Batch importing data
list.files() will give you all the file names in your working directory (you can also give it a pattern argument) then can loop over those with something like: lapply(list.files(), read.table) which will put all your files in a list object. This is generally considered much more convenient than trying to create a whole bunch of objects with different names programmatically. Michael
On Fri, Apr 27, 2012 at 11:23 AM, jiangxijixzy <jiangxijixzy at 163.com> wrote:
I want to import data from about 2000 text files, and hope to create a data frame to make it easy to quote the data. For example, the files like this Oil_20030801.txt, Oil_20030804.txt, Oil_20030805.txt ? Oil_20120427.txt The dates aren?t continuous. I want to create the data frame called ?Oil?, like that Oil20030801<-read.table(?E:/Oil/ Oil_20030801.txt?) Oil20030804<-read.table(?E:/Oil/ Oil_20030804.txt?) Oil20030805<-read.table(?E:/Oil/ Oil_20030805.txt?) ? Oil20120427<-read.table(?E:/Oil/ Oil_20120427.txt?) It is a time consuming way. How can I perform a convenient way? Thank you! -- View this message in context: http://r.789695.n4.nabble.com/Batch-importing-data-tp4592997p4592997.html Sent from the R help mailing list archive at Nabble.com.
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