6 packages on CRAN
Allows for fast, correct, consistent, portable, as well as convenient character string/text processing in every locale and any native encoding. Owing to the use of the ICU library, the package provides R users with platform-independent functions known to Java, Perl, Python, PHP, and Ruby programmers. Among available features there are: pattern searching (e.g., with ICU Java-like regular expressions or the Unicode Collation Algorithm), random string generation, case mapping, string transliteration, concatenation, Unicode normalization, date-time formatting and parsing, etc.
Tools supporting multi-criteria decision making, including variable number of criteria, by means of aggregation operators and preordered sets. Possible applications include, but are not limited to, scientometrics and bibliometrics.
Supports quantitative research in scientometrics and bibliometrics. Provides various tools for preprocessing bibliographic data retrieved, e.g., from Elsevier's SciVerse Scopus, computing bibliometric impact of individuals, or modeling many phenomena encountered in the social sciences.
S4 classes and methods to deal with fuzzy numbers. With them you can compute any arithmetic operations (e.g. by using the Zadeh extension principle), perform approximation of arbitrary FNs by trapezoidal and piecewise linear FNs, prepare plots of FNs for publications, calculate possibility and necessity values for comparisons, etc.
A new hierarchical clustering linkage criterion: the Genie algorithm links two clusters in such a way that a chosen economic inequity measure (e.g., the Gini index) of the cluster sizes does not increase drastically above a given threshold. Benchmarks indicate a high practical usefulness of the introduced method: it most often outperforms the Ward or average linkage in terms of the clustering quality while retaining the single linkage speed, see (Gagolewski et al. 2016 <DOI:10.1016/j.ins.2016.05.003>) for more details.
An implementation of turtle graphics (http://en.wikipedia.org/wiki/Turtle_graphics) in R. Turtle graphics comes from Papert's language Logo and has been used to teach concepts of computer programming.