kRp.cluster: Work in (early) progress. Probably don't even look at it. Consider it pure magic that is not to be tempered with.
Description
In some future release, this might evolve into a function
to help comparing several texts by features like average
sentece length, word length, lexical diversity, and so
forth. The idea behind it is to conduct a cluster
analysis, to discover which texts out of several are
similar to (or very different from) each other. This can
be useful, e.g., if you need texts for an experiment
which are different in content, but similar regarding
syntactic features, like listed above.
Usage
kRp.cluster(txts, lang, TT.path, TT.preset)
Arguments
txts
A character vector with paths to texts to
analyze.
lang
A character string with a valid Language
identifier.
TT.path
A character string, path to TreeTagger
installation.
TT.preset
A character string naming the TreeTagger
preset to use.
Details
It is included in this package not really to be used, but
to maybe inspire you, to toy around with the code and
help me to come up with something useful in the end...