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

Found 458 packages in 0.02 seconds

simputation — by Mark van der Loo, 2 years ago

Simple Imputation

Easy to use interfaces to a number of imputation methods that fit in the not-a-pipe operator of the 'magrittr' package.

hashr — by Mark van der Loo, 3 years ago

Hash R Objects to Integers Fast

Apply the SuperFastHash algorithm to any R object. Hash whole R objects or, for vectors or lists, hash R objects to obtain a set of hash values that is stored in a structure equivalent to the input.

deductive — by Mark van der Loo, 2 years ago

Data Correction and Imputation Using Deductive Methods

Attempt to repair inconsistencies and missing values in data records by using information from valid values and validation rules restricting the data.

dcmodify — by Mark van der Loo, 5 months ago

Modify Data Using Externally Defined Modification Rules

Data cleaning scripts typically contain a lot of 'if this change that' type of statements. Such statements are typically condensed expert knowledge. With this package, such 'data modifying rules' are taken out of the code and become in stead parameters to the work flow. This allows one to maintain, document, and reason about data modification rules as separate entities.

vwr — by Emmanuel Keuleers, 5 years ago

Useful functions for visual word recognition research

Functions and data for use in visual word recognition research: Computation of neighbors (Hamming and Levenshtein distances), average distances to neighbors (e.g., OLD20), and Coltheart's N. Also includes the LD1NN algorithm to detect bias in the composition of a lexical decision task. Most of the functions support parallel execution. Supplies wordlists for several languages. Uses the string distance functions from the stringdist package by Mark van der Loo.

errorlocate — by Edwin de Jonge, 9 months ago

Locate Errors with Validation Rules

Errors in data can be located and removed using validation rules from package 'validate'.

rtrim — by Patrick Bogaart, 4 months ago

Trends and Indices for Monitoring Data

The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See < https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.

validatetools — by Edwin de Jonge, 9 months ago

Checking and Simplifying Validation Rule Sets

Rule sets with validation rules may contain redundancies or contradictions. Functions for finding redundancies and problematic rules are provided, given a set a rules formulated with 'validate'.

dendextend — by Tal Galili, 2 months ago

Extending 'dendrogram' Functionality in R

Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.

Rtsne — by Jesse Krijthe, a month ago

T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation

An R wrapper around the fast T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten (see < https://github.com/lvdmaaten/bhtsne/> for more information on the original implementation).