<\/p>\n
S\u00fcrekli bir de\u011fi\u015fkenden kategorik bir de\u011fi\u015fken olu\u015fturmak i\u00e7in R’deki Cut()<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n Break’lerin<\/strong> s\u00fcrekli de\u011fi\u015fkenin b\u00f6l\u00fcnece\u011fi de\u011ferleri, labels’\u0131n ise<\/strong> yeni kategorik de\u011fi\u015fkenin de\u011ferlerine verilecek etiketi belirtti\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\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 \u015eu anda puanlar<\/strong> s\u00fcrekli bir de\u011fi\u015fkendir.<\/span><\/p>\n Kategorik bir de\u011fi\u015fkene ay\u0131rmak i\u00e7in Cut()<\/strong> fonksiyonunu kullanabiliriz:<\/span><\/p>\n Kedi<\/strong> ad\u0131nda, veri \u00e7er\u00e7evesindeki her tak\u0131m\u0131 puanlar\u0131na<\/strong> g\u00f6re K\u00f6t\u00fc, Tamam, \u0130yi veya M\u00fckemmel olarak s\u0131ralayan yeni bir kategorik de\u011fi\u015fken olu\u015fturduk.<\/span><\/p>\n Bu yeni de\u011fi\u015fkenin s\u0131n\u0131f\u0131n\u0131 kontrol etmek i\u00e7in class()<\/strong> fonksiyonunu kullanabiliriz:<\/span><\/p>\n cat<\/strong> de\u011fi\u015fkeninin bir fakt\u00f6r oldu\u011funu g\u00f6r\u00fcyoruz.<\/span><\/p>\n cat<\/strong> de\u011fi\u015fkenindeki her bir kategorinin olu\u015fumlar\u0131n\u0131 saymak i\u00e7in table()<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n Cut()<\/strong> i\u015flevine bir labels<\/strong> arg\u00fcman\u0131 sa\u011flamazsan\u0131z, R’nin etiket olarak yaln\u0131zca aral\u0131k de\u011ferleri aral\u0131\u011f\u0131n\u0131 kullanaca\u011f\u0131n\u0131 unutmay\u0131n:<\/span><\/p>\n Baz\u0131 durumlarda bunu \u00f6zel etiketler kullanmaya tercih edebilirsiniz.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de kategorik de\u011fi\u015fkenler say\u0131sala nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a> S\u00fcrekli bir de\u011fi\u015fkenden kategorik bir de\u011fi\u015fken olu\u015fturmak i\u00e7in R’deki Cut() i\u015flevini kullanabilirsiniz. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: df$cat_variable <- cut(df$continuous_variable, breaks=c(5, 10, 15, 20, 25), labels=c(‘ A ‘, ‘ B ‘, ‘ C ‘, ‘ D ‘)) Break’lerin s\u00fcrekli de\u011fi\u015fkenin b\u00f6l\u00fcnece\u011fi de\u011ferleri, labels’\u0131n ise yeni kategorik de\u011fi\u015fkenin de\u011ferlerine verilecek etiketi belirtti\u011fini unutmay\u0131n. A\u015fa\u011f\u0131daki \u00f6rnek, […]<\/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-2575","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df$cat_variable <- cut(df$continuous_variable,\n breaks=c(5, 10, 15, 20, 25),\n labels=c(' A<\/span> ', ' B<\/span> ', ' C<\/span> ', ' D<\/span> '))\n<\/strong><\/pre>\n \u00d6rnek: R’deki s\u00fcreklilikten kategorik bir de\u011fi\u015fken olu\u015fturmak<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'),\n points=c(78, 82, 86, 94, 99, 104, 109, 110))\n\n#view data frame\n<\/span>df\n\n team points\n1 To 78\n2 B 82\n3 C 86\n4 D 94\n5 E 99\n6 F 104\n7 G 109\n8:11 a.m.\n<\/span><\/span><\/strong><\/pre>\n #add new column that cuts 'points' into categories\n<\/span>df$cat <- cut(df$points,\n breaks=c(70, 80, 90, 100, 110),\n labels=c('Bad', 'OK', 'Good', 'Great'))\n\n#view updated data frame\n<\/span>df\n\n team points cat\n1 To 78 Bad\n2 B 82 OK\n3 C 86 OK\n4 D 94 Good\n5 E 99 Good\n6 F 104 Great\n7 G 109 Great\n8:110 Great<\/span><\/span><\/strong><\/pre>\n #check class of 'cat' column\n<\/span>class(df$cat)\n\n[1] \u201cfactor\u201d\n<\/span><\/span><\/strong><\/pre>\n #count occurrences of each category in 'cat' variable<\/span>\ntable(df$cat)\n Bad OK Good Great \n 1 2 2 3<\/span><\/span><\/strong><\/pre>\n #add new column that cuts 'points' into categories\n<\/span>df$cat <- cut(df$points, breaks=c(70, 80, 90, 100, 110))\n\n#view updated data frame<\/span>\ndf\n\n team points cat\n1 A 78 (70.80]\n2 B 82 (80.90]\n3 C 86 (80.90]\n4 D 94 (90,100]\n5 E 99 (90,100]\n6 F 104 (100,110]\n7 G 109 (100,110]\n8:110 (100,110]\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de kategorik de\u011fi\u015fkenler nas\u0131l olu\u015fturulur?<\/a>
R’de kategorik veriler nas\u0131l \u00e7izilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"