This package provides a package containing an environment representing the HG_U95B.CDF file.

This package provides a package containing an environment representing the MG_U74B.cdf file.

This package provides a package containing an environment representing the MG_U74A.cdf file.

This package provides a package containing an environment representing the MG_U74C.cdf file.

This package provides a package containing an environment representing the Pae_G1a.CDF file.

This package provides a package containing an environment representing the Yeast_2.cdf file.

This package provides algorithms for frequency-based pairing of alpha-beta T cell receptors.

This package provides a GUI with which users can construct and interact with biplots.

This package provides a system for creating R Markdown reports with a sequential syntax.

Read Condensed Cornell Ecology Program ('CEP') and legacy CANOCO files into R data frames.

Quickly and easily create codebooks (i.e. data dictionaries) directly from a data frame.

Allows users to identify similar cases for qualitative case studies using statistical matching methods.

Programmatic access to the DuckDuckGo Instant Answer API <https://api.duckduckgo.com/api>.

This package provides functionality that assists in tabular description and statistical comparison of data.

Create a flip over style Flash Card with desired data frame for Shiny application.

Create hexagonal heatmaps with ggplot2', using the size aesthetic to variably size each hexagon.

Shiny-App that allows to annotate vectors of texts to predefined categories by hand.

Automatic construction of regular and irregular histograms as described in Rozenholc/Mildenberger/Gather (2010).

Facilitates automated HTML report creation, in particular framed HTML pages and dynamically sortable tables.

Implementation of Isolation kernel (Qin et al. (2019) <doi:10.1609/aaai.v33i01.33014755>).

Useful shiny production-ready modules and helpers such as login window and visualization tools.

Syntactic shortcuts for creating synthetic lists, vectors, data frames, and matrices using list comprehension.

Empirical or simulated disease outbreak data, provided either as RData or as text files.

Quickly visualize R project directory structures with automatic project detection and clean tree output.