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R Weekly 2024-W36 Long input lines, Translating Quarto, Codebase lint-free forever
This week’s release was curated by Sam Parmar, with help from the R Weekly team members and contributors.
Highlight
Insights
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Does my test really validate a bug fix? Check it with git cherry-pick
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Sampling without replacement with unequal probabilities by @ellis2013nz
R in the Real World
R in Organizations
Resources
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Models demystified : a practical guide from t-tests to deep learning, by Michael Clark & Seth Berry (with R and Python code)
New Packages
📦 Keep up to date wtih CRANberries 📦
📦 Create markdown-based surveys with quarto and shiny 📦
CRAN
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{ClustMC} 0.1.1: Cluster-Based Multiple Comparisons
- {minesweeper} 1.0.0: Play Minesweeper
- {imputeMissings} 0.0.4: Impute Missing Values in a Predictive Context
- {ggreveal} 0.1.3: Reveal a ‘ggplot’ Incrementally
- {flowmapper} 0.1.1: Draw Flows (Migration, Goods, Money, Information) on ‘ggplot2’ Plots
- {mirrorselect} 0.0.3: Test CRAN/Bioconductor Mirror Speed
- {capesData} 0.0.1: Data on Scholarships in CAPES International Mobility Programs
- {osum} 0.1.0: Provide Summary Information About R Objects
- {gemini.R} 0.5.2: Interface for ‘Google Gemini’ API ‘Malaria Atlas Project’
GitHub or Bitbucket
Updated Packages
- {streetscape} 1.0.3: Collect And Investigate Street Views For Urban Science - diffify
- {salty} 0.1.1: Turn Clean Data into Messy Data - diffify
- {PRNG} 0.0.2.1.1: A Pseudo-Random Number Generator - diffify
- {rscorecard} 0.29.0: A Method to Download Department of Education College Scorecard Data - diffify
- {pkgKitten} 0.2.4: Create Simple Packages Which Do not Upset R Package Checks - diffify
- {tabxplor} 1.2.0: User-Friendly Tables with Color Helpers for Data Exploration - diffify
- {openxlsx} 4.2.7: Read, Write and Edit xlsx Files - diffify
- {chromote} 0.3.1: Headless Chrome Web Browser Interface - diffify
- {servr} 0.31: A Simple HTTP Server to Serve Static Files or Dynamic Documents - diffify
- {duckdbfs} 0.0.7: High Performance Remote File System, Database and ‘Geospatial’ Access Using ‘duckdb’ - diffify
- {robotstxt} 0.7.15: A ‘robots.txt’ Parser and ‘Webbot’/’Spider’/’Crawler’ Permissions Checker - diffify
- {tables} 0.9.31: Formula-Driven Table Generation - diffify
- {s3fs} 0.1.7: ‘Amazon Web Service S3’ File System - diffify
- {atable} 0.1.15: Create Tables for Reporting Clinical Trials - diffify
- {startupmsg} 0.9.7: Utilities for Start-Up Messages - diffify Functions - diffify
- {admiralvaccine} 0.3.0: Vaccine Extension Package for ADaM in ‘R’ Asset Library - diffify
- {contingencytables} 3.0.1: Statistical Analysis of Contingency Tables - diffify
- {sas7bdat} 0.8: sas7bdat Reverse Engineering Documentation - diffify
- {archivist} 2.3.8: Tools for Storing, Restoring and Searching for R Objects - diffify
- {ctrdata} 1.19.2: Retrieve and Analyze Clinical Trials in Public Registers - diffify
- {ggfun} 0.1.6: Miscellaneous Functions for ‘ggplot2’ - diffify
- {BiocManager} 1.30.25: Access the Bioconductor Project Package Repository - diffify
- {frictionless} 1.2.0: Read and Write Frictionless Data Packages - diffify
- {portalr} 0.4.2: Create Useful Summaries of the Portal Data - diffify
- {f1dataR} 1.6.0: Access Formula 1 Data - diffify
- {tetRys} 1.2: Game of ‘tetRys’ - diffify
- {pmev} 0.1.2: Calculates Earned Value for a Project Schedule - diffify
- {tidypmc} 2.0: Parse Full Text XML Documents from PubMed Central - diffify
- {labelr} 0.1.8: Label Data Frames, Variables, and Values - diffify
- {data.table} 1.16.0: Extension of
data.frame
- diffify - {cpp11} 0.5.0: A C++11 Interface for R’s C Interface - diffify
- {worldbank} 0.3.0: Client for World Banks’s ‘Indicators’ and ‘Poverty and Inequality Platform (PIP)’ APIs - diffify
- {curl} 5.2.2: A Modern and Flexible Web Client for R - diffify
- {GWalkR} 0.1.5: Interactive Exploratory Data Analysis Tool - diffify
Videos and Podcasts
- How to automatically detect data changes for your Shiny Calendar app
- Shannon Pileggi @ The Prostate Cancer Clinical Trials Consortium
Shiny Apps
R Internationally
Tutorials
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How can you use the *frame functions from the package tibble?
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Translating Quarto (and other markdown files) into Any Language
- Mastering grep() in R: A Fun Guide to Pattern Matching and Replacement
- How to use the agrep() function in base R
- How to Use grep() for Exact Matching in Base R: A Comprehensive Guide
- Understanding Comments in C: Why They Matter and How to Use Them Effectively
- Mastering the sapply() Function in R: A Comprehensive Guide for Data Manipulation
- Joining data sets with R
- Loading Excel files with missing numbers into R
- Introducing surveydown: an R package and platform for creating markdown-based surveys with quarto and shiny
R Project Updates
Updates from R Core:
Call for Participation
Upcoming Events in 3 Months
Events in 3 Months:
Grants & Funding
Connect
Join the Data Science Learning Community
rtistry
Image of Takarazuka, Japan created in #rstats using data from #OpenStreetMap. pic.twitter.com/GEcTSOdm8H
— R City Views (@rcityviews) August 31, 2024