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...I have multiple files with financial data like the following (header included): E.g.: filename: AOL.txt aol.txt 4 3 5 3... filename: IBM.txt ibm.txt 6 2 5 2... I would like to input these data in R as time-series objects with their corresponding names automatically, so that I can manipulate them (exempli gratia plot acf, pacf, differntiate them, make adf tests, etc) For example: I could do that by hand using: AOL <- ts(read.table(AOL.txt, header = TRUE)))) IBM <- ts(read.table(IBM.txt, header = TRUE)))) but is there another way to achieve the same actions as above with a more versatile way? (...

...ad code still to be expunged, but all user-visible >> functionality and the bulk of the supporting infrastructure is gone. >> >> Sic transit gloria mundi. >> > > Quamvis ejus problems, est etiam a magnus lenimentus super eam telnet. Ut cum multa -- linguam latinam, exempli gratia -- pugnatum est multo longior quam exspectavimus. Ni esperas, ke la dua provo renkontas pli bonan finon. -- jim knoble | jmknoble at pobox.com

Hi, I just deleted SSHv1 support in OpenBSD and portable OpenSSH. There's probably a little dead code still to be expunged, but all user-visible functionality and the bulk of the supporting infrastructure is gone. Sic transit gloria mundi. -d

...;)[i], read.csv(list.files(".", pattern=".R")[i]))) } I would like to perform various tasks on all these objects, but I cannot because > ls(pattern=".R")[1] is not a list, but a character string!!!: > typeof(ls(pa=".R")[1]) [1] "character" Exempli gratia: > typeof(ls(pattern=".R")[45]) [1] "character" > ls(pattern=".R")[45] I do not want that: [1] "wmd.txt.R" > typeof(wmd.txt.R) I want that: [1] "list" so that I can find the mean of the series on all of these files/loaded ob...