R Weekly 2022-W39 Actions, Collaborations, and Logging
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Hello and welcome to this new issue!
This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors.
Highlight
Insights
Presenting results for multinomial logistic regression: a marginal approach using propensity scores
101st TokyoR Meetup Roundup: Palmer penguins, fractal analysis, and more!
R Users
R Users Group Gainesville: Experimenting with New Event Formats
From Biology to Healthcare Analytics: My Data Science Journey
New Packages
CRAN
- {renderthis} 0.2.0: Render Slides to Different Formats
- {verbaliseR} 0.1: Make your Text Mighty Fine
- {REDCapTidieR} 0.1.2: Extract ‘REDCap’ Databases into Tidy ‘Tibble’s
- {CytobankAPI} 2.1.0: Cytobank API Wrapper for R
- {neuRosim} 0.2-13: Simulate fMRI Data
- {usincometaxes} 0.5.2: Calculate Federal and State Income Taxes in the United States
- {rocbc} 0.1.0: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
- {defineR} 0.0.4: Creates Define XML Documents
- {grandR} 0.2.0: Comprehensive Analysis of Nucleotide Conversion Sequencing Data
- {rGV} 0.0.2: Analysis of Continuous Glucose Monitor Data
- {snappier} 0.2.0: Compress and Decompress ‘Snappy’ Encoded Data
- {TSCI} 1.0.0: Tools for Causal Inference with Possibly Invalid Instrumental Variables
- {attachment} 0.3.0: Deal with Dependencies
- {NetPreProc} 1.2: Network Pre-Processing and Normalization
- {refdb} 0.1.1: A DNA Reference Library Manager
- {Qindex} 0.1.0: Quantile-Based Predictors for Survival Outcome
- {hockeystick} 0.6.3: Download and Visualize Essential Climate Change Data
- {blscrapeR} 3.2.2: An API Wrapper for the Bureau of Labor Statistics (BLS)
Updated Packages
- {pins} 1.0.3: Pin, Discover and Share Resources
- {ssh} 0.8.1: Secure Shell (SSH) Client for R
- {clickR} 0.8.3: Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning
- {sportyR} 2.0.1: Plot Scaled ‘ggplot’ Representations of Sports Playing Surfaces
- {rlang} 1.0.6: Functions for Base Types and Core R and ‘Tidyverse’ Features
- {blogdown} 1.13: Create Blogs and Websites with R Markdown
- {mixture} 2.0.5: Mixture Models for Clustering and Classification
- {tokenizers} 0.2.3: Fast, Consistent Tokenization of Natural Language Text
- {tidytable} 0.9.0: Tidy Interface to ‘data.table’
- {memoiR} 1.2-2: R Markdown and Bookdown Templates to Publish Documents
- {volcano3D} 2.0.8: 3D Volcano Plots and Polar Plots for Three-Class Data
- {tidyterra} 0.2.1: ‘tidyverse’ Methods and ‘ggplot2’ Utils for ‘terra’ Objects
- {this.path} 1.0.1: Get Executing Script’s Path, from ‘RStudio’, ‘Rgui’, ‘VSCode’, ‘Rscript’ (Shells Including Windows Command-Line / Unix Terminal), and ‘source’
- {Require} 0.1.2: Installing and Loading R Packages for Reproducible Workflows
- {h2o} 3.38.0.1: R Interface for the ‘H2O’ Scalable Machine Learning Platform
- {DatabaseConnector} 5.1.0: Connecting to Various Database Platforms
- {cli} 3.4.1: Helpers for Developing Command Line Interfaces
- {umbridge} 1.0: Integration for the UM-Bridge Protocol
- {anndata} 0.7.5.5: ‘anndata’ for R
- {envir} 0.2.2: Manage R Environments Better
- {survivoR} 2.0: Data from all Seasons of Survivor (US) TV Series in Tidy Format
- {geoknife} 1.6.8: Web-Processing of Large Gridded Datasets
- {toolbox} 0.1.1: List, String, and Meta Programming Utility Functions
- {Rlabkey} 2.9.0: Data Exchange Between R and ‘LabKey’ Server
- {alakazam} 1.2.1: Immunoglobulin Clonal Lineage and Diversity Analysis
- {admiral} 0.8.1: ADaM in R Asset Library
- {SeuratObject} 4.1.2: Data Structures for Single Cell Data
- {duckdb} 0.5.1: DBI Package for the DuckDB Database Management System
- {brms} 2.18.0: Bayesian Regression Models using ‘Stan’
- {flextable} 0.8.1: Functions for Tabular Reporting
- {leafdown} 1.2.0: Provides Drill Down Functionality for ‘leaflet’ Choropleths
- {hdf5r} 1.3.6: Interface to the ‘HDF5’ Binary Data Format
- {hockeyR} 1.2.0: Collect and Clean Hockey Stats
- {common} 1.0.4: Solutions for Common Problems in Base R
- {ngramr} 1.8.2: Retrieve and Plot Google n-Gram Data
Videos and Podcasts
- Listen to the R-Weekly Highlights Podcast
- TidyX Episode 116
- explore: simplified exploratory data analysis (EDA) in R
R Internationally
Tutorials
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Grants & Funding
- R Consortium ISC Call for Proposals - Infrastructure Steering Committee (ISC) grants for low-to-medium risk projects with a focused scope and likely to have a broad impact on the R Community. Deadline 2022-10-01.
Jobs
💼 Explore Jobs & Gigs Board on RStudio Community 💼
rtistry
Quotes of the Week
Do you have a dataset with some missing values, and another form with the missing values completed? Yesterday I was reminded about the rows_update() #rstats function! pic.twitter.com/1VOE8SPTiB
— Crystal Lewis (@Cghlewis) July 15, 2022
Image of Melbourne, Australia created in #rstats using data from #OpenStreetMap. pic.twitter.com/wnwsqutqg8
— R City Views (@rcityviews) September 24, 2022
How cool is that? 🤯 🥳
— Albert Rapp (@rappa753) September 23, 2022
Favorite new Shiny trick: Toggling hidden parts in the UI with {shinyjs}. Such a smoooooth animation. 🌊
Stick around for the code and a short explainer 🧵 #rstats pic.twitter.com/8fS0Df4jh6
Flight attendant: Is there a doctor on the plane?
— Andrew Perfors (@AndyPerfors) September 23, 2022
Me: That's me, but I'm not that kind of --
FA: Someone needs to make a complicated yet clear figure in ggplot and they only have ten minutes
Me: My time has come
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