemale 23 16 13<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de bir beklenmedik durum tablosu nas\u0131l olu\u015fturulur<\/a>
Birden \u00e7ok veri tablosu olu\u015fturmak i\u00e7in R’de rbindlist nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"