<\/p>\n
R’deki dplyr<\/strong> paketini kullanarak bir veri \u00e7er\u00e7evesinin sat\u0131rlar\u0131n\u0131 \u00f6zel bir s\u0131raya g\u00f6re d\u00fczenlemek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n Bu \u00f6zel \u00f6rnek, sat\u0131rlar\u0131 tak\u0131m<\/strong> s\u00fctunu de\u011ferleri i\u00e7in \u00f6zel C, B, D, A s\u0131ras\u0131na g\u00f6re ve ard\u0131ndan puan<\/strong> s\u00fctunu de\u011ferlerine g\u00f6re artan s\u0131rada d\u00fczenler.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Farkl\u0131 tak\u0131mlardaki basketbolcular\u0131n att\u0131\u011f\u0131 say\u0131lar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Sat\u0131rlar\u0131 tak\u0131m<\/strong> s\u00fctunundaki de\u011ferlere g\u00f6re s\u0131ralamak i\u00e7in d\u00fczenleme()<\/strong> i\u015flevini kullan\u0131rsak, ard\u0131ndan puanlar<\/strong> s\u00fctunundaki de\u011ferlere g\u00f6re d\u00fczenleme()<\/strong> i\u015flevi sat\u0131rlar\u0131 varsay\u0131lan alfabetik s\u0131raya g\u00f6re s\u0131ralayacakt\u0131r. :<\/span><\/p>\n \u00c7izgiler tak\u0131ma<\/strong> g\u00f6re alfabetik olarak, ard\u0131ndan noktalara<\/strong> g\u00f6re artan s\u0131rada listelenir.<\/span><\/p>\n Ancak bunun yerine sat\u0131rlar\u0131 \u015fu tak\u0131m<\/strong> de\u011ferleri s\u0131ras\u0131na g\u00f6re d\u00fczenlemek istedi\u011fimizi varsayal\u0131m: C, B, D, A.<\/span><\/span><\/p>\n Bunu yapmak i\u00e7in ,range()<\/strong> i\u015flevi i\u00e7indeki match()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Sat\u0131rlar, tak\u0131m<\/strong> s\u00fctunu i\u00e7in belirledi\u011fimiz \u00f6zel s\u0131raya (C, B, D, A) ve ard\u0131ndan puan<\/strong> s\u00fctununa g\u00f6re d\u00fczenlenir.<\/span><\/p>\n Not #1<\/strong> : Match<\/strong> fonksiyonu tak\u0131m s\u00fctunundaki de\u011ferlerin sat\u0131r indeksini al\u0131r, ard\u0131ndan d\u00fczenleme<\/strong> fonksiyonu bu indeks de\u011ferlerine g\u00f6re s\u0131ralama yapabilir.<\/span><\/p>\n Not #2<\/strong> : Nokta de\u011ferlerini azaltarak d\u00fczenlemek i\u00e7in bunun yerine basit\u00e7e desc(points) komutunu<\/strong> kullan\u0131n.<\/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 Dplyr kullanarak sat\u0131rlar\u0131 gruba g\u00f6re nas\u0131l organize edebilirim?<\/a> R’deki dplyr paketini kullanarak bir veri \u00e7er\u00e7evesinin sat\u0131rlar\u0131n\u0131 \u00f6zel bir s\u0131raya g\u00f6re d\u00fczenlemek i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: library (dplyr) #arrange rows in custom order based on values in ‘team’ column df %>% arrange(match(team, c(‘ C ‘, ‘ B ‘, ‘ D ‘, ‘ A ‘)), points) Bu \u00f6zel \u00f6rnek, sat\u0131rlar\u0131 tak\u0131m s\u00fctunu de\u011ferleri i\u00e7in […]<\/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-4279","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (dplyr)\n\n#arrange rows in custom order based on values in 'team' column\n<\/span>df %>%\n arrange(match(team, c(' C<\/span> ', ' B<\/span> ', ' D<\/span> ', ' A<\/span> ')), points)<\/strong><\/pre>\n \u00d6rnek: Dplyr kullan\u0131larak sat\u0131rlar \u00f6zel bir s\u0131raya g\u00f6re nas\u0131l d\u00fczenlenir?<\/strong><\/span><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'B', 'A', 'A', 'B', 'D', 'C', 'D', 'D', 'C'),\n points=c(12, 20, 14, 34, 29, 22, 28, 15, 20, 13))\n\n#view data frame\n<\/span>df\n\n team points\n1 to 12\n2 B 20\n3 to 14\n4 to 34\n5 B 29\n6 D 22\n7 C 28\n8 D 15\n9 D 20\n10 C 13\n<\/strong><\/span><\/pre>\n library<\/span> (dplyr)<\/span>\n\n#arrange rows in ascending order by team, then by points\ndf %>%\n arrange(team, points)\n\n team points\n1 to 12\n2 to 14\n3 to 34\n4 B 20\n5 B 29\n6 C 13\n7 C 28\n8 D 15\n9 D 20\n10 D 22<\/span><\/span><\/strong><\/pre>\n library<\/span> (dplyr)\n\n#arrange rows in custom order based on 'team' column, then by 'points' column\n<\/span>df %>%\n arrange(match(team, c(' C<\/span> ', ' B<\/span> ', ' D<\/span> ', ' A<\/span> ')), points)\n\n team points\n1 C 13\n2 C 28\n3 B 20\n4 B 29\n5 D 15\n6 D 20\n7 D 22\n8 to 12\n9 to 14\n10 to 34\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Dplyr kullanarak benzersiz de\u011ferler nas\u0131l filtrelenir<\/a>
Dplyr kullanarak birden \u00e7ok ko\u015fula g\u00f6re filtreleme nas\u0131l yap\u0131l\u0131r<\/p>\n","protected":false},"excerpt":{"rendered":"