R Weekly 2020-35 Updated magritter pipe, Big Book of R, R + d3
Release Date: 2020-08-30
This week’s release was curated by Tony ElHabr, with help from the RWeekly team members and contributors.
Highlight
Insights
R in the Real World
Resources
-
Open Source Football (American)
New Packages
CRAN
- {survxai} 0.2.2: Visualization of the Local and Global Survival Model Explanations
- {amber} 1.0.3: Automated Model Benchmarking R Package
- {staplr} 3.1.0: A Toolkit for PDF Files
- {rmdwc} 0.1.1: Count Words, Chars and Non-Whitespace Chars in R Markdown Docs
- {equatiomatic} 0.1.0: Transform Models into ‘LaTeX’ Equations
- {geofabrik} 0.1.0: Downloading Open Street Map Data
- {zdeskR} 0.0.1: Connect to Your ‘Zendesk’ Data
- {sparklyr.flint} 0.1.1: Sparklyr Extension for ‘Flint’
- {ngramr} 1.7.2: Retrieve and Plot Google n-Gram Data
- {independence} 1.0: Fast Rank-Based Independence Testing
- {diffcor} 0.3.0: Fisher’s z-Tests Concerning Difference of Correlations
- {mlr3fselect} 0.2.0: Feature Selection for ‘mlr3’
GitHub or Bitbucket
- {friends}: The Entire Transcript from Friends in Tidy Format
- {soccerAnimate}: An R package to create 2D animations of soccer tracking data
Updated Packages
- {vctrs} 0.3.4: Vector Helpers
- {renv} 0.12.0: Project Environments
- {arrow} 1.0.1: Integration to ‘Apache’ ‘Arrow’
- {kableExtra} 1.2.1: Construct Complex Table with ‘kable’ and Pipe Syntax
- {gtsummary} 1.3.4: Presentation-Ready Data Summary and Analytic Result Tables
- {feasts} 0.1.5: Feature Extraction and Statistics for Time Series
- {glue} 1.4.2: Interpreted String Literals
- {tidyr} 1.1.2: Tidy Messy Data
- {RMariaDB} 1.0.10: Database Interface and ‘MariaDB’ Driver
- {ggnewscale} 0.4.3: Multiple Fill and Colour Scales in ‘ggplot2’
- {anytime} 0.3.9: Anything to ‘POSIXct’ or ‘Date’ Converter
- {fst} 0.9.4: Lightning Fast Serialization of Data Frames
- {writexl} 1.3.1: Export Data Frames to Excel ‘xlsx’ Format
- {dashboardthemes} 1.1.3: Customise the Appearance of ‘shinydashboard’ Applications using Themes
- {compareDF} 2.3.0: Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure
Videos and Podcasts
-
(useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorial
-
How to make a reproducible version of your R analysis that can be run in a web browser with the
{holepunch}
package
R Internationally
Tutorials
-
R Package Integration with Modern Reusable C++ Code Using Rcpp - Part 5
-
How to Add an Empty Column to a Dataframe in R (with tibble)
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Datasets
- Some Data Packages (for teaching)
Call for Participation
Quotes of the Week
Starting to mute anyone on #rstats who uses more than five hashtags. Simple, but actually very effective pic.twitter.com/rWMoQN0usg
— Colin Gillespie (@csgillespie) August 26, 2020
Today has been another exercise in
— Chelsea Parlett-Pelleriti (@ChelseaParlett) August 26, 2020
"Do I lack intelligence, or is this just not my area of expertise?" pic.twitter.com/UlZRJ1lAYO
i feel you, r cmd check pic.twitter.com/Re3a8QDls1
— Ian Lyttle (@ijlyttle) August 28, 2020
Me to me last night: You really need to stop thinking about your code.
— MaddyFrumkin (@MaddyFrumkin) August 27, 2020
Me: thoughts <- thoughts %>% select(-code)