R is a programming language and environment primarily used for statistical computing and data analysis. It provides a wide variety of statistical and graphical techniques and is widely used in data science, statistics, and academia for tasks like data manipulation, visualization, and modeling.
A framework for building interactive web applications in R, particularly for data analysis and visualization.
A data visualization package for R that uses the Grammar of Graphics to create complex and customizable visualizations.
A powerful package for data manipulation that simplifies common data transformation tasks like filtering, grouping, and summarizing data.
A package that provides functions for tidying up data, helping to reshape datasets into a consistent format for analysis.
A comprehensive framework for building predictive models in R, including preprocessing, feature selection, and evaluation.
A framework for creating REST APIs in R by simply decorating functions with special comments.
A framework for creating dynamic documents, reports, presentations, and dashboards in R by combining code and narrative.
A high-performance package for data manipulation, particularly useful for large datasets.
A package for working with time series data in R, providing a convenient way to manipulate and analyze time-based data.
A package that makes it easier to work with dates and times in R.
A package that facilitates the integration of R and C++ code, allowing for improved performance in computationally intensive tasks.
A testing framework for R, providing functions to write unit tests for R code.
A tool for dynamic report generation in R, converting R Markdown files into HTML, PDF, and other formats.
A library for creating interactive plots and dashboards in R.