<\/p>\n
R’de grup ba\u015f\u0131na benzersiz de\u011ferlerin say\u0131s\u0131n\u0131 saymak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Base R’yi kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 2: dplyr’\u0131 kullan\u0131n<\/strong><\/span><\/p>\n Y\u00f6ntem 3: data.table’\u0131 kullanma<\/strong><\/span><\/p>\n Her y\u00f6ntem tamamen ayn\u0131 sonucu verir, ancak temel R y\u00f6ntemi, b\u00fcy\u00fck veri \u00e7er\u00e7eveleriyle \u00e7al\u0131\u015f\u0131rken \u00f6nemli \u00f6l\u00e7\u00fcde daha yava\u015f olma e\u011filimindedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin 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, R taban\u0131n\u0131 kullanarak her tak\u0131m i\u00e7in farkl\u0131 puan de\u011ferlerinin say\u0131s\u0131n\u0131n nas\u0131l say\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonu\u00e7tan \u015funu g\u00f6rebiliriz:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, dplyr kullanarak her tak\u0131m i\u00e7in farkl\u0131 puan de\u011ferlerinin say\u0131s\u0131n\u0131n nas\u0131l say\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu sonu\u00e7lar\u0131n temel R y\u00f6ntemiyle e\u015fle\u015fti\u011fini unutmay\u0131n.<\/span><\/span><\/p>\n A\u015fa\u011f\u0131daki kod, data.table kullan\u0131larak her tak\u0131m i\u00e7in farkl\u0131 puan de\u011ferlerinin say\u0131s\u0131n\u0131n nas\u0131l say\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Bu sonu\u00e7lar\u0131n \u00f6nceki iki y\u00f6ntemin sonu\u00e7lar\u0131yla e\u015fle\u015fti\u011fini unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde dplyr kullan\u0131larak di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Dplyr kullanarak de\u011ferler nas\u0131l yeniden kodlan\u0131r<\/a> R’de grup ba\u015f\u0131na benzersiz de\u011ferlerin say\u0131s\u0131n\u0131 saymak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Base R’yi kullan\u0131n results <- aggregate(data=df, values_var~group_var, function (x) length ( unique (x))) Y\u00f6ntem 2: dplyr’\u0131 kullan\u0131n library (dplyr) results <- df %>% group_by(group_var) %>% summarize(count = n_distinct (values_var)) Y\u00f6ntem 3: data.table’\u0131 kullanma library (data.table) df <- data.table(df) results <- df[, .(count […]<\/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-2891","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n results <- aggregate(data=df, values_var~group_var, function<\/span> (x) length<\/span> ( unique<\/span> (x)))\n<\/strong><\/pre>\n library<\/span> (dplyr)\n\nresults <- df %>%\n group_by(group_var) %>%\n summarize(count = n_distinct<\/span> (values_var))\n<\/strong><\/pre>\n library<\/span> (data.table)\n\ndf <- data.table(df)\nresults <- df[, .(count = length<\/span> ( unique<\/span> (values_var))), by = group_var]<\/span><\/strong><\/pre>\n #create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'C', 'C', 'C'),\n points=c(10, 10, 14, 14, 18, 19, 20, 20, 20))\n\n#view data frame<\/span>\ndf\n\n team points\n1 to 10\n2 to 10\n3 to 14\n4 to 14\n5 B 18\n6 B 19\n7 C 20\n8 C 20\n9 C 20\n<\/span><\/strong><\/pre>\n Y\u00f6ntem 1: Temel R’yi kullanarak benzersiz de\u011ferleri gruba g\u00f6re say\u0131n<\/strong><\/span><\/h3>\n
#count unique points values by team\n<\/span>results <- aggregate(data=df, points~team, function<\/span> (x) length<\/span> ( unique<\/span> (x)))\n\n#view results<\/span>\nresults\n\n team points\n1 TO 2\n2 B 2\n3 C 1<\/span><\/span><\/strong><\/pre>\n\n
Y\u00f6ntem 2:<\/strong><\/span> dplyr kullanarak benzersiz de\u011ferleri gruba g\u00f6re say\u0131n<\/strong><\/span><\/h3>\n
library<\/span> (dplyr)\n\n#count unique points values by team\n<\/span>results <- df %>%\n group_by(team) %>%\n summarize(count = n_distinct<\/span> (points))\n\n#view results\n<\/span>results\n\n# A tibble: 3 x 2\n team count\n1 TO 2\n2 B 2\n3 C 1\n<\/span><\/span><\/strong><\/pre>\n Y\u00f6ntem 3:<\/strong><\/span> data.table’\u0131 kullanarak benzersiz de\u011ferleri gruba g\u00f6re say\u0131n<\/strong><\/span><\/h3>\n
library<\/span> (data.table)\n\n#convert data frame to data table\n<\/span>df <- data.table(df)\n\n#count unique points values by team \n<\/span>results <- df[, .(count = length<\/span> ( unique<\/span> (points))), by = team]\n\n#view results\n<\/span>results\n\n team count\n1 TO 2\n2:B2\n3: C 1\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Dplyr’de NA’y\u0131 S\u0131f\u0131r ile nas\u0131l de\u011fi\u015ftirebilirim?<\/a>
Dplyr kullanarak de\u011fi\u015fkenleri gruba g\u00f6re s\u0131ralama<\/a>
Dplyr kullanarak gruba g\u00f6re ilk sat\u0131r nas\u0131l se\u00e7ilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"