probe_colo_list: Generate List of Exploration 'search_term_collocations'...
In trinker/termco: Counts of Terms and Substrings

Description Usage Arguments Value See Also Examples

The task of determining the regexes used to feed a term_count object's term.list requires careful exploration of term use in context. This function generates a list of function calls for search_term_collocations (a wrapper for search_term + frequent_terms) with a user predefined data set and term list. This allows the user to explore a list of terms (such as from frequent_terms) and the accompanying terms that frequently collocate with these terms.

probe_colo_list(
  terms,
  data.name,
  copy2clip = getOption("termco.copy2clip"),
  ldots = ""
)

`terms`	A vector of regex terms to explore (often populated from `frequent_terms`.
`data.name`	A character vector of a data set's name that will serve as the search context.
`copy2clip`	logical. If codeTRUE uses `write_clip` to copy the output to the clipboard. This option is most useful when trying to build a list regular expression model for easy pasting between testing a regex and putting it into the model. This argument can be set globally by setting `options(termco.copy2clip = TRUE)`.
`ldots`	A string (starting with a comma) of additional arguments to include in the `frequent_terms` function of the list of function calls.

Returns a string with the concatenated function calls. The print method separates the concatenated string into new line function calls. If copy2clip = TRUE the calls are easily pasted for use in exploration of the terms in the text data set.

Other probe functions: probe_colo_plot_list(), probe_list()

probe_colo_list(c("thank", "\\bthe", "ee"), "sam_i_am")
probe_colo_list(
    c("thank", "\\bthe", "ee"),
    "sam_i_am",
    ldots = ", n = 10, min.char = 5"
)

txt <- presidential_debates_2012[["dialogue"]]
terms <- frequent_terms(txt)[["term"]]
probe_colo_list(terms, "txt")

## Not run: 
probe_colo_list(terms, "txt", copy2clip = TRUE)

## End(Not run)