road2r

Advanced R.

Advanced R Solutions.

Documents with R Markdown.

Book on data science (or data analysis) in education using R.

Data Science Course in a Box.

a curated list of R tutorials for Data Science, NLP and Machine Learning.

Environments, data Structures, Functions, Subsetting and more by Arianne Colton and Sean Chen.

Apply Functions Cheat Sheet.

Base R.

Modeling and Machine Learning in R with the caret package by Max Kuhn.

Thematic maps with spatial objects by Timothée Giraud.

Data Import Cheat Sheet.

Alluvial Diagrams.

Visualizing Association Rules and Frequent Itemsets.

Visualization of a Correlation Matrix.

Streamlined Plot Theme and Plot Annotations for 'ggplot2'.

Alluvial Diagrams in 'ggplot2'.

Extension to 'ggplot2'.

The World's Most Popular Python/R Data Science Platform.

An 'Rcpp' Interface to Active Bindings.

Tools to Make Developing R Packages Easier.

Advice on R Package Building.

Seamless R and C++ Integration.

In-Line Documentation for R.

Mining Association Rules and Frequent Itemsets.

Bootstrap Functions (Originally by Angelo Canty for S).

Companion to Applied Regression.

Classification and Regression Training.

Misc Functions of the Department of Statistics, ProbabilityTheory Group (Formerly: E1071), TU Wien.

gradient boosted regression models.

Awesome Shiny Extensions.

Mastering Shiny: a book.

Web Application Framework for R.

Ace editor bindings to enable a rich text editing environment within Shiny.

Examples of interactive web apps using shiny.

Twitter Bootstrap Components for Shiny.

Transcriptomic tools to classify bladder tumours according to six published molecular classifications.

Cancer subtypes identification, validation and visualization based on multiple genomic data sets.

This package implements a Pearson nearest-centroid classifier that assigns class labels to single samples according to the four transcriptomic UROMOL2021 classes of non-muscle-invasive bladder cancer (NMIBC): class 1, class 2a, class 2b and class 3.

clusterProfiler: an R package for comparing biological themes among gene clusters.

an R package for consensus molecular subtyping of colorectal cancer pre-clinical models.

An R package and an example data set are provided to run the CMSclassifier.

Convert Statistical Analysis Objects into Tidy Data Frames.

A 'dplyr' Back End for Databases.

a grammar of data manipulation.

Tools for Working with Categorical Variables (Factors).

The Faster Hash Map.

A Robust, High Performance JSON Parser and Generator for R.