[R] Latentnet Data Import

[Gabor Grothendieck]

Try this. If the format varies you may need to modify it from below.  Replace
textConnection(rawLines) with the name of your file.  This extracts lines with
a = and rereads them using read.table with = as the separator.  It also
gets lines with a number that has spaces on both sides, deletes everything
to the ] and rereads them using read.table.

rawLines <- "
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
"

Lines <- readLines(textConnection(rawLines))

Lines0 <- grep("=", Lines, value = TRUE)
attributes <- read.table(textConnection(Lines0), sep = "=", as.is = TRUE)

Lines1 <- sub(".*\\]", "", grep(" [0-9]+ ", Lines, value = TRUE))
edgelist <- read.table(textConnection(Lines1))


On Wed, Mar 26, 2008 at 7:15 AM, Ben Morley <me at benmorley.com> 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
>
>
>
>
>
>
>
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>
>