R Weekly 2023-W21 HTTP Testing, ggblend, Handling Dates in R and Excel

22 May 2023

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

Highlight

• Better Understanding Your Tools Choices with Online Book HTTP Testing in R

• ggblend: Blending and compositing algebra for ggplot2

• Why should I use R: Handling Dates in R and Excel: Part 3

Insights

• Achieve your target

• The Status of the DT Package

• Better Understanding Your Tools Choices with Online Book HTTP Testing in R

• RcppSimdJson 0.1.10 on CRAN: New Upstream

• desirability2

R in the Real World

• Building the Crappyverse #1: ccat()

• “Climate spiral” – Plotting GISS Surface Temperature

R in Organizations

• rOpenSci News Digest, May 2023

• rOpenSci Champions Program Teams: Meet César and Marc

• Welcome to our newest member Parexel!

• CRediTas is Now Part of rOpenSci

R in Academia

• Correcting selection effects of noisy polygenic scores: an idiot’s guide

• A guide to Bayesian proportion tests with R and {brms}: Use R, Stan, and {brms} to calculate differences between categorical proportions in a principled Bayesian way

• Model Misspecification and Linear Sandwiches

Resources

• Demystifying Item Response Theory (1/4)

• Yihui’s Webinar on R Markdown v1 at the ASA Philadelphia Chapter

• R Workflow for Reproducible Data Analysis and Reporting Course

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {ggblend} 0.1.0: Blending and Compositing Algebra for ‘ggplot2’

• {tidysynth} 0.2.0: A Tidy Implementation of the Synthetic Control Method

• {emBayes} 0.1.0: Robust Bayesian Variable Selection via Expectation-Maximization

• {rDEA} 1.2-7: Robust Data Envelopment Analysis (DEA) for R

• {randnet} 0.7: Random Network Model Estimation, Selection and Parameter Tuning

• {modelfree} 1.2: Model-Free Estimation of a Psychometric Function

• {snvecR} 3.7.5: Calculate Earth’s Obliquity and Precession in the Past

• {nonLinearDotPlot} 0.5.0: Non Linear Dot Plots

• {bcv} 1.0.2: Cross-Validation for the SVD (Bi-Cross-Validation)

• {vol2birdR} 1.0.1: Vertical Profiles of Biological Signals in Weather Radar Data

• {CSIndicators} 1.0.1: Climate Services’ Indicators Based on Sub-Seasonal to Decadal Predictions

• {Bernadette} 1.1.1: Bayesian Inference and Model Selection for Stochastic Epidemics

• {Morphoscape} 1.0.2: Computation and Visualization of Adaptive Landscapes

• {Certara.NLME8} 1.2.3: Utilities for Certara’s Nonlinear Mixed-Effects Modeling Engine

• {BIDistances} 0.0.2: Bioinformatic Distances

• {cascadeSelect} 1.0.0: A Cascade Select Input for ‘Shiny’

• {volcano3D} 2.0.9: 3D Volcano Plots and Polar Plots for Three-Class Data

• {agena.ai} 1.0.0: R Wrapper for ‘agena.ai’ API

• {navigation} 0.0.1: Analyze the Impact of Sensor Error Modelling on Navigation Performance

• {compindPCA} 0.1.0: Computation of Relative Weights of Variables and Composite Index Values Based on PCA

• {OpenRepGrid} 0.1.14: Tools to Analyze Repertory Grid Data

• {wcox} 1.0: Weights to Correct for Outcome Dependent Sampling in Time to Event Data

• {validateIt} 1.2.1: Validating Topic Coherence and Topic Labels

• {isopleuros} 1.0.0: Ternary Plots

• {baldur} 0.0.1: Bayesian Hierarchical Modeling for Label-Free Proteomics

• {boostingDEA} 0.1.0: A Boosting Approach to Data Envelopment Analysis

• {weatherindices} 0.1.0: Calculate Weather Indices

• {denguedatahub} 1.0.4: A Tidy Format Datasets of Dengue by Country

• {Tex4exams} 0.1.2: Generating ‘Sweave’ Code for ‘R/exams’ Questions in Mathematics

• {jewel} 2.0.0: Graphical Models Estimation from Multiple Sources

• {rchemo} 0.1-1: Dimension Reduction, Regression and Discrimination for Chemometrics

Updated Packages

🔍 Search on R-universe 🔍

• {mirai} 0.8.7: Minimalist Async Evaluation Framework for R

• {scribe} 0.2.0: Command Argument Parsing - diffify

• {fuj} 0.1.3: Functions and Utilities for Jordan - diffify

• {vivainsights} 0.3.1: Analyze and Visualize Data from ‘Microsoft Viva Insights’ - diffify

• {igraph} 1.4.3: Network Analysis and Visualization - diffify

• {spant} 2.12.0: MR Spectroscopy Analysis Tools - diffify

• {future.tests} 0.7.0: Test Suite for ‘Future API’ Backends - diffify

• {TreeBUGS} 1.5.0: Hierarchical Multinomial Processing Tree Modeling - diffify

• {aRtsy} 0.2.3: Generative Art with ‘ggplot2’ - diffify

• {areaplot} 2.0.0: Plot Stacked Areas and Confidence Bands as Filled Polygons - diffify

• {tutorial.helpers} 0.2.5: Helper Functions for Creating Tutorials - diffify

• {IsoplotRgui} 5.3: Web Interface to ‘IsoplotR’ - diffify

• {bspm} 0.5.2: Bridge to System Package Manager - diffify

• {JGR} 1.9-2: Java GUI for R - diffify

• {OpenImageR} 1.2.9: An Image Processing Toolkit - diffify

• {mlflow} 2.3.2: Interface to ‘MLflow’ - diffify

• {modelsummary} 1.4.1: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready - diffify

• {PlaneGeometry} 1.4.0: Plane Geometry - diffify

• {BFS} 0.4.7: Get Data from the Swiss Statistical Office - diffify

• {conf} 1.8.1: Visualization and Analysis of Statistical Measures of Confidence - diffify

• {EDCimport} 0.3.0: Import Data from EDC Software - diffify

• {PlotTools} 0.2.0: Add Continuous Legends to Plots - diffify

• {redland} 1.0.17-16.1: RDF Library Bindings in R - diffify

• {materialmodifier} 1.2.0: Apply Photo Editing Effects - diffify

• {shiny.exe} 0.2.0: Launch a Shiny Application without Opening R or RStudio - diffify

• {crosstalkr} 1.0.2: Analysis of Graph-Structured Data with a Focus on Protein-Protein Interaction Networks - diffify

• {ottrpal} 1.1.1: Companion Tools for Open-Source Tools for Training Resources (OTTR) - diffify

• {DiagrammeR} 1.0.10: Graph/Network Visualization - diffify

• {DT} 0.28: A Wrapper of the JavaScript Library ‘DataTables’ - diffify

• {hockeystick} 0.7.3: Download and Visualize Essential Climate Change Data - diffify

• {gpg} 1.2.9: GNU Privacy Guard for R - diffify

• {prolific.api} 0.5.1: A User-Friendly Interface for Accessing the Prolific API - diffify

• {drhur} 1.1.0: Learning R with Dr. Hu - diffify

• {ausplotsR} 1.2.9: TERN AusPlots Analysis Package - diffify

• {basefun} 1.1-4: Infrastructure for Computing with Basis Functions - diffify

• {valr} 0.6.8: Genome Interval Arithmetic - diffify

• {goeveg} 0.6.4: Functions for Community Data and Ordinations - diffify

• {geojsonio} 0.11.1: Convert Data from and to ‘GeoJSON’ or ‘TopoJSON’ - diffify

• {graphicalVAR} 0.3.1: Graphical VAR for Experience Sampling Data - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Yuri Pribish: New approach of visualisation with set of query in human readable way

• Carson Sievert: Towards the next generation of Shiny UI

• Paweł Rucki, Dony Unardi: Introduction to {teal}

• Quarto for Academics, Mine Çetinkaya-Rundel

• Posit Connect, Provide Authenticated Access to Your Data Products

Shiny Apps

• Calculating the CoDE-ACS score with the online app

Tutorials

• Mastering SST & SSE in R: A Complete Guide for Analysts

• Why should I use R: Handling Dates in R and Excel: Part 3

• sp evolution status: examples of migration from retiring packages

• Predict the magnitude of #TidyTuesday tornadoes with effect encoding and xgboost

• Scheduling Mastodon Posts in R with rtoot and GitHub Actions

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• The 15th Annual R/Finance Conference 2023

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

Quotes of the Week

No matter how long I’ve been doing data science, I still get smacked in the face every once in a while.

True story. 🧵 #datascience #rstats pic.twitter.com/AVy6mgUwxf

— Matt Dancho (Business Science) (@mdancho84) May 21, 2023