R Weekly 2024-W17 volcano plots, box, duckplyr

22 Apr 2024

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

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New Packages

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CRAN

{sqltargets} - targets extension for standalone SQL files.
{bagyo} 0.1.1: Philippine Tropical Cyclones Data (post)
{RbyExample} 0.0.100: Data for the Book “R by Example”
{login} 0.9.3: ‘shiny’ Login Module
{geonode4R} 0.1: Interface to ‘GeoNode’ REST API
{xlcharts} 0.0.1: Create Native ‘Excel’ Charts and Work with Microsoft ‘Excel’ Files
{future.mirai} 0.2.0: A ‘Future’ API for Parallel Processing using ‘mirai’
{ipeaplot} 0.3.1: Add Ipea Editorial Standards to ‘ggplot2’ Graphics
{sentopics} 0.7.3: Tools for Joint Sentiment and Topic Analysis of Textual Data
{filters} 0.3.1: A “Snake_case” Filter System for R
{DataPackageR} 0.15.9: Construct Reproducible Analytic Data Sets as R Packages
{Paris2024Colours} 0.1.2: Color Palettes Inspired by Paris 2024 Olympic and Paralympic Games
{cardinalR} 0.1.1: Collection of Data Structures
{mapmisc} 2.1.0: Utilities for Producing Maps
{reproducible} 2.0.12: Enhance Reproducibility of R Code
{zendown} 0.0.2: Access Files from ‘Zenodo’ Deposits
{ElevDistr} 1.0.8: Calculate the Distance to the Nearest Local Treeline
{relcircle} 1.0: Draw Regulatory Relationships Between Genes
{heck} 0.1.0: Highly Performant String Case Converter
{smplot2} 0.2.0: Creating and Annotating a Composite Plot in ‘ggplot2’
{WayFindR} 0.1.2: Computing Graph Structures on WikiPathways

GitHub or Bitbucket

{rrr}

Updated Packages

🔍 Search on R-universe 🔍

gssr is now two packages: gssr and gssrdoc
{RcppArmadillo} 0.12.8.2.1: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library - diffify (post)
{tune} 1.2.1: Tidy Tuning Tools - diffify (post)
{savvy} 0.6.0
{tidypolars} 0.7.0
{Factoshiny} 2.6: Perform Factorial Analysis from ‘FactoMineR’ with a Shiny Application - diffify
{FactoMineR} 2.10: Multivariate Exploratory Data Analysis and Data Mining - diffify
{dbparser} 2.0.3: Drugs Databases Parser - diffify
{keras} 2.15.0: R Interface to ‘Keras’ - diffify
{protr} 1.7-1: Generating Various Numerical Representation Schemes for Protein Sequences - diffify
{tourr} 1.2.0: Tour Methods for Multivariate Data Visualisation - diffify
{tfruns} 1.5.3: Training Run Tools for ‘TensorFlow’ - diffify
{redcapAPI} 2.9.0: Interface to ‘REDCap’ - diffify
{neuralGAM} 1.1.1: Interpretable Neural Network Based on Generalized Additive Models - diffify
{censored} 0.3.1: ‘parsnip’ Engines for Survival Models - diffify
{listarrays} 0.4.0: A Toolbox for Working with R Arrays in a Functional Programming Style - diffify
{envir} 0.3.0: Manage R Environments Better - diffify
{commafree} 0.2.0: Call Functions Without Commas Between Arguments - diffify
{hdf5r.Extra} 0.0.6: Extensions for ‘HDF5’ R Interfaces - diffify
{pkgdown} 2.0.9: Make Static HTML Documentation for a Package - diffify
{felp} 0.5.0: Functional Help for Functions, Objects, and Packages - diffify
{keras3} 0.2.0: R Interface to ‘Keras’ - diffify+ {explainer} 1.0.1: Machine Learning Model Explainer - diffify
{adbcsqlite} 0.11.0.1: ‘Arrow’ Database Connectivity (‘ADBC’) ‘SQLite’ Driver - diffify
{targets} 1.7.0: Dynamic Function-Oriented ‘Make’-Like Declarative Pipelines - diffify
{tarchetypes} 0.9.0: Archetypes for Targets - diffify
{shinyWidgets} 0.8.5: Custom Inputs Widgets for Shiny - diffify
{tern} 0.9.4: Create Common TLGs Used in Clinical Trials - diffify
{ggfortify} 0.4.17: Data Visualization Tools for Statistical Analysis Results - diffify
{sassy} 1.2.4: Makes ‘R’ Easier for Everyone - diffify
{optparse} 1.7.5: Command Line Option Parser - diffify
{tuneR} 1.4.7: Analysis of Music and Speech - diffify
{lme4} 1.1-35.3: Linear Mixed-Effects Models using ‘Eigen’ and S4 - diffify
{tiledb} 0.26.0: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays - diffify
{tensorflow} 2.16.0: R Interface to ‘TensorFlow’ - diffify
{explore} 1.3.0: Simplifies Exploratory Data Analysis - diffify
{bookdown} 0.39: Authoring Books and Technical Documents with R Markdown - diffify
{Rd2roxygen} 1.16: Convert Rd to ‘Roxygen’ Documentation - diffify
{rtables} 0.6.7: Reporting Tables - diffify
{rlistings} 0.2.8: Clinical Trial Style Data Readout Listings - diffify
{ggeffects} 1.5.2: Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs - diffify
{tidyfst} 1.7.8: Tidy Verbs for Fast Data Manipulation - diffify
{reticulate} 1.36.0: Interface to ‘Python’ - diffify
{testthat} 3.2.1.1: Unit Testing for R - diffify
{fanyi} 0.0.7: Translate Words or Sentences via Online Translators - diffify
{collapse} 2.0.13: Advanced and Fast Data Transformation - diffify
{marginaleffects} 0.19.0: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests - diffify

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