<\/p>\n
Birden \u00e7ok ko\u015fula dayal\u0131 olarak yeni bir s\u00fctun olu\u015fturmak amac\u0131yla mutate()<\/strong> i\u015flevini kullanmak i\u00e7in dplyr’de<\/a> a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: Bu \u00f6zel s\u00f6zdizimi, a\u015fa\u011f\u0131daki de\u011ferleri alan, s\u0131n\u0131f<\/strong> ad\u0131 verilen yeni bir s\u00fctun olu\u015fturur:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n \u0130lgili:<\/strong> dplyr’de case_when() nas\u0131l kullan\u0131l\u0131r?<\/a><\/span><\/p>\n R’de \u00e7e\u015fitli basketbol oyuncular\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n De\u011ferleri tak\u0131m<\/strong> ve puan<\/strong> s\u00fctunlar\u0131ndaki de\u011ferlere dayal\u0131 olan class<\/strong> ad\u0131 verilen yeni bir s\u00fctun olu\u015fturmak i\u00e7in mutate()<\/strong> i\u015fleviyle birlikte a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/p>\n <\/strong> Yeni s\u0131n\u0131f<\/strong> s\u00fctunu, tak\u0131m<\/strong> ve puan<\/strong> s\u00fctunlar\u0131ndaki de\u011ferlere g\u00f6re de\u011ferler al\u0131r.<\/span><\/p>\n \u00d6rne\u011fin, ilk sat\u0131r\u0131n tak\u0131m<\/strong> s\u00fctununda A de\u011feri ve 20’den b\u00fcy\u00fck veya e\u015fit puan<\/strong> de\u011feri vard\u0131, dolay\u0131s\u0131yla yeni s\u0131n\u0131f<\/strong> s\u00fctununda A_Good<\/strong> de\u011ferini ald\u0131.<\/span><\/p>\n Bu \u00f6rnekte &<\/strong> sembol\u00fcn\u00fc, s\u0131n\u0131f<\/strong> s\u00fctununa bir de\u011fer atamadan \u00f6nce iki ko\u015fulun her ikisinin de do\u011fru olup olmad\u0131\u011f\u0131n\u0131 kontrol etmek i\u00e7in “AND” operat\u00f6r\u00fc olarak kulland\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n.<\/span><\/p>\n Ancak |’<\/strong> \u0131 kullanabilirdik. s\u0131n\u0131f<\/strong> s\u00fctununa bir de\u011fer atamadan \u00f6nce iki ko\u015fuldan herhangi birinin kar\u015f\u0131lan\u0131p kar\u015f\u0131lanmad\u0131\u011f\u0131n\u0131 kontrol etmek i\u00e7in sembol\u00fc “OR” operat\u00f6r\u00fc olarak kullan\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde dplyr’de di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n dplyr: S\u00fctun bir dize i\u00e7eriyorsa bir de\u011fi\u015fken nas\u0131l de\u011fi\u015ftirilir?<\/a> Birden \u00e7ok ko\u015fula dayal\u0131 olarak yeni bir s\u00fctun olu\u015fturmak amac\u0131yla mutate() i\u015flevini kullanmak i\u00e7in dplyr’de a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: library (dplyr) df <- df%>% mutate(class = case_when((team == ‘ A ‘ & points >= 20) ~ ‘ A_Good ‘, (team == ‘ A ‘ & points < 20) ~ ‘ A_Bad ‘, (team == ‘ […]<\/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-4265","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n
<\/span><\/p>\n library<\/span> (dplyr)\n\ndf <- df%>% mutate(class = case_when((team == ' A<\/span> ' &<\/span> points >= 20) ~ ' A_Good<\/span> ',\n (team == ' A<\/span> ' &<\/span> points < 20) ~ ' A_Bad<\/span> ',\n (team == ' B<\/span> ' &<\/span> points >= 20) ~ ' B_Good<\/span> ',\n TRUE<\/span> ~ ' B_Bad<\/span> '))\n<\/strong><\/pre>\n\n
\u00d6rnek: dplyr’de mutate() i\u015flevini birden \u00e7ok ko\u015fulla kullanma<\/strong><\/span><\/h2>\n
#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B'),\n points=c(22, 30, 34, 19, 14, 12, 39, 15, 22, 25))\n\n#view data frame\n<\/span>df\n\n team points\n1 to 22\n2 to 30\n3 to 34\n4 to 19\n5 to 14\n6 B 12\n7 B 39\n8 B 15\n9 B 22\n10 B 25<\/strong><\/pre>\n library<\/span> (dplyr)\n#add new column based on values in team and points columns\n<\/span>df <- df%>% mutate(class = case_when((team == ' A<\/span> ' &<\/span> points >= 20) ~ ' A_Good<\/span> ',\n (team == ' A<\/span> ' &<\/span> points < 20) ~ ' A_Bad<\/span> ',\n (team == ' B<\/span> ' &<\/span> points >= 20) ~ ' B_Good<\/span> ',\n TRUE<\/span> ~ ' B_Bad<\/span> '))\n\n#view updated data frame<\/span>\ndf\n\n team points class\n1 A 22 A_Good\n2 A 30 A_Good\n3 A 34 A_Good\n4 A 19 A_Bad\n5 A 14 A_Bad\n6 B 12 B_Bad\n7 B 39 B_Good\n8 B 15 B_Bad\n9 B 22 B_Good\n10 B 25 B_Good\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
dplyr: Mutate() kullan\u0131larak fakt\u00f6r d\u00fczeyleri nas\u0131l de\u011fi\u015ftirilir?<\/a>
dplyr: cross() i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"