Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 88 packages in 0.01 seconds

VIM — by Matthias Templ, 2 years ago

Visualization and Imputation of Missing Values

New tools for the visualization of missing and/or imputed values are introduced, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods. A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods.

distrEx — by Matthias Kohl, 5 months ago

Extensions of Package 'distr'

Extends package 'distr' by functionals, distances, and conditional distributions.

cluster — by Martin Maechler, 8 months ago

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".

laeken — by Andreas Alfons, 4 years ago

Estimation of indicators on social exclusion and poverty

Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions.

RandVar — by Matthias Kohl, 4 months ago

Implementation of Random Variables

Implements random variables by means of S4 classes and methods.

RUnit — by Roman Zenka, 7 months ago

R Unit Test Framework

R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools.

robCompositions — by Matthias Templ, a month ago

Robust Estimation for Compositional Data

Methods for analysis of compositional data including robust methods, imputation, methods to replace rounded zeros, (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (addLR, cenLR, isomLR, and their inverse transformations). In addition, visualisation and diagnostic tools are implemented as well as high and low-level plot functions for the ternary diagram.

sdcMicro — by Matthias Templ, 7 months ago

Statistical Disclosure Control Methods for Anonymization of Microdata and Risk Estimation

Data from statistical agencies and other institutions are mostly confidential. This package can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. In addition, various risk estimation methods are included. Note that the package includes a graphical user interface that allows to use various methods of this package.

irr — by Matthias Gamer, 6 years ago

Various Coefficients of Interrater Reliability and Agreement

Coefficients of Interrater Reliability and Agreement for quantitative, ordinal and nominal data: ICC, Finn-Coefficient, Robinson'A, Kendall's W, Cohen's Kappa, ...

WeightedCluster — by Matthias Studer, a year ago

Clustering of Weighted Data

Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.