Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of DataVisualizations is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, DataVisualizations makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.

Platform Design Info for Affymetrix Clariom_S_Rat_HT.

Affymetrix raex10 annotation data (chip raex10stprobeset) assembled using data from public repositories.

Platform Design Info for Affymetrix RaGene-1_0-st-v1.

Platform Design Info for Affymetrix RaGene-1_1-st-v1.

This package provides a RuboCop plugin that can be used for code style checking of Capybara test files (RSpec, Cucumber, Minitest).

Enhances the R Optimization Infrastructure ('ROI') package by registering the quadprog solver. It allows for solving quadratic programming (QP) problems.

Typing stubs for requests

Typing stubs for requests

This Ruby module allows you to map simple HTML back into Markdown---e.g., if you want to import existing HTML data in your application.

RNAmodR.RiboMethSeq implements the detection of 2'-O methylations on RNA from experimental data generated with the RiboMethSeq protocol. The package builds on the core functionality of the RNAmodR package to detect specific patterns of the modifications in high throughput sequencing data.

Documentation at https://melpa.org/#/narrow-reindent

Documentation at https://melpa.org/#/rectangle-utils

Documentation at https://melpa.org/#/download-region

Documentation at https://melpa.org/#/rewriting-pcase

Documentation at https://melpa.org/#/org-radiobutton

Documentation at https://melpa.org/#/recover-buffers

Documentation at https://melpa.org/#/flycheck-relint

Documentation at https://melpa.org/#/remind-bindings

Documentation at https://melpa.org/#/restclient-helm

Documentation at https://melpa.org/#/reykjavik-theme

Documentation at https://melpa.org/#/rust-playground

Documentation at https://melpa.org/#/restclient-test

This package provides typing stubs for requests.