R Weekly 2020-06 RStudio::Conf, Corona virus dashboard, {lcars}

10 Feb 2020

Release Date: 2020-02-10

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

Highlight

• Back from rstudio::conf(2020) - My talk, Q&A’s, and other conference experiences - Yihui Xie

• Coronavirus Tracking dashboard

• {lcars}: Provides Shiny widgets and Shiny UI theme that support an LCARS aesthetic for Shiny apps

Insights

• Back from rstudio::conf(2020) - My talk, Q&A’s, and other conference experiences - Yihui Xie

• RStudio Conference 2020

• Some lessons from rstudio::conf

• Some Upcoming 2020 R Conferences

• The Fun of Building Things and the Challenge of Learning - the rOpenSci OzUnconf 2019

• Integrating R & Python into a Data Science program

R in the Real World

• SHARPEn your portfolio

• Comparing Ensembl GTF and cDNA

• Calculate all the CVs of all the QC Levels of all the Methods of all the Instruments at all the Sites all at once … with Sunquest LIS and dplyr

• Lewis Carroll’s proposed rules for tennis tournaments

Resources

• Visualising The G/Food Place

• Links to slides for rstudio::conf 2020

• Hacking Germany’s Official Statistics with {datenguideR}

• Statistical Modeling of High Dimensional Counts

• Coronavirus Tracking dashboard

• Debugging your R code with the browser() function and a second pipe operator

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {add2ggplot}: Add to ‘ggplot2’

• {rawKS}: Easily Get True-Positive Rate and False-Positive Rate and KS Statistic

• {carbonate}: Create beautiful images of source code using ‘carbon.js’

GitHub or Bitbucket

• {colormind}: Generate Color Palettes With AI

• {shredder}: API that incites exploration and iteration of rstan simulation objects

• {lcars}: Provides Shiny widgets and Shiny UI theme that support an LCARS aesthetic for Shiny apps

• {nCov2019}: Query information of Wuhan coronavirus infected stats

Updated Packages

• {corporaexplorer 0.8.1.1}: A ‘Shiny’ App for Dynamic Exploration of Text Collections

Videos and Podcasts

• R-Podcast: Episode 32 - Eric shares his perspective on RStudio’s move to become a PBC and talks with software engineer Kevin Ushey on his adventures with developing the RStudio IDE and dependency management with {packrat} and {renv}

• NSSD 100: Live from RStudio Conf 2020 - In this episode Hilary and Roger discuss how ideas evolve over time and use examples from this podcast to illustrate their views on data analysis and design thinking.

• #DataFemme Episode 11 - Some Unfiltered Musings from RStudioConf

• Predictive modeling in R with tidymodels and NFL attendance (TidyTuesday) - Julia Silge

Tutorials

• TidyTuesday & {tidymodels}

• Writing a recursive function in R - or, tweets on tweets

• 5 useful R tips from rstudio::conf(2020) - tidy eval, piping, conflicts, bar charts and colors

• Align multiple ggplot2 plots by axis

• Introduction to the {tidymodels} Machine Learning Ecosystem

• LP and Tidy Data Principles (Part 1)

• Working with audio in R using av

• A guide to encoding categorical features using R

• Prying “.R” Script Files Away from Xcode (et al) on macOS

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Intro to R for Plant Pathologists, Feb 19

• TokyoR #84: February 29, 2020

• satRday Johannesburg 2020

• satRday Newcastle upon Tyne, April the 4th, Call for speakers for #satRdayNCL closes 31st Jan.

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

More past events at R conferences & meetups.

Datasets

Jobs

• Strategy & Development Intern - Chicago Cubs

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

For those who have been doing #ggplot2 for a while; what would you wish you understood better/knew how to do? #rstats

— Thomas Lin Pedersen (@thomasp85) February 5, 2020

wowwww ok TIL there is an #rstats function to *uncount* data - have count data but want the raw data back? tidyr::uncount() to the rescue 🤯 pic.twitter.com/PN9fVIe1bl

— Sharla Gelfand (@sharlagelfand) February 5, 2020

The dm package from @krlmlr provides a grammar of joined tables: you can filter, mutate, or select on particular variables within a combined set of tables (local or remote) and the changes propagate through 🤯🎉https://t.co/ID1ITZ7BHM #rstats #rstatsnyc pic.twitter.com/nhQ2DIMCE1

— David Robinson (@drob) February 5, 2020