Miscellaneous Functions from Alexey Shipunov

A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2019) < http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions are probably Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode...() which multiple recode in a fast, flexible and simple way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which calculates overlaps of convex hulls from any projection; and Pleiad() which is fast and flexible correlogram. In fact, there are much more useful functions, please see documentation.


Reference manual

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1.2 by Alexey Shipunov, 2 months ago

Browse source code at https://github.com/cran/shipunov

Authors: Alexey Shipunov [aut, cre] , Paul Murrell [ctb] , Marcello D'Orazio [ctb] , Stephen Turner [ctb] , Eugeny Altshuler [ctb] , Roland Rau [ctb] , Marcus W Beck [ctb] , Sebastian Gibb [ctb] , Weiliang Qiu [ctb] , Emmanuel Paradis [ctb] , Roger Koenker [ctb] , R Core Team [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports methods

Suggests adabag, apcluster, ape, class, cluster, dbscan, e1071, effsize, grid, ips, kernlab, MASS, mclust, meanShiftR, neuralnet, nnet, PBSmapping, randomForest, rpart, scales, smirnov, tapkee, tree, vegan

See at CRAN