Read a table of fixed width formatted data of different types into a data.frame for each type.

Nonparametric Tests for Main Effects, Simple Effects and Interaction Effect with Censored Data and Two Factorial Influencing Variables.

Clustering unilayer and multilayer network data by means of finite mixtures is the main utility of netClust.

Similarity measures for hierarchical clustering of objects characterized by nominal (categorical) variables. Evaluation criteria for nominal data clustering.

This package provides carefully chosen color palettes as used a.o. at OpenAnalytics <http://www.openanalytics.eu>.

Allows specification and fitting of some parameter estimation examples inspired by time-resolved spectroscopy via a Shiny GUI.

This package provides a simple package to grab a Bible proverb corresponding to the day of the month.

Incorporate various statistics and layout customization options to enhance the efficiency and adaptability of the Kaplan-Meier plots.

This package provides a set of tools for writing and sharing interactive courses to be used with swirl.

This package provides a set of visual input controls for Shiny apps to facilitate filtering across multiple outputs.

This package contains a set of functions for working with Random Number Generators (RNGs). In particular, it defines a generic S4 framework for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility. Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.

The recount3 package enables access to a large amount of uniformly processed RNA-seq data from human and mouse. You can download RangedSummarizedExperiment objects at the gene, exon or exon-exon junctions level with sample metadata and QC statistics. In addition we provide access to sample coverage BigWig files.

This package provides methods readMat() and writeMat() for reading and writing MAT files. For users with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.

Implementation of the metalog distribution in R. The metalog distribution is a modern, highly flexible, data-driven distribution. Metalogs are developed by Keelin (2016) <doi:10.1287/deca.2016.0338>. This package provides functions to build these distributions from raw data. Resulting metalog objects are then useful for exploratory and probabilistic analysis.

The provided package implements the statistical tests for the functional repeated measures analysis problem (Kurylo and Smaga, 2023, <arXiv:2306.03883>). These procedures enable us to verify the overall hypothesis regarding equality, as well as hypotheses for pairwise comparisons (i.e., post hoc analysis) of mean functions corresponding to repeated experiments.

Combine multiple data files from a common directory. The data files will be read into R and bound together, creating a single large data.frame. A general function is provided along with a specific function for data that was collected using the open-source experiment builder OpenSesame <https://osdoc.cogsci.nl/>.

This package is designed to facilitate the automated gating methods in a sequential way to mimic the manual gating strategy.

This R tool infers, visualizes, and analyzes cell-cell communication networks. It supports scRNA-seq and spatially resolved transcriptomics data.

This package provides a package that makes it easy to implement sankey, alluvial and sankey bump plots in ggplot2.

This package provides an R library to generate Sankey network graphs in R and Shiny via the D3 visualization library.

This package fits multivariate generalized linear mixed models and related models. This is done using Markov chain Monte Carlo techniques.

This package provides beanplots, an alternative to boxplot/stripchart/violin plots. It can be used to plot univariate comparison graphs.

Base annotation databases for worm, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.

The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).