R Weekly 2023-W25 slice(), columns, Bayes
This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors.
Highlight
Insights
- Step By Step: recreating a volcano plot in R
- Bayesian structural equation model tutorial
- My Computer Can Read!
- Row relational operations with slice()
- R and OOP anti-patterns
- Automating End-to-End Cypress Tests in Rhino: A Guide to Seamless UI Testing for Shiny Apps
- Mastering the Power of R’s diff() Function: A Programmer’s Guide
- Introduction to Linear Regression in R: Analyzing the mtcars Dataset with lm()
- Pulling a formula from a recipe object
- Merging columns together and fixing up column labels in {gt} 0.9.0
- Simplifying Model Formulas with the R Function ‘reformulate()’
- Understanding the file.info() Function in R: Listing Files by Date
- How to Write Conditional Statements in R: Four Methods
- Easy and secure database access with a custom R6 package
R in the Real World
R in Organizations
R Users
Resources
New Packages
CRAN
- safetensors 0.1.0
- {safetensors} 0.1.0: Safetensors File Format
- {fakemake} 1.11.0: Mock the Unix Make Utility
- {cleanr} 1.4.0: Helps You to Code Cleaner
- {reslr} 0.1.1: Modelling Relative Sea Level Data
- {pivotea} 1.0.0: Create Pivot Table Easily
- {funpca} 9.0: Functional Principal Component Analysis
- {csalert} 2023.6.17: Alerts from Public Health Surveillance Data
- {CIfinder} 1.0.0: Estimate the Confidence Intervals for Predictive Values
- {read.dbc} 1.0.6: Read Data Stored in DBC (Compressed DBF) Files
- {ggaligner} 0.1: Visualizing Sequence Alignment by Generating Publication-Ready Plots
- {boxly} 0.1.0: Interactive Box Plot
- {ergmito} 0.3-1: Exponential Random Graph Models for Small Networks
- {document} 4.0.0: Run ‘roxygen2’ on (Chunks of) Single Code Files
- {vvtableau} 0.0.1: R Interface for ‘Tableau’ Services
- {vvcanvas} 0.0.1: ‘Canvas’ LMS API Integration
- {rasciidoc} 4.1.0: Create Reports Using R and ‘asciidoc’
- {disclosuR} 0.0.1.0: Text Conversion from Nexis Uni PDFs to R Data Frames
- {TrumpetPlots} 0.0.1.1: Visualization of Genetic Association Studies
- {risks} 0.4.2: Estimate Risk Ratios and Risk Differences using Regression
- {piglet} 1.0.0: Program for Inferring Ig Allele Similarity Clusters and Genotypes
- {msentropy} 0.1.2: Spectral Entropy for Mass Spectrometry Data
- {gps.track} 1.0.0: GPS Track Point Information Extractor
- {GeneScape} 1.0: Simulation of Single Cell RNA-Seq Data with Complex Structure
- {aion} 1.0.0: Archaeological Time Series
- {pcutils} 0.1.0: Some Useful Functions for Statistics and Visualization
- {hdflex} 0.1.0: High-Dimensional Aggregate Density Forecasts
- {tdata} 0.2.0.0: Prepare Your Time-Series Data for Further Analysis
- {pgenlibr} 0.3.5: PLINK 2 Binary (.pgen) Reader
- {morestopwords} 0.2.0: All Stop Words in One Place
- {singleRcapture} 0.2.0: Single-Source Capture-Recapture Models
- {mlexperiments} 0.0.2: Machine Learning Experiments
Updated Packages
- sanitizers 0.1.1 on CRAN: Updated and Expanded
- {sanitizers} 0.1.1: C/C++ Source Code to Trigger Address and Undefined Behaviour
- {rdwd} 1.7.1: Select and Download Climate Data from ‘DWD’ (German Weather Service) - diffify
- {ezplot} 0.7.8: Functions for Common Chart Types - diffify
- {ggPMX} 1.2.10: ‘ggplot2’ Based Tool to Facilitate Diagnostic Plots for NLME Models - diffify
- {echarts4r} 0.4.5: Create Interactive Graphs with ‘Echarts JavaScript’ Version 5 - diffify
- {datawizard} 0.8.0: Easy Data Wrangling and Statistical Transformations - diffify
- {octopus} 0.3.0: A Database Management Tool - diffify
- {logrx} 0.2.2: A Logging Utility Focus on Clinical Trial Programming Workflows - diffify
- {PaRe} 0.1.10: A Way to Perform Code Review or QA on Other Packages - diffify
- {duckdb} 0.8.1: DBI Package for the DuckDB Database Management System - diffify
- {sen2r} 1.5.5: Find, Download and Process Sentinel-2 Data - diffify
- {testthat} 3.1.9: Unit Testing for R - diffify
- {bs4Dash} 2.3.0: A ‘Bootstrap 4’ Version of ‘shinydashboard’ - diffify
- {tarchetypes} 0.7.7: Archetypes for Targets - diffify Tool - diffify
- {sportyR} 2.2.1: Plot Scaled ‘ggplot’ Representations of Sports Playing Surfaces - diffify
- {rotl} 3.1.0: Interface to the ‘Open Tree of Life’ API - diffify
- {pharmr} 0.96.0: Interface to the ‘Pharmpy’ ‘Pharmacometrics’ Library - diffify
- {usedthese} 0.3.3: Summarises Package & Function Usage - diffify
- {arrow} 12.0.1: Integration to ‘Apache’ ‘Arrow’ - diffify
- {vctrs} 0.6.3: Vector Helpers - diffify
- {StanHeaders} 2.26.27: C++ Header Files for Stan - diffify
- {animint2} 2023.6.11: Animated Interactive Grammar of Graphics - diffify
- {pkgcache} 2.1.1: Cache ‘CRAN’-Like Metadata and R Packages - diffify
- {pkgbuild} 1.4.1: Find Tools Needed to Build R Packages - diffify
- {multcomp} 1.4-24: Simultaneous Inference in General Parametric Models - diffify
- {gprofiler2} 0.2.2: Interface to the ‘g:Profiler’ Toolset - diffify
- {and} 0.1.4: Construct Natural-Language Lists with Internationalization - diffify
- {iai} 1.10.0: Interface to ‘Interpretable AI’ Modules - diffify
- {texor} 1.0.3: Converting ‘LaTeX’ ‘R Journal’ Articles into ‘RJ-web-articles’ - diffify
- {usmap} 0.6.2: US Maps Including Alaska and Hawaii - diffify
- {rayshader} 0.35.7: Create Maps and Visualize Data in 2D and 3D - diffify
- {R6causal} 0.8.0: R6 Class for Structural Causal Models - diffify
- {politeness} 0.9.0: Detecting Politeness Features in Text - diffify
- {httptest} 4.2.1: A Test Environment for HTTP Requests - diffify
- {admiralonco} 0.4.0: Oncology Extension Package for ADaM in ‘R’ Asset Library - diffify
- {admiralophtha} 0.2.0: ADaM in R Asset Library - Ophthalmology - diffify
- {googledrive} 2.1.1: An Interface to Google Drive - diffify Sanitizers - diffify
- {ggeffects} 1.2.3: Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs - diffify
- {googlesheets4} 1.1.1: Access Google Sheets using the Sheets API V4 - diffify
- {gargle} 1.5.0: Utilities for Working with Google APIs - diffify
Videos and Podcasts
Tutorials
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
-
‘Advanced Shiny Development’ the hands-on workshop - June 21, 2023
-
Mapping and Spatial Analysis with the 2020 Decennial Census - June 22, 2023
-
Building reproducible analytical pipelines in R workshop - June 29, 2023
-
posit::conf(2023) (formerly rstudio::conf) - September 17-20, 2023
-
Learnings and Reflection from Case Studies: What is Next for the R Validation Hub?
-
Introduction to Supervised Text Classification in R workshop
Jobs
💼 Explore Jobs & Gigs Board on RStudio Community 💼