<\/p>\n
R’de veri grupland\u0131rmay\u0131 ger\u00e7ekle\u015ftirmek i\u00e7in iki y\u00f6ntemden birini kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Cut() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: ntile() i\u015flevini kullan\u0131n<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, her y\u00f6ntemin pratikte a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, belirli kesme i\u015faretleriyle Cut()<\/strong> i\u015flevini kullanarak puan<\/strong> de\u011fi\u015fkeninde veri grupland\u0131rman\u0131n nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n Veri \u00e7er\u00e7evesindeki her sat\u0131r\u0131n, nokta s\u00fctununun de\u011ferine g\u00f6re \u00fc\u00e7 gruptan birine yerle\u015ftirildi\u011fini unutmay\u0131n.<\/span><\/p>\n Nokta<\/strong> s\u00fctununun minimum de\u011ferinden maksimum de\u011ferine kadar e\u015fit geni\u015flikte kutular olu\u015fturmak i\u00e7in kullan\u0131lacak atlama say\u0131s\u0131n\u0131 da belirtebiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, belirli say\u0131da sonu\u00e7 grubuyla ntile()<\/strong> i\u015flevini kullanarak point<\/strong> de\u011fi\u015fkeninde veri grupland\u0131rman\u0131n nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini g\u00f6sterir:<\/span><\/p>\n Her sat\u0131ra, nokta<\/strong> s\u00fctunu de\u011ferine g\u00f6re 1’den 3’e kadar bir kutu atand\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Bin aral\u0131\u011f\u0131n\u0131 belirten bir aral\u0131k yerine her sat\u0131rda bir tamsay\u0131 de\u011ferinin g\u00f6r\u00fcnt\u00fclenmesini istedi\u011finizde ntile()<\/strong> i\u015flevini kullanmak en iyisidir.<\/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’deki veri \u00e7er\u00e7evesindeki de\u011ferler ko\u015fullu olarak nas\u0131l de\u011fi\u015ftirilir?<\/a> R’de veri grupland\u0131rmay\u0131 ger\u00e7ekle\u015ftirmek i\u00e7in iki y\u00f6ntemden birini kullanabilirsiniz: Y\u00f6ntem 1: Cut() i\u015flevini kullan\u0131n library (dplyr) #perform binning with custom breaks df %>% mutate(new_bin = cut(variable_name, breaks=c(0, 10, 20, 30))) #perform binning with specific number of bins df %>% mutate(new_bin = cut(variable_name, breaks= 3 )) Y\u00f6ntem 2: ntile() i\u015flevini kullan\u0131n library (dplyr) #perform binning with […]<\/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-2516","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (dplyr)\n\n#perform binning with custom breaks<\/span>\ndf %>% mutate(new_bin = cut(variable_name, breaks=c(0, 10, 20, 30)))\n\n#perform binning with specific number of bins\n<\/span>df %>% mutate(new_bin = cut(variable_name, breaks= 3<\/span> ))\n<\/strong><\/pre>\n library<\/span> (dplyr)\n\n#perform binning with specific number of bins<\/span>\ndf %>% mutate(new_bin = ntile(variable_name, n= 3<\/span> ))\n<\/strong><\/pre>\n #create data frame\ndf <- data. frame<\/span> (points=c(4, 4, 7, 8, 12, 13, 15, 18, 22, 23, 23, 25),\n assists=c(2, 5, 4, 7, 7, 8, 5, 4, 5, 11, 13, 8),\n rebounds=c(7, 7, 4, 6, 3, 8, 9, 9, 12, 11, 8, 9))\n\n#view head of data frame\n<\/span>head(df)\n\n points assists rebounds\n1 4 2 7\n2 4 5 7\n3 7 4 4\n4 8 7 6\n5 12 7 3\n6 13 8 8<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 1: Cut() i\u015fleviyle veri grupland\u0131rmay\u0131 ger\u00e7ekle\u015ftirin<\/strong><\/span><\/h3>\n
library<\/span> (dplyr)\n\n#perform data binning on variable points<\/em>\n<\/span>df %>% mutate(points_bin = cut(points, breaks=c(0, 10, 20, 30)))\n\n points assists rebounds points_bin\n1 4 2 7 (0.10]\n2 4 5 7 (0.10]\n3 7 4 4 (0.10]\n4 8 7 6 (0.10]\n5 12 7 3 (10.20]\n6 13 8 8 (10.20]\n7 15 5 9 (10.20]\n8 18 4 9 (10.20]\n9 22 5 12 (20.30]\n10 23 11 11 (20.30]\n11 23 13 8 (20.30]\n12 25 8 9 (20.30]\n<\/span><\/span><\/strong><\/pre>\n library<\/span> (dplyr)\n\n#perform data binning on variable points<\/em>\n<\/span>df %>% mutate(points_bin = cut(points, breaks= 3<\/span> ))\n\n points assists rebounds points_bin\n1 4 2 7 (3.98.11]\n2 4 5 7 (3.98.11]\n3 7 4 4 (3.98.11]\n4 8 7 6 (3.98.11]\n5 12 7 3 (11.18]\n6 13 8 8 (11.18]\n7 15 5 9 (11.18]\n8 18 4 9 (11.18]\n9 22 5 12 (18.25]\n10 23 11 11 (18.25]\n11 23 13 8 (18.25]\n12 25 8 9 (18.25]\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2:<\/strong><\/span> Ntile() i\u015fleviyle veri grupland\u0131rmay\u0131 ger\u00e7ekle\u015ftirme<\/strong><\/span><\/h3>\n
library<\/span> (dplyr)\n\n#perform data binning on variable points<\/em>\n<\/span>df %>% mutate(points_bin = ntile(points, n= 3<\/span> ))\n\n points assists rebounds points_bin\n1 4 2 7 1\n2 4 5 7 1\n3 7 4 4 1\n4 8 7 6 1\n5 12 7 3 2\n6 13 8 8 2\n7 15 5 9 2\n8 18 4 9 2\n9 22 5 12 3\n10 23 11 11 3\n11 23 13 8 3\n12 25 8 9 3\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de k\u0131rp\u0131lm\u0131\u015f ortalama nas\u0131l hesaplan\u0131r<\/a>
R’de ko\u015fullu ortalama nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"