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

Found 67 packages in 0.06 seconds

data.validator — by Marcin Dubel, 2 years ago

Automatic Data Validation and Reporting

Validate dataset by columns and rows using convenient predicates inspired by 'assertr' package. Generate good looking HTML report or print console output to display in logs of your data processing pipeline.

PvSTATEM — by Tymoteusz Kwiecinski, 4 months ago

Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project of the same name - 'PvSTATEM', which is an international project aiming for malaria elimination.

SerolyzeR — by Tymoteusz Kwiecinski, 2 months ago

Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data

Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.

semantic.dashboard — by Developers Appsilon, 4 years ago

Dashboard with Fomantic UI Support for Shiny

It offers functions for creating dashboard with Fomantic UI.

SLOPE — by Johan Larsson, 5 months ago

Sorted L1 Penalized Estimation

Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.

tmap.glyphs — by Martijn Tennekes, a month ago

Extension to 'tmap' for Creating Glyphs

Provides new layer functions to 'tmap' for drawing glyphs. A glyph is a small chart (e.g., donut chart) shown at specific map locations to visualize multivariate or time-series data. The functions work with the syntax of 'tmap' and allow flexible control over size, layout, and appearance.

tmap.cartogram — by Martijn Tennekes, 2 months ago

Extension to 'tmap' for Creating Cartograms

Provides new layer functions to 'tmap' for creating various types of cartograms. A cartogram is a type of thematic map in which geographic areas are resized or distorted based on a quantitative variable, such as population. The goal is to make the area sizes proportional to the selected variable while preserving geographic positions as much as possible.