R Weekly 2022-W28 Containers, Conf, Clicks

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This week’s release was curated by Jonathan Carroll, with help from the R Weekly team members and contributors.

Highlight

• Containerizing Interactive R Markdown Documents

• RStudio Recap From the Appsilon Shiny Conference

• How to build an interactive point-and-click game with {Shiny}

Insights

• Containerizing Interactive R Markdown Documents

• Fixed vs. random effects for browsing data - a simulation

• Introducing {weatherkit}: The Eventual Replacement R Package for {darksky}

• Readable code with base R (part 2)

• Updated Comparison of R Graphical User Interfaces

• Reshaping data frames using pivot functions from {tidyr} and tally from {dplyr}

• Colorful R Plots with Wes Anderson Palettes – Pirate Ships

• Slight inconsistency between forcats’ fct_lump_min and fct_lump_prop

• R LightGBM Regression

• One-sample Wilcoxon test in R

• How to install R 3.6.3 (NOT 4+) on Linux MINT 19.x (19.1, 19.2, 19.3)

• Moving to blog.r-project.org

• Recreating the Shiny App tutorial with a Plumber API + React: Part 1

• Three ways to look at #TidyTuesday UK pay gap data

• A Major Contribution to Learning R

• {isocubes} v0.1.2 update with Signed Distance Fields

• How I Use Stories to Share Data at Meetings

• RStudio Recap From the Appsilon Shiny Conference

• Probabilistic forecasting for the UEFA Women’s Euro 2022

• RObservations #34: Using NLP with keras to understand market sentiment with LSTM networks

• The best stats you’ve ever seen

• Stop opening the same RStudio Project twice

R in the Real World

• R Ladies Cuernavaca Partners with Biotechnology Institute to Quickly Expand Reach in 2022

• Virtual Events Opened New Horizons for R-Ladies Dallas

• R Lille Group Organizer, Mickaël Canouil, Talks About Guiding New Users

Resources

• useR! 2022: R’s C interface: Perspectives from Wrapping a C Library (session presentation slides)

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {nestedcv} 0.2.3: Nested Cross-Validation with ‘glmnet’ and ‘caret’
• {delaunay} 1.0.0: 2d, 2.5d, and 3d Delaunay Tessellations
• {rtiddlywiki} 0.1.0: R Interface for ‘TiddlyWiki’
• {dtrackr} 0.2.4: Track your Data Pipelines
• {ggseqplot} 0.6.2: Render Sequence Plots using ‘ggplot2’
• {archetypal} 1.3.0: Finds the Archetypal Analysis of a Data Frame
• {qPCRtools} 0.1.1: Tools for qPCR
• {ixplorer} 0.2.2: Easy DataOps for R Users
• {RcppColors} 0.1.0: ‘C++’ Header Files for Color Conversion and Color Mappings
• {scAnnotate} 0.0.1: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
• {sciRmdTheme} 0.1: Upgraded ‘Rmarkdown’ Themes for Scientific Writing
• {farr} 0.2.27: Data and Code for Financial Accounting Research
• {bandit} 0.5.1: Functions for Simple a/B Split Test and Multi-Armed Bandit Analysis

GitHub or Bitbucket

• {huggingfaceR} 0.1.0: Hugging Face state-of-the-art models in R.

• {s3fs} 0.1.0: File System like API for Amazon Web Service S3.

• {ggcolormeter} 0.1.0: A ggplot2 color/fill legend guide extension in the style of a dashboard meter.

Updated Packages

🔍 Search on R-universe 🔍

• {nanonext} 0.5.2: NNG (Nanomsg Next Gen) Lightweight Messaging Library - diffify
• {ggseqplot} 0.6.2.9000: R library for visualizing (social science) sequence data using ggplot2 - diffify
• {metrica} 2.0.0: Prediction Performance Metrics - diffify
• {rgl} 0.109.6: 3D Visualization Using OpenGL - diffify
• {Rcpp} 1.0.9: Seamless R and C++ Integration - diffify
• {robust} 0.7-1: Port of the S+ “Robust Library” - diffify
• {ggspatial} 1.1.6: Spatial Data Framework for ggplot2 - diffify
• {drda} 2.0.1: Dose-Response Data Analysis - diffify
• {ActivePathways} 1.1.1: Integrative Pathway Enrichment Analysis of Multivariate Omics Data - diffify
• {vmr} 0.0.4: Virtual Machines for R - diffify
• {devtoolbox} 0.2.0: Tools for the R Developer - diffify
• {broman} 0.80: Karl Broman’s R Code - diffify
• {wdpar} 1.3.3: Interface to the World Database on Protected Areas - diffify
• {cna} 3.4.0: Causal Modeling with Coincidence Analysis - diffify
• {usincometaxes} 0.5.0: Calculate Federal and State Income Taxes in the United States - diffify
• {lme4} 1.1-30: Linear Mixed-Effects Models using ‘Eigen’ and S4 - diffify
• {IDSL.MXP} 1.5: Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry Data) - diffify
• {IDSL.IPA} 1.9: Intrinsic Peak Analysis (IPA) for HRMS Data - diffify
• {htmlTable} 2.4.1: Advanced Tables for Markdown/HTML - diffify
• {tune} 1.0.0: Tidy Tuning Tools - diffify
• {nflverse} 1.0.2: Easily Install and Load the ‘nflverse’ - diffify
• {processx} 3.7.0: Execute and Control System Processes - diffify
• {vetr} 0.2.14: Trust, but Verify - diffify
• {cgmanalysis} 2.7.3: Clean and Analyze Continuous Glucose Monitor Data - diffify
• {nflseedR} 1.1.0: Functions to Efficiently Simulate and Evaluate NFL Seasons - diffify
• {shorts} 2.0.0: Short Sprints - diffify
• {webdeveloper} 1.0.1: Functions for Web Development - diffify
• {wrMisc} 1.9.2: Analyze Experimental High-Throughput (Omics) Data - diffify
• {jsTreeR} 2.1.0: A Wrapper of the JavaScript Library ‘jsTree’ - diffify
• {quarto} 1.2: R Interface to ‘Quarto’ Markdown Publishing System - diffify
• {stacks} 1.0.0: Tidy Model Stacking - diffify
• {dockerfiler} 0.2.0: Easy Dockerfile Creation from R - diffify
• {farver} 2.1.1: High Performance Colour Space Manipulation - diffify
• {ctrdata} 1.10.0: Retrieve and Analyze Clinical Trials in Public Registers - diffify
• {oce} 1.7-8: Analysis of Oceanographic Data - diffify
• {broom.helpers} 1.8.0: Helpers for Model Coefficients Tibbles - diffify
• {fastmatrix} 0.4-12: Fast Computation of some Matrices Useful in Statistics - diffify
• {jds.rmd} 0.3.1: R Markdown Templates for Journal of Data Science - diffify
• {tcgaViz} 1.0.1: Visualization Tool for the Cancer Genome Atlas Program (TCGA) - diffify
• {ChaosGame} 1.3: Chaos Game - diffify
• {insight} 0.18.0: Easy Access to Model Information for Various Model Objects - diffify
• {Cairo} 1.6-0: R Graphics Device using Cairo Graphics Library for Creating High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG, PostScript) and Display (X11 and Win32) Output - diffify
• {RSDA} 3.0.12: R to Symbolic Data Analysis - diffify
• {dendextend} 1.16.0: Extending ‘dendrogram’ Functionality in R - diffify
• {csv} 0.6.2: Read and Write CSV Files with Selected Conventions - diffify
• {latticeExtra} 0.6-30: Extra Graphical Utilities Based on Lattice - diffify
• {tinyscholar} 0.1.6: Get and Show Personal ‘Google Scholar’ Profile - diffify
• {rpanel} 1.1-5.1: Simple Interactive Controls for R using the ‘tcltk’ Package - diffify
• {gam} 1.20.2: Generalized Additive Models - diffify
• {bizicount} 1.1.0: Bivariate Zero-Inflated Count Models Using Copulas - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• How to style your Quarto blog without knowing a lot of HTML/CSS

• How to build an interactive point-and-click game with {Shiny}

• Extracting spatial data from OpenStreetMap

• #TidyX Episode 108

Gist & Cookbook

• Washington Post Data Team Logo Generator

Tutorials

• Demystifying delayed aesthetic evaluation: Part 2

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• SatRdays: Using R for Data Science and Epidemiology - Aug 6, 2022

• rstudio::conf(2022) Conference Schedule

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

👯 I keep opening the same #RStudio Project twice because I am foolish. So I wrote an #RStats function to tell me when I'm being foolish.
📝 Post: https://t.co/P9dGZAQQwl
🐙 Gist: https://t.co/nwfQ5KyQTH pic.twitter.com/HCYZrjajvm

— Matt Dray (@mattdray) July 8, 2022

#RStats tip that I got from @gavinprm and now use daily. If you want to close all your @rstudio source files, except the one you're on, use Ctrl + Alt +Shift +W. No more closing every single script and view to clean things up.

— Oscar Baruffa (@OscarBaruffa) July 4, 2022

🚀 pic.twitter.com/TtrDpv5Big

— Romain François (@romain_francois) July 6, 2022

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