Data Analysis with R

move2utils: a utility toolkit for the move2 ecosystem

move2utils provides R functions to transition movement analysis tools from the move package to move2, preserving legacy methods and adding new outlier detection.

cran2crux: automatically create CRUX ports for R-packages

cran2crux automatically generates CRUX ports for R packages, simplifying their integration with the CRUX package manager.

Efficient and Tidy Manipulation of Annotated Matrix Data with plyxp

The paper introduces plyxp, an R package that provides a grammar for efficiently manipulating annotated matrix data in the Bioconductor ecosystem.

ggrecipes: An R Package for Custom Visualizations using ggplot2

ggrecipes provides R functions for data exploration and analysis using ggplot2, returning customizable ggplot2 objects for further modification.

BoundaryStats: An R package to calculate boundary overlap statistics

The paper introduces BoundaryStats, an R package that implements boundary and boundary overlap statistics for spatial analysis, making these methods more accessible across platforms.

An R package for ensemble learning stacking

The paper introduces an R package for ensemble learning stacking, enabling one-row scripts for training and prediction.

NeuroDecodeR: A package for neural decoding analyses in R

NeuroDecodeR simplifies neural decoding analyses in R by providing a modular package with data formatting guidance and real-data examples.

pkgndep: a tool for analyzing dependency heaviness of R packages

The paper introduces a tool to analyze dependency heaviness in R packages and performs a global analysis of dependencies in CRAN and Bioconductor ecosystems.

Plotgardener: Cultivating precise multi-panel figures in R

Plotgardener enables precise, programmatic creation of multi-panel figures in R by offering coordinate-based control over plot placement and aesthetics.

drda: An R package for dose-response data analysis

The paper introduces the drda R package for dose-response data analysis, offering improved accuracy through optimized least-squares methods and demonstrates its performance on a drug sensitivity dataset.

Rethomics: an R framework to analyse high-throughput behavioural data

Rethomics provides an R framework for analyzing high-throughput behavioral data, offering tools for storage, manipulation, and visualization to bridge behavioral biology and data science.

beachmat: a Bioconductor C++ API for accessing single-cell genomics data from a variety of R matrix types

The paper introduces beachmat, a C++ API for efficient access to single-cell genomics data in various R matrix formats, demonstrating its performance and integration capabilities.

Easyml: Easily Build And Evaluate Machine Learning Models

Easyml provides a unified framework for building and evaluating machine learning models in R and Python, with standardized recipes and automated reporting.