kRp.cluster

A character vector with paths to texts to analyze.

txts

A character string with a valid Language identifier.

lang

A character string, path to TreeTagger installation.

TT.path

A character string naming the TreeTagger preset to use.

TT.preset

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.

A set of tools to analyze texts. Includes, amongst others, functions for
automatic language detection, hyphenation, several indices of lexical diversity
(e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch,
SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also
provided, to enable frequency analyses (supports Celex and Leipzig Corpora
Collection file formats) and measures like tf-idf. Note: For full functionality
a local installation of TreeTagger is recommended. It is also recommended to
not load this package directly, but by loading one of the available language
support packages from the 'l10n' repository
<https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin
for the R GUI and IDE RKWard, providing graphical dialogs for its basic
features. The respective R package 'rkward' cannot be installed directly from a
repository, as it is a part of RKWard. To make full use of this feature, please
install RKWard from <https://rkward.kde.org> (plugins are detected
automatically). Due to some restrictions on CRAN, the full package sources are
only available from the project homepage. To ask for help, report bugs, request
features, or discuss the development of the package, please subscribe to the
koRpus-dev mailing list (<https://korpusml.reaktanz.de>).

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

Usage

Arguments

Details