charDf_to_edgelist: charDF_to_edgelist()
In seanrsilver/novnet: Novel Networks Project: Tools and Utilities

Description Usage Arguments

Along with txt_to_DF(), this is one of the crucial NovNet utilities. This function accepts objects from Txt_to_df() It requires a) char.data.df b) text.uniq.v And returns: 1) an edgelist as a dataframe 2) an igraph object

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charDf_to_edgelist(data = novel.dat, context = 15, multiplex = FALSE,
  token.threshold = 1, metadata.off = NA, sample = FALSE,
  noisy = TRUE)

`data`	A data object of the format returned by txt_to_Df(). Default = novel.dat.
`context`	Counting number. How many words from each name should the function seek others? Default = 15.
`multiplex`	Logical vector of length one. Return a multiplex graph? Default = FALSE.
`token.threshold`	Length-one numerical vector. Removes characters with token count < x from graph. Default = 1.
`metadata.off`	Default = NA. Expects a length-two vector of c("meta", "VALUE"), or matrix of vectors, to cull characters by metadata category. Useful for removing non-characters, generating subgraphs by gender, etc...
`sample`	Default = FALSE. A logical vector indicating whether the .txt should be randomized (i.e. words scrambled). Useful for checking whether modularity results are statistically meaningful.
`noisy`	Defaults to TRUE.