R Weekly 2021-10 Serverless dashboards, tidy eval and dplyr, Bootstrap confidence intervals
This article is originally published at
Hello and welcome to this new issue!
This week’s release was curated by Kelly Bodwin, with help from the R Weekly team members and contributors.
Highlight
Insights
#TheMoment tweets (citizen-statistician.org)
R in the Real World
- (Spanish) Comparing Marvel and DC Comics
Today is World Wildlife Day & this year's theme highlights the central role of forests in sustaining the livelihoods of billions of people worldwide. My map shows % of land area under trees for ex-Yugoslavia space#WorldWildlifeDay #dataviz #bigdata #datascience #rstats #maps pic.twitter.com/Fu0CNGaFLJ
— Milos Popovic/Милош Поповић (@milos_agathon) March 3, 2021My @BES_Move_SIG dynamic movement visualisation contribution. Bar-tailed godwits migration in relation to wind and snow cover. All done in #RStats with #rayshader. Thanks to Jesse Conklin and Phil Battley for sharing the tracks. R code: https://t.co/lNB327SSkj pic.twitter.com/V8vby2N7pd
— Simeon Lisovski (@S_Lisovski) February 14, 2021
R in Organizations
R in Academia
Resources
(book) Tree phenology analysis with R (by Eike Luedeling)
(slides) JavaScript + Shiny (by Jonathan Trattner)
(workshop materials) Data.table workshop at EcoDataScience
(template gallery) {rticles} templates for journal publications
New Packages
???? Go Live for More New Pkgs ????
CRAN
{appler} 0.1.0: ‘Apple App Store’ and ‘iTunes’ Data Extraction
{basifoR} 0.3: Retrieval and Processing of the Spanish National Forest Inventory
{bdots} 1.0.0: Bootstrapped Differences of Time Series
{dadjokeapi} 1.0.2: Return a Random Dad Joke
{drawer} 0.1.0: An Interactive HTML Image Editing Tool
{EasyDescribe} 0.1.0: A Convenient Way of Descriptive Statistics
{HyperG} 1.0.0: Hypergraphs in R
{mapsf} 0.1.1: Thematic Cartography
{ondisc} 1.0.0: Fast, Universal, and Intuitive Computing on Large-Scale Single-Cell Data
{opitools} 1.0.2: A Tool for Analyzing Opinions in a Text Document
{ppsr 0.0.2}: Computing the Predictive Power Score
{prompt} 1.0.0: Dynamic ‘R’ Prompt
{sfaR} 0.0.91: Stochastic Frontier Analysis using R
{smmR} 1.0.0: Simulation, Estimation and Reliability of Semi-Markov Models
{statgenHTP} 1.0.0: High Throughput Phenotyping (HTP) Data Analysis
{urlchecker} 1.0.0: Run CRAN URL Checks from Older R Versions
BioC
GitHub or Bitbucket
Updated Packages
{blogdown} 1.2: Create Blogs and Websites with R Markdown
{drawsample} 1.0.0: Draw Samples with the Desired Properties from a Data Set
{evclust} 2.0.0: Evidential Clustering
{farver} 2.1.0: High Performance Colour Space Manipulation
{googlesheets4} 0.3.0: Access Google Sheets using the Sheets API V4
{ggforce} 0.3.3: Accelerating ‘ggplot2’
{ggfx}: Updated raster placement
{ggVennDiagram} 0.5.0: A ‘ggplot2’ Implement of Venn Diagram
{Hmisc} 4.5-0: Harrell Miscellaneous
{logger} 0.2.0: A Lightweight, Modern and Flexible Logging Utility
{mlr3} 0.11.0: Updated with book draft
{ShinyQuickStarter} 2.0.0: ‘RStudio’ Addin for Building Shiny Apps per Drag & Drop
{slackr} 2.2.0: Send Messages, Images, R Objects and Files to ‘Slack’ Channels/Users
{tinytex} 0.30: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
{xaringan} 0.20: Presentation Ninja
{xaringanthemer} 0.3.3: Custom ‘xaringan’ CSS Themes
Videos and Podcasts
“In the Beginning was R Markdown” - Toronto Conference on Reproducibility Keynote Address
Compute bootstrap confidence intervals for Super Bowl commercial characteristics (#TidyTuesday)
[TidyX Episode 50 James Stein Estimates, GT tables with patchwork](https://www.youtube.com/watch?v=1WtDWE0UbQg) - Mini-demo: set a password in R Markdown
Gist & Cookbook
Shiny Apps
R Internationally
Tutorials
Bootstrap confidence intervals for #TidyTuesday Super Bowl commercials
Raster calculations on stars objects: Species richness maps from species distribution models
(French) Working with Git in RStudio
aRt
by Toni Emery
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
March 10: Making Extra Great Slides with xaringan, xaringanthemer and xaringanExtra
March 11: WhyR weekly webinar (topic TBD)
March 17: Interactive maps with Leaflet
March 18: The role of Data Journalism in the Covid-19 pandemic
March 5 - May 21: TIER Symposium on instruction in resproducible research
May 26-28: NIMBLE virtual short course
June 1: “Introduction to R” pre-conference workshop for PuG (German)
June 1: “Reproducibility in R” pre-conference workshop for PuG
Datasets
Jobs and Funding
Call for Participation
Quotes of the Week
After being uncharacteristically cooperative yesterday #Rstats is back to choosing violence. pic.twitter.com/ojZhvaOkfj
— Chuck “Chuck” Bangley (@SpinyDag) March 4, 2021
There once was a marvelous system
— Nick Barrowman (@nbarrowman) March 4, 2021
For merging out-put with words written
R Markdown's the name
And stats coding fame
Comes about by a process of knitting
1/2 Chaos from the Lorenz attractor (aka, the strange attractor) rendered with #rstats + #rayrender. Small differences in the initial position lead to completely different trajectories down the line, otherwise known as the butterfly effect.
— Tyler Morgan-Wall (@tylermorganwall) March 4, 2021
Full path:https://t.co/hFNzLMihym pic.twitter.com/ImDufcOCzP
Thanks for visiting r-craft.org
This article is originally published at
Please visit source website for post related comments.