It all depends. If your looks like your sample, then you will probably want to read the data with 'readLine' and bring in the entire line without trying to parse it. You would then go through the data with 'grep' to find the lines of interest and then you can use 'strsplit' or regular expressions to parse the line to get the data. There is probably no "automatic" way of doing it.
You might also consider PERL to preprocess the data and put it into a format that is more acceptable to R. But most of it can probably be done within R if the structure of your input is reasonable. On 3/26/08, Ben Morley <[EMAIL PROTECTED]> wrote: > > Hello everone, > > I am a computer science researcher in the UK - and have a quick question > regarding importing data into R and more specifically latentnet. > > I am trying to import data such as a text file containing: (This is based on > the Sampson data set) > > ----------- > > Network attributes: > vertices = 3 > directed = TRUE > hyper = FALSE > loops = FALSE > multiple = FALSE > total edges= 3 > > Vertex attribute names: > group vertex.names > > edgelist matrix: > [,1] [,2] > [1,] 3 1 > [2,] 2 1 > [3, ] 3 2 > > ------------ > > What command should I use to import this data? I have attempted many such as > "read.delim" and "read.table" - but either an error message is returned, or > the strings in the data (such as edges=3) appear to become objects that are > analysed by the latentnet functions such as 'ergmm'. > > I look forward to your replys, > > Many thanks > > Ben > > > > > > > > ______________________________________________ > 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. > > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ 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.
