I am the proud owner of a new laptop since my old one died the other day. Currently I have a dual-boot Windows 7 Home and Ubuntu 12.04 . I'll leave the Windows problems for another post.
I know practically nothing about Linux so I am probably doing something stupid but ... at the moment I cannot seem read or write files in Ubuntu. I am not having any problem saving other documents to the hard drive and R , from my few simple tests, seems to be working okay otherwise. At the moment I am trying : mydata <- read.csv("DATA/media/DATA/rdata/tt1.csv", header = TRUE) or mydata <- read.csv("DATA/rdata/tt1.csv", header = TRUE) where tt1.csv is a text file on what, from my reading of the path listed in gedit is DATA/media/DATA/rdata The csv data is simply: aa, bb 2, 3 4, 5 What happens: ------------------------------------------------------------------------------- 1> mydata <- read.csv("DATA/rdata/tt1.csv", header = TRUE) Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file 'DATA/rdata/tt1.csv': No such file or directory Am I totally screwing up the path? Or doing something else equally stupid? BTW I realise that 2.15 is out but Ubuntu as of yesterday did not have it in the repositories and I have yet to figure out how to install it from a CRAN site. 1> sessionInfo() R version 2.14.1 (2011-12-22) Platform: i686-pc-linux-gnu (32-bit) locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_CA.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_CA.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=C LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base John Kane Kingston ON Canada ____________________________________________________________ FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.