R Weekly 2024-W13 Testing R packages, rspell, Aligning content with flexboxes

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Hello and welcome to this new issue!

• How to have (my) content shared by R Weekly?

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

Highlight

• Update on mocking for testing R packages

• {rspell} Are you writing in a foreign language? The RStudio spelling dictionary setting is not sufficient to correct grammar errors. Try the {rspell} package to grammar-proof your notebooks and documentation straight on RStudio without copying-pasting.

• 3MW (Aligning content with flexboxes)

Insights

• What Does a Statistical Method Assume?

• ggbrick is now on CRAN

• Fair machine learning with tidymodels

R in the Real World

• Who’s funding the politics in India?

R in Organizations

• Offa R Users Group: Empowering Data-Driven Education in Nigeria

• Techguides Update: package dependencies, deployment and Shiny CI/CD!

Resources

• Modernizing Clinical Trial Design and Analysis to Improve Efficiency & Flexibility

• Visualizing Uncertainty

New Packages

📦 Go Live for More New Pkgs 📦

{rspell} Are you writing in a foreign language? The RStudio spelling dictionary setting is not sufficient to correct grammar errors. Try the {rspell} package to grammar-proof your notebooks and documentation straight on RStudio without copying-pasting.

• littler 0.3.20 on CRAN: Moar Features!

CRAN

• {qtlpoly} 0.2.4: Random-Effect Multiple QTL Mapping in Autopolyploids

• {MetaNet} 0.1.2: Network Analysis for Omics Data

• {gamlss.ggplots} 2.1-12: Plotting Functions for Generalized Additive Model for Location Scale and Shape

• {Dtableone} 1.1.0: Tabular Comparison of Paired Diagnostic Tests

• {PolyTree} 0.0.1: Estimate Causal Polytree from Data

• {ieugwasr} 0.2.0: Interface to the ‘OpenGWAS’ Database API

• {biopixR} 0.2.4: Extracting Insights from Biological Images

• {TCPMOR} 1.0: Two Cut-Points with Maximum Odds Ratio

• {tradepolicy} 0.7.0: Replication of ‘An Advanced Guide To Trade Policy Analysis’

• {SCdeconR} 1.0.0: Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference

• {OncoSubtype} 1.0.0: Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method

• {SchoolDataIT} 0.1.0: Retrieve, Harmonise and Map Open Data Regarding the Italian School System

• {causalHyperGraph} 0.1.0: Drawing Causal Hypergraphs

• {ssd4mosaic} 1.0.1: Web Application for the SSD Module of the MOSAIC Platform

• {param2moment} 0.1.0: Raw, Central and Standardized Moments of Parametric Distributions

• {rqti} 0.1.1: Create Tests According to QTI 2.1 Standard

• {MPCR} 1.1: Multi- And Mixed-Precision Computations

• {survivalmodels} 0.1.191: Models for Survival Analysis

• {pcutils} 0.2.5: Some Useful Functions for Statistics and Visualization

• {lrstat} 0.2.4: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

• {bsitar} 0.2.1: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis

• {immunarch} 0.9.1: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires Geography’ APIs

• {QTE.RD} 1.0.0: Quantile Treatment Effects under the Regression Discontinuity Design

• {cardx} 0.1.0: Extra Analysis Results Data Utilities

• {mosaicCalc} 0.6.1: R-Language Based Calculus Operations for Teaching

Updated Packages

🔍 Search on R-universe 🔍

• {webmap} 1.1.0: Create Interactive Web Maps Using ‘The National Map’ Services - diffify

• {xfun} 0.43: Supporting Functions for Packages Maintained by ‘Yihui Xie’ - diffify

• {pointblank} 0.12.1: Data Validation and Organization of Metadata for Local and Remote Tables - diffify

• {crew} 0.9.1: A Distributed Worker Launcher Framework - diffify

• {qpdf} 1.3.3: Split, Combine and Compress PDF Files - diffify

• {nflplotR} 1.3.1: NFL Logo Plots in ‘ggplot2’ and ‘gt’ - diffify

• {ggScatRidges} 0.1.1: Scatter Plot Combined with Ridgelines in ‘ggplot2’ - diffify

• {ggtern} 3.5.0: An Extension to ‘ggplot2’, for the Creation of Ternary Diagrams - diffify

• {see} 0.8.3: Model Visualisation Toolbox for ‘easystats’ and ‘ggplot2’ - diffify

• {margins} 0.3.26.1: Marginal Effects for Model Objects - diffify

• {dmai} 0.5.0: Divisia Monetary Aggregates Index - diffify

• {xaringan} 0.30: Presentation Ninja - diffify

• {WeightIt} 1.0.0: Weighting for Covariate Balance in Observational Studies - diffify

• {GofCens} 0.98: Goodness-of-Fit Methods for Complete and Right-Censored Data - diffify

• {bslib} 0.6.2: Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’ - diffify

• {geonapi} 0.7-2: ‘GeoNetwork’ API R Interface - diffify

• {crayons} 0.0.3: Color Palettes from Crayon Boxes - diffify

• {workflowsets} 1.1.0: Create a Collection of ‘tidymodels’ Workflows - diffify

• {rollama} 0.0.3: Communicate with ‘Ollama’ - diffify

• {ggprism} 1.0.5: A ‘ggplot2’ Extension Inspired by ‘GraphPad Prism’ - diffify

• {ggscidca} 0.2.0: Plotting Decision Curve Analysis with Coloured Bars - diffify

• {LifemapR} 1.1.1: Data Visualisation on ‘Lifemap’ Tree - diffify

• {envalysis} 0.7.0: Miscellaneous Functions for Environmental Analyses - diffify

• {dbplyr} 2.5.0: A ‘dplyr’ Back End for Databases - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Tutorials

• Update on mocking for testing R packages

• 3MW (Aligning content with flexboxes)

• Using R and Python Together, Seamlessly: A Case Study Using OpenAI’s GPT Models

• Causal Effect of Approval of ETF for Bitcoin on the Prices

• Modeling my pinball scores

• Wrangling Data with R: A Guide to the tapply() Function

• Mastering Data Manipulation in R with the Sweep Function

• Mastering Replacement: Using the replace() Function in R

• Mastering Data Segmentation: A Guide to Using the cut() Function in R

• How to Replicate Rows in a Data Frame in R

• Introducing plot_regression_residuals() from tidyAML: Unveiling the Power of Visualizing Regression Residuals

R Project Updates

Updates from R Core:

Updates from the R Contribution Working Group (RCWG):

• Announcing R Dev Day @ Imperial, London, UK on Friday 26 April. Registration deadline Sunday 14 April.

Upcoming Events in 3 Months

Events in 3 Months:

• R/Medicine Coming June 10-14, 2024 – Call for Abstracts Open – Keynotes Announced

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• Introduction to Causal Machine Learning estimators in R

• 2024 Workshops Series Kick-off

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Image of Vila Velha, Brazil created in #rstats using data from #OpenStreetMap. pic.twitter.com/urleB1PeoE

— R City Views (@rcityviews) March 25, 2024

Quotes of the Week

Working in #rstats be like pic.twitter.com/6dg2BOy7M3

— Brier Gallihugh, M.S (@Brier_Gallihugh) March 19, 2024

Inferencia causal en #RStats
✅ Causal Inference https://t.co/4MC37d780n by @LucyStats, @malco_barrett & @travisgerke
✅ Targeted Learning with tlverse https://t.co/toTffNgMBW by @mark_vdlaan et al.
✅ Introduction to Causal Inference https://t.co/FNsoPoTuDJ by @DrMayaPetersen pic.twitter.com/BYX5PBwYIt

— Rosana Ferrero 📈📊🙌 (@RosanaFerrero) March 25, 2024

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