{symphony} 0.1.0: Efficient and Precise Single-Cell Reference Atlas Mapping
{chatgpt} 0.1.4: Interface to ‘ChatGPT’ from R
{autoGO} 0.9: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations
{usedthese} 0.1.0: Summarises Package & Function Usage
{scenes} 0.1.0: Switch Between Alternative ‘shiny’ UIs
{loadeR} 1.1.1: Load Data for Analysis System
{roxytest} 0.0.2: Various Tests with ‘roxygen2’
{pkgmaker} 0.32.7: Development Utilities for R Packages
{timeLineGraphics} 1.0: HTML with Horizontal Strips Symbolizing Events in a Person’s Life
{plantTracker} 1.0.1: Extract Demographic and Competition Data from Fine-Scale Maps
{zoomr} 0.1.1: Connect to Your ‘Zoom’ Data
{scROSHI} 1.0.0.0: Robust Supervised Hierarchical Identification of Single Cells
{options} 0.0.1: Simple, Consistent Package Options
{paramGUI} 2.2.0: A Shiny GUI for some Parameter Estimation Examples
{packagefinder} 0.3.4: Comfortable Search for R Packages on CRAN, Either Directly from the R Console or with an R Studio Add-in
{mdsr} 0.2.7: Complement to ‘Modern Data Science with R’

GitHub or Bitbucket

whatarelief

Updated Packages

🔍 Search on R-universe 🔍

{reproducer} 0.5.0: Reproduce Statistical Analyses and Meta-Analyses - diffify
{biomod2} 4.2-2: Ensemble Platform for Species Distribution Modeling - diffify
{starry} 0.1.2: Explore Data with Plots and Tables - diffify
{spsurvey} 5.4.1: Spatial Sampling Design and Analysis - diffify
{mikropml} 1.5.0: User-Friendly R Package for Supervised Machine Learning Pipelines - diffify
{landsepi} 1.2.4: Landscape Epidemiology and Evolution - diffify
{FAIRmaterials} 0.2.0: Make Materials Data FAIR - diffify
{dbplyr} 2.3.0: A ‘dplyr’ Back End for Databases - diffify
{anipaths} 0.10.2: Animation of Multiple Trajectories with Uncertainty - diffify
{DiceView} 2.1-0: Methods for Visualization of Computer Experiments Design and Surrogate - diffify
{ngramr} 1.9.3: Retrieve and Plot Google n-Gram Data - diffify
{geomorph} 4.0.5: Geometric Morphometric Analyses of 2D and 3D Landmark Data - diffify
{shiny.i18n} 0.3.0: Shiny Applications Internationalization - diffify
{doRNG} 1.8.6: Generic Reproducible Parallel Backend for ‘foreach’ Loops - diffify
{this.path} 1.2.0: Get Executing Script’s Path, from ‘Rgui’, ‘RStudio’, ‘VSCode’, ‘source()’, and ‘Rscript’ (Shells Including Windows Command Line / / Unix Terminal) - diffify
{schtools} 0.4.0: Schloss Lab Tools for Reproducible Microbiome Research - diffify
{mlflow} 2.1.1: Interface to ‘MLflow’ - diffify
{pak} 0.4.0: Another Approach to Package Installation - diffify
{dataverse} 0.3.12: Client for Dataverse 4+ Repositories - diffify
{edeaR} 0.9.2: Exploratory and Descriptive Event-Based Data Analysis - diffify
{gdtools} 0.3.0: Utilities for Graphical Rendering and Fonts Management - diffify
{ggspectra} 0.3.10: Extensions to ‘ggplot2’ for Radiation Spectra - diffify
{collapse} 1.9.0: Advanced and Fast Data Transformation - diffify
{r2resize} 1.4: In-Text Expandable and Resizable Containers, Images and Data Tables in ‘Shiny’, ‘Markdown’ and ‘Quarto’ Documents - diffify
{styler} 1.9.0: Non-Invasive Pretty Printing of R Code - diffify
{tidyquery} 0.2.4: Query ‘R’ Data Frames with ‘SQL’ - diffify
{explore} 1.0.2: Simplifies Exploratory Data Analysis - diffify
{SCpubr} 1.1.1: Generate Publication Ready Visualizations of Single Cell Transcriptomics Data - diffify
{RNAsmc} 0.8.0: RNA Secondary Structure Module Mining, Comparison and Plotting - diffify
{KMunicate} 0.2.3: KMunicate-Style Kaplan–Meier Plots - diffify
{shapviz} 0.4.1: SHAP Visualizations - diffify

Videos and Podcasts

Listen to the R-Weekly Highlights Podcast

Tutorials

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

rtistry

library(tidyverse)
seq(from=-10, to=10, by = 0.05) %>%
expand.grid(x=., y=.) %>%
ggplot(aes(x=(x+pi*sin(y)), y=(y+pi*sin(x)))) +
geom_point(alpha=.1, shape=20, size=1, color="black")+
theme_void()#rstats #maths #generativeart #ggplot2 pic.twitter.com/Iq4bSeNAD4
— Antonio Sánchez Chinchón (@aschinchon) January 15, 2023

Quotes of the Week

Fun yet cruel #rstats #R pic.twitter.com/zei1hsfp4f
— Racha (@Racha_R_G) January 16, 2023

A good number of requests for a population density map of Pakistan so here's one! #rayshader adventures, an #rstats tale pic.twitter.com/4LXBiKL7nm
— terence fosstodon (@researchremora) January 13, 2023

Older Newer