<\/p>\n
R’deki lapply()<\/strong> i\u015flevi, bir listenin, vekt\u00f6r\u00fcn veya veri \u00e7er\u00e7evesinin her bir \u00f6\u011fesine bir i\u015flev uygulamak ve buna g\u00f6re bir liste<\/strong> elde etmek i\u00e7in kullan\u0131labilir.<\/span><\/p>\n sapply()<\/strong> i\u015flevi ayr\u0131ca bir listenin, vekt\u00f6r\u00fcn veya veri \u00e7er\u00e7evesinin her bir \u00f6\u011fesine bir i\u015flev uygulamak i\u00e7in de kullan\u0131labilir, ancak sonu\u00e7 olarak bir vekt\u00f6r<\/strong> d\u00f6nd\u00fcr\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler bu i\u015flevlerin her birinin R’de nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir veri \u00e7er\u00e7evesinin her s\u00fctunundaki her de\u011feri 2 ile \u00e7arpmak i\u00e7in lapply()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonucun bir liste oldu\u011funu unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bir veri \u00e7er\u00e7evesinin her s\u00fctunundaki her de\u011feri 2 ile \u00e7arpmak i\u00e7in sapply()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Sonucun bir vekt\u00f6r matrisi oldu\u011funa dikkat edin.<\/span><\/p>\n Matris yerine veri \u00e7er\u00e7evesi d\u00f6nd\u00fcrmek i\u00e7in as.data.frame()<\/strong> i\u015flevini kullanabilece\u011finizi unutmay\u0131n:<\/span><\/p>\n Vakalar\u0131n %99’unda sapply() i\u015flevini<\/strong> kullanacaks\u0131n\u0131z \u00e7\u00fcnk\u00fc bir vekt\u00f6r veya matris d\u00f6nd\u00fcrmek daha mant\u0131kl\u0131d\u0131r.<\/span><\/p>\n Ancak nadir durumlarda, sonucun bir liste olmas\u0131n\u0131 istiyorsan\u0131z bunun yerine lapply()<\/strong> i\u015flevini kullanman\u0131z gerekebilir.<\/span><\/p>\n sapply()<\/strong> ve lappy()<\/strong> i\u015flevlerinin bir vekt\u00f6r, matris veya veri \u00e7er\u00e7evesinde ayn\u0131 i\u015flemleri ger\u00e7ekle\u015ftirdi\u011fini unutmay\u0131n. Tek fark, d\u00f6nd\u00fcr\u00fclen nesnenin s\u0131n\u0131f\u0131ndad\u0131r.<\/span><\/p>\n R’deki her veri \u00e7er\u00e7evesi sat\u0131r\u0131na bir i\u015flev nas\u0131l uygulan\u0131r?<\/a> R’deki lapply() i\u015flevi, bir listenin, vekt\u00f6r\u00fcn veya veri \u00e7er\u00e7evesinin her bir \u00f6\u011fesine bir i\u015flev uygulamak ve buna g\u00f6re bir liste elde etmek i\u00e7in kullan\u0131labilir. sapply() i\u015flevi ayr\u0131ca bir listenin, vekt\u00f6r\u00fcn veya veri \u00e7er\u00e7evesinin her bir \u00f6\u011fesine bir i\u015flev uygulamak i\u00e7in de kullan\u0131labilir, ancak sonu\u00e7 olarak bir vekt\u00f6r d\u00f6nd\u00fcr\u00fcr. A\u015fa\u011f\u0131daki \u00f6rnekler bu i\u015flevlerin her birinin R’de […]<\/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-1907","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n \u00d6rnek: R’de application() nas\u0131l kullan\u0131l\u0131r?<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (x=c(1, 2, 2, 3, 5),\n y=c(4, 4, 6, 7, 8),\n z=c(7, 7, 9, 9, 9))\n\n#view data frame\n<\/span>df\n\n X Y Z\n1 1 4 7\n2 2 4 7\n3 2 6 9\n4 3 7 9\n5 5 8 9\n\n#multiply each value in each column by 2\n<\/span>lapply(df, function<\/span> (df) df*2)\n\n$x\n[1] 2 4 4 6 10\n\n$y\n[1] 8 8 12 14 16\n\n$z\n[1] 14 14 18 18 18<\/strong><\/pre>\n \u00d6rnek: R’de sapply() nas\u0131l kullan\u0131l\u0131r?<\/strong><\/span><\/h3>\n
#create data frame\n<\/span>df <- data. frame<\/span> (x=c(1, 2, 2, 3, 5),\n y=c(4, 4, 6, 7, 8),\n z=c(7, 7, 9, 9, 9))\n\n#view data frame\n<\/span>df\n\n X Y Z\n1 1 4 7\n2 2 4 7\n3 2 6 9\n4 3 7 9\n5 5 8 9\n\n#multiply each value in each column by 2\n<\/span>sapply(df, function<\/span> (df) df*2)\n\n X Y Z\n[1,] 2 8 14\n[2,] 4 8 14\n[3,] 4 12 18\n[4,] 6 14 18\n[5,] 10 16 18<\/strong><\/pre>\n #multiply each value in each column by 2 and return a data frame\n<\/span>as. data<\/span> . frame<\/span> (sapply(df, function<\/span> (df) df*2))\n\n X Y Z\n1 2 8 14\n2 4 8 14\n3 4 12 18\n4 6 14 18\n5 10 16 18<\/strong><\/pre>\n lapply() veya sapply() ne zaman kullan\u0131l\u0131r?<\/strong><\/span><\/h3>\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
R’de colSums() i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a>
R’de rowSums() i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"