<\/p>\n
R’derastgele bir \u00f6rnek<\/a> se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanan sample()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n \u00f6rnek(x, boyut, de\u011fi\u015ftir=YANLI\u015e, prob=BO\u015e)<\/span><\/strong><\/p>\n Alt\u0131n:<\/span><\/p>\n Bu e\u011fitimde, R’de hem bir vekt\u00f6rden hem de bir veri \u00e7er\u00e7evesinden rastgele bir \u00f6rnek se\u00e7mek i\u00e7in bu i\u015flevin nas\u0131l kullan\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir vekt\u00f6rden rastgele bir \u00f6rne\u011fin de\u011fi\u015ftirilmeden<\/strong> nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir vekt\u00f6rden de\u011fi\u015ftirilerek<\/strong> rastgele bir \u00f6rne\u011fin nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir veri \u00e7er\u00e7evesinden rastgele bir \u00f6rne\u011fin nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n \u0130\u015fte bu kod par\u00e7as\u0131nda neler oluyor:<\/span><\/p>\n 1.<\/strong> R’de bir veri \u00e7er\u00e7evesinin alt k\u00fcmesini se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6z dizimini kullan\u0131r\u0131z: df[sat\u0131rlar, s\u00fctunlar]<\/span><\/p>\n 2.<\/strong> Yukar\u0131daki kodda veri \u00e7er\u00e7evesinden ve t\u00fcm<\/em> s\u00fctunlardan rastgele 3 sat\u0131rl\u0131k bir \u00f6rnek se\u00e7iyoruz.<\/span><\/p>\n 3.<\/strong> Nihai sonu\u00e7, veri \u00e7er\u00e7evesinin rastgele se\u00e7ilen 3 sat\u0131rdan olu\u015fan bir alt k\u00fcmesidir.<\/span><\/p>\n Sample()<\/strong> fonksiyonunu her kulland\u0131\u011f\u0131m\u0131zda, fonksiyon de\u011ferleri rastgele se\u00e7ti\u011fi i\u00e7in R’nin farkl\u0131 bir \u00f6rnek se\u00e7ece\u011fini unutmamak \u00f6nemlidir.<\/span><\/p>\n Belirli analizlerin sonu\u00e7lar\u0131n\u0131 yeniden olu\u015fturmak i\u00e7in set.seed(bir say\u0131)<\/strong> kulland\u0131\u011f\u0131n\u0131zdan emin olun, b\u00f6ylece sample() i\u015flevi her seferinde ayn\u0131 rastgele \u00f6rne\u011fi se\u00e7er. \u00d6rne\u011fin:<\/span><\/p>\n Yukar\u0131daki kodu her \u00e7al\u0131\u015ft\u0131rd\u0131\u011f\u0131n\u0131zda, her seferinde veri \u00e7er\u00e7evesinin ayn\u0131 3 sat\u0131r\u0131 se\u00e7ilecektir.<\/span><\/p>\n R’de Tabakal\u0131 \u00d6rnekleme (\u00d6rneklerle)<\/a> R’derastgele bir \u00f6rnek se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanan sample() i\u015flevini kullanabiliriz: \u00f6rnek(x, boyut, de\u011fi\u015ftir=YANLI\u015e, prob=BO\u015e) Alt\u0131n: x: aralar\u0131ndan se\u00e7im yap\u0131labilecek \u00f6\u011felerin vekt\u00f6r\u00fc. boyut: \u00f6rnek boyutu. de\u011fi\u015ftirme: de\u011fi\u015ftirmeyle numune al\u0131n\u0131p al\u0131nmayaca\u011f\u0131. Varsay\u0131lan de\u011fer false’tur. prob: vekt\u00f6rden elemanlar\u0131 elde etmek i\u00e7in olas\u0131l\u0131k a\u011f\u0131rl\u0131klar\u0131n\u0131n vekt\u00f6r\u00fc. Varsay\u0131lan NULL’dur. Bu e\u011fitimde, R’de hem bir vekt\u00f6rden hem de bir veri \u00e7er\u00e7evesinden […]<\/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-1139","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n\n
\u00d6rnek 1: Bir vekt\u00f6rden rastgele \u00f6rnek<\/strong><\/span><\/h3>\n
#create vector of data<\/span>\ndata <- c(1, 3, 5, 6, 7, 8, 10, 11, 12, 14)\n\n#select random sample of 5 elements without replacement\n<\/span>sample(x=data, size=5)\n\n[1] 10 12 5 14 7\n<\/strong><\/pre>\n #create vector of data<\/span>\ndata <- c(1, 3, 5, 6, 7, 8, 10, 11, 12, 14)\n\n#select random sample of 5 elements with replacement\n<\/span>sample(x=data, size=5, replace= TRUE<\/span> )\n\n[1] 12 1 1 6 14<\/strong><\/pre>\n \u00d6rnek 2: Bir veri blo\u011fundan rastgele \u00f6rnek<\/strong><\/span><\/h3>\n
#create data frame<\/span>\ndf <- data.frame(x=c(3, 5, 6, 6, 8, 12, 14),\n y=c(12, 6, 4, 23, 25, 8, 9),\n z=c(2, 7, 8, 8, 15, 17, 29))\n\n#view data frame \n<\/span>df\n\n X Y Z\n1 3 12 2\n2 5 6 7\n3 6 4 8\n4 6 23 8\n5 8 25 15\n6 12 8 17\n7 14 9 29\n\n#select random sample of three rows from data frame<\/span>\nrand_df <- df[ sample<\/span> ( nrow<\/span> (df), size= 3<\/span> ), ]\n\n#display randomly selected rows\nrand_df\n\n X Y Z\n4 6 23 8\n7 14 9 29\n1 3 12 2\n<\/span><\/span><\/strong><\/pre>\n #make this example reproducible\nset.seed(23)<\/span>\n\n#create data frame<\/span>\ndf <- data.frame(x=c(3, 5, 6, 6, 8, 12, 14),\n y=c(12, 6, 4, 23, 25, 8, 9),\n z=c(2, 7, 8, 8, 15, 17, 29))\n\n#select random sample of three rows from data frame<\/span>\nrand_df <- df[ sample<\/span> ( nrow<\/span> (df), size= 3<\/span> ), ]\n\n#display randomly selected rows\nrand_df\n\n X Y Z\n5 8 25 15\n2 5 6 7\n6 12 8 17<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de Sistematik \u00d6rnekleme (\u00d6rneklerle)
R’de K\u00fcme \u00d6rneklemesi: \u00d6rneklerle<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"