{"id":3092,"date":"2023-07-19T06:23:51","date_gmt":"2023-07-19T06:23:51","guid":{"rendered":"https:\/\/statorials.org\/tr\/rnin-ilk-satirini-sil\/"},"modified":"2023-07-19T06:23:51","modified_gmt":"2023-07-19T06:23:51","slug":"rnin-ilk-satirini-sil","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/rnin-ilk-satirini-sil\/","title":{"rendered":"R'de veri \u00e7er\u00e7evesinin ilk sat\u0131r\u0131 nas\u0131l kald\u0131r\u0131l\u0131r (2 \u00f6rnek)"},"content":{"rendered":"

<\/p>\n

\n

R’deki bir veri \u00e7er\u00e7evesinden ilk sat\u0131r\u0131 kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden herhangi birini kullanabilirsiniz:<\/span><\/p>\n

Y\u00f6ntem 1: Base R’yi kullan\u0131n<\/strong><\/span><\/p>\n

 df <- df[-1, ]\n<\/strong><\/pre>\n
 Y\u00f6ntem 2: dplyr paketini kullanma<\/strong><\/span><\/p>\n
 library<\/span> (dplyr)\n\ndf <- df %>% slice(-1)\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n
 \u00d6rnek 1: R Taban\u0131n\u0131 kullanarak ilk sat\u0131r\u0131 silin<\/strong><\/span><\/h3>\n
 R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 #create data frame\ndf <- data. frame<\/span> (team=c(NA, 'A', 'B', 'C', 'D', 'E'),\n                 points=c(NA, 99, 90, 86, 88, 95),\n                 assists=c(NA, 33, 28, 31, 39, 34),\n                 rebounds=c(NA, 30, 28, 24, 24, 28))\n\n#view data frame\n<\/span>df\n\n  team points assists rebounds\n1 <NA> NA NA NA\n2 A 99 33 30\n3 B 90 28 28\n4 C 86 31 24\n5 D 88 39 24\n6 E 95 34 28<\/span><\/span><\/strong><\/pre>\n
 \u0130lk sat\u0131r\u0131 veri \u00e7er\u00e7evesinden kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n
 #remove first row\ndf <- df[-1, ]\n\n#view updated data frame<\/span>\ndf\n\n  team points assists rebounds\n2 A 99 33 30\n3 B 90 28 28\n4 C 86 31 24\n5 D 88 39 24\n6 E 95 34 28\n<\/span><\/span><\/strong><\/pre>\n
 \u0130lk sat\u0131r\u0131n silindi\u011fini unutmay\u0131n.<\/span><\/p>\n
 Ayr\u0131ca sat\u0131r adlar\u0131n\u0131n art\u0131k 2 ile ba\u015flad\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n
 Sat\u0131r adlar\u0131n\u0131 1’den s\u0131f\u0131rlamak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanman\u0131z yeterlidir:<\/span><\/p>\n
 #reset row names\nrownames(df) <- NULL\n\n#view updated data frame\n<\/span>df\n\n  team points assists rebounds\n1 A 99 33 30\n2 B 90 28 28\n3 C 86 31 24\n4 D 88 39 24\n5 E 95 34 28<\/span><\/span><\/strong>\n<\/pre>\n
 \u00d6rnek 2: dplyr paketini kullanarak ilk sat\u0131r\u0131 silin<\/strong><\/span><\/h3>\n
 R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 #create data frame\ndf <- data. frame<\/span> (team=c(NA, 'A', 'B', 'C', 'D', 'E'),\n                 points=c(NA, 99, 90, 86, 88, 95),\n                 assists=c(NA, 33, 28, 31, 39, 34),\n                 rebounds=c(NA, 30, 28, 24, 24, 28))\n\n#view data frame\n<\/span>df\n\n  team points assists rebounds\n1 <NA> NA NA NA\n2 A 99 33 30\n3 B 90 28 28\n4 C 86 31 24\n5 D 88 39 24\n6 E 95 34 28<\/span><\/span><\/strong><\/pre>\n
 \u0130lk sat\u0131r\u0131 veri \u00e7er\u00e7evesinden kald\u0131rmak i\u00e7in dplyr<\/strong> paketindeki dilim ()<\/a> i\u015flevini kullanabiliriz:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#remove first row from data frame<\/span>\ndf <- df %>% slice(-1)\n\n#view updated data frame\n<\/span>df\n\n  team points assists rebounds\n1 A 99 33 30\n2 B 90 28 28\n3 C 86 31 24\n4 D 88 39 24\n5 E 95 34 28\n<\/span><\/span><\/strong><\/pre>\n
 \u0130lk sat\u0131r\u0131n silindi\u011fini unutmay\u0131n.<\/span><\/p>\n
 Bu yakla\u015f\u0131m\u0131n avantaj\u0131, ilk sat\u0131r silindikten sonra sat\u0131r numaralar\u0131n\u0131n otomatik olarak s\u0131f\u0131rlanmas\u0131d\u0131r.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\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’de bir veri \u00e7er\u00e7evesine sat\u0131rlar nas\u0131l eklenir<\/a>
 R’de yinelenen sat\u0131rlar nas\u0131l kald\u0131r\u0131l\u0131r
 R’de belirli sat\u0131rlar nas\u0131l toplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R’deki bir veri \u00e7er\u00e7evesinden ilk sat\u0131r\u0131 kald\u0131rmak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemlerden herhangi birini kullanabilirsiniz: Y\u00f6ntem 1: Base R’yi kullan\u0131n df <- df[-1, ] Y\u00f6ntem 2: dplyr paketini kullanma library (dplyr) df <- df %>% slice(-1) A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek 1: R Taban\u0131n\u0131 kullanarak ilk sat\u0131r\u0131 silin R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip […]<\/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-3092","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nR'deki veri \u00e7er\u00e7evesinden ilk sat\u0131r nas\u0131l kald\u0131r\u0131l\u0131r (2 \u00f6rnek) - 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