Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n Read.table<\/strong> i\u015flevi varsay\u0131lan olarak dosyada ba\u015fl\u0131k sat\u0131r\u0131 bulunmad\u0131\u011f\u0131n\u0131 ve de\u011ferlerin bo\u015fluklarla ayr\u0131ld\u0131\u011f\u0131n\u0131 varsayar.<\/span><\/p>\n Ancak R’ye dosyan\u0131n bir ba\u015fl\u0131k sat\u0131r\u0131na sahip oldu\u011funu ve farkl\u0131 bir s\u0131n\u0131rlay\u0131c\u0131 kulland\u0131\u011f\u0131n\u0131 s\u00f6ylemek i\u00e7in ba\u015fl\u0131k<\/strong> ve sep<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenlerini kullanabilirsiniz.<\/span><\/p>\n \u00d6rne\u011fin s\u0131n\u0131rlay\u0131c\u0131 olarak virg\u00fcl kullanmay\u0131 se\u00e7ebilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki ad\u0131m ad\u0131m \u00f6rnek, read.table<\/strong> i\u015flevinin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Diyelim ki masa\u00fcst\u00fcmde R’ye veri blo\u011fu olarak okumak istedi\u011fim data.txt<\/strong> ad\u0131nda bir dosyam var:<\/span> <\/p>\n Daha sonra dosyay\u0131 df<\/strong> adl\u0131 bir veri \u00e7er\u00e7evesine okumak i\u00e7in read.table()<\/strong> i\u015flevini kullanal\u0131m:<\/span><\/p>\n Dosyan\u0131n ilk sat\u0131r\u0131 s\u00fctun adlar\u0131n\u0131 i\u00e7erdi\u011finden ba\u015fl\u0131k=TRUE<\/strong> belirtti\u011fimi unutmay\u0131n.<\/span><\/p>\n Ayr\u0131ca dosya verileri zaten bo\u015flukla ayr\u0131lm\u0131\u015f oldu\u011fundan sep<\/strong> arg\u00fcman\u0131n\u0131 da belirtmedim.<\/span><\/p>\n Daha sonra dosyan\u0131n do\u011fru okundu\u011fundan emin olmak i\u00e7in veri \u00e7er\u00e7evesini g\u00f6r\u00fcnt\u00fcleyebiliriz:<\/span><\/p>\n Veri \u00e7er\u00e7evesinin dosyadaki verilerle e\u015fle\u015fti\u011fini g\u00f6rebiliriz.<\/span><\/p>\n Veri \u00e7er\u00e7evesinin s\u0131n\u0131f\u0131n\u0131 kontrol etmek ve boyutlar\u0131 (sat\u0131r say\u0131s\u0131 ve s\u00fctun say\u0131s\u0131) almak i\u00e7in class<\/strong> ve dim<\/strong> i\u015flevlerini de kullanabiliriz:<\/span><\/p>\n Df’nin<\/strong> ger\u00e7ekten bir veri \u00e7er\u00e7evesi oldu\u011funu ve 7 sat\u0131r ve 3 s\u00fctundan olu\u015ftu\u011funu g\u00f6rebiliriz.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’deki di\u011fer dosya t\u00fcrlerinin nas\u0131l okunaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n CSV dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a> R’de tablo verileri i\u00e7eren bir dosyay\u0131 okumak i\u00e7in read.table i\u015flevini kullanabilirsiniz. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: df <- read. table (file=’ C:\\\\Users\\\\bob\\\\Desktop\\\\data.txt ‘, header= FALSE , sep = “”) Read.table i\u015flevi varsay\u0131lan olarak dosyada ba\u015fl\u0131k sat\u0131r\u0131 bulunmad\u0131\u011f\u0131n\u0131 ve de\u011ferlerin bo\u015fluklarla ayr\u0131ld\u0131\u011f\u0131n\u0131 varsayar. Ancak R’ye dosyan\u0131n bir ba\u015fl\u0131k sat\u0131r\u0131na sahip oldu\u011funu ve farkl\u0131 bir s\u0131n\u0131rlay\u0131c\u0131 […]<\/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-2502","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df <- read. table<\/span> (file=' C:\\\\Users\\\\bob\\\\Desktop\\\\data.txt<\/span> ', header= FALSE<\/span> , sep = \"\")\n<\/strong><\/pre>\n df <- read. table<\/span> (file=' C:\\\\Users\\\\bob\\\\Desktop\\\\data.txt<\/span> ', header= TRUE<\/span> , sep=' ,<\/span> ')<\/strong><\/pre>\n 1. Ad\u0131m: Dosyay\u0131 g\u00f6r\u00fcnt\u00fcleyin<\/strong><\/span><\/h3>\n
![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/lecture_table1.png\")
<\/p>\n Ad\u0131m 2: Dosyay\u0131 veri \u00e7er\u00e7evesine okumak i\u00e7in read.table() i\u015flevini kullan\u0131n<\/strong><\/span><\/h3>\n
#read file from Desktop into data frame<\/span>\ndf <- read. table<\/span> (file=' C:\\\\Users\\\\bob\\\\Desktop\\\\data.txt<\/span> ', header= TRUE<\/span> )<\/strong><\/pre>\n 3. Ad\u0131m: Veri \u00e7er\u00e7evesini g\u00f6r\u00fcnt\u00fcleyin<\/strong><\/span><\/h3>\n
#view data frame<\/span>\nprint<\/span> (df)\n\n var1 var2 var3\n1 1 7 3\n2 2 3 7\n3 3 3 8\n4 4 4 3\n5 5 5 2\n6 6 7 7\n7 9 9 4\n<\/strong><\/pre>\n #check class of data frame<\/span>\nclass(df)\n\n[1] \"data.frame\"\n\n#check dimensions of data frame<\/span>\ndim(df)\n\n[1] 7 3\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Excel dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a>
TSV dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"