freq.analysis analyzes texts
  regarding frequencies of tokens, word classes etc.freq.analysis(txt.file, corp.freq = NULL,
    desc.stat = TRUE, force.lang = NULL,
    tagger = "kRp.env", corp.rm.class = "nonpunct",
    corp.rm.tag = c(), ...)  kRp.freq.analysis(txt.file, corp.freq = NULL,
    desc.stat = TRUE, force.lang = NULL,
    tagger = "kRp.env", corp.rm.class = "nonpunct",
    corp.rm.tag = c(), ...)
kRp.tagged-class,
  kRp.txt.freq-class,
  kRp.corp.freq-class.txt.file is already of
  class kRp.tagged-class. Defaults to
  "kRp.env" to get the settings by
"nonpunct" has special meaning and
  will cause the result of kRp.POS.tags(lang,
  c("punct","sentc"), list.classes=TRUE) tagger.kRp.txt.freq-class.kRp.txt.freq-class.  By default, if the text has yet to be tagged, the
  language definition is queried by calling
  get.kRp.env(lang=TRUE) internally. Or, if
  txt.file has already been tagged, by default the
  language definition of that tagged object is read and
  used. Set force.lang=get.kRp.env(lang=TRUE) or to
  any other valid value, if you want to forcibly overwrite
  this default behaviour, and only then. See
  kRp.POS.tags for all
  supported languages.
get.kRp.env,
  kRp.tagged-class,
  kRp.corp.freq-classfreq.analysis("~/some/text.txt", corp.freq=my.LCC.data)Run the code above in your browser using DataLab