R Weekly 2020-12 OncoTree, {parzer}, Flatten the Curve

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Hello and welcome to this new issue!

Release Date: 2020-03-23

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

Highlight

• OncoTree Tidygraph

• {parzer}: Parse Messy Geographic Coordinates

• Flatten the COVID-19 curve

R in the Real World

• A look at past bear markets and implications for the future

• Stock market crisis: is there a tennis ball effect?

• COVID-19 cumulative observed case fatality rate over time

• Simulating COVID-19 interventions with R

• Domestic data science – energy use

• COVID-19: The Case of Germany

• Flatten the COVID-19 curve

R in Organizations

• RStudio 1.3 Preview: The Little Things

• Code live from RStudio, and share it with the World in real time

R in Academia

• When you want more than a chi-squared test, consider a measure of association for contingency tables

Resources

• R spatial follows GDAL and PROJ development

New Packages

???? Go Live for More New Pkgs ????

CRAN

• {parzer}: Parse Messy Geographic Coordinates

GitHub or Bitbucket

• {espnscrapeR}: Collect or scrape QBR, NFL standings, and stats from ESPN.

• {uscenpops}: Provides a single dataset of censal and intercensal population estimates for the United States by year of age and sex, for every year from 1900 to 2019.

Updated Packages

• Introducing bwsTools: A Package for Case 1 Best-Worst Scaling (MaxDiff) Designs

• Rcpp 1.0.4: Lots of goodies

• RProtoBuf 0.4.16: Now with JSON

• RcppCCTZ 0.2.7

Videos and Podcasts

• #TidyTuesday Screencast: Creating an R data package (cord19) in RStudio

• All you need to know on Multiple Factor Analysis …

• Recordings from SatRday Neuchâtel (remote)

R Internationally

• Community of Bioinformatics Software Developers (CDSB): The story of a diversity and outreach hotspot in Mexico that hopes to empower local R developers

• Organising a SatRday remotely - SatRday Neuchâtel’s experience & tips

Tutorials

• Spatial Aggregation - three approaches: based on buffers, voronoi polygons and equal distance grid cells

• styler 1.3.0: Faster styling and ignore some lines

• Tidying formatted spreadsheets with unheadr

• Modeling pandemics (1)

• Extended floating point precision in R with Rmpfr

• LASSO regression using tidymodels and #TidyTuesday data for The Office

• #tidytuesday: Part-of-Speech and textrecipes with The Office

• How to do a t-test or ANOVA for more than one variable at once in R and communicate the results in a better way

• On model specification, identification, degrees of freedom and regularization

• Using stm to Investigate if Stemming is Appropriate

• Outlier Days with R and Python

• How to create decorators in R

• Word Rank Slope Charts

• OncoTree Tidygraph

R Project Updates

Updates from R Core:

• Socket Connections Update

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

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

Jobs

• Quantitative Research Associate at Willis Towers Watson

• Data Visualization Society

Call for Participation

Your support will keep R Weekly team moving! ????

Quotes of the Week

COVID19 acummulated cases Vs % o total cases from prior week. Datasource: John Hopkins University. Better in full screen to better grasp country codes. China is divided in two, Hubei and the rest. Full #rstats! pic.twitter.com/EBih2e1luT

— Arthur Welle (@ArthurWelle) March 17, 2020

Maybe I went too far with #ggplot2 and #gganimate ...????
What do you think @hadleywickham & @thomasp85 , did I go too far or not enough ? (I am planning to add the ghosts ????) pic.twitter.com/nkfbti1Etd

— Mickaël CANOUIL (@mickaelcanouil) March 22, 2020

Finally, a single correlation #rstats ???? to rule them all?! ????????https://t.co/Cu8v7IPRvD

✅ supports ~ every correlation under ????:
pearson, kendall, spearman, biserial, poly/tetrachoric, biweight, distance, % bend, Shepherd's Pi

✅ handy #dataviz tools:https://t.co/GVh9HAxVMg pic.twitter.com/Y6h4l7ncU6

— Indrajeet Patil (@patilindrajeets) March 18, 2020

In the upcoming dplyr 1.0.0, summarise() expressions can return multiple rows and columns! Learn more in https://t.co/AzPkSjDwal and stay tuned for more posts on more new features. #rstats

— Hadley Wickham (@hadleywickham) March 20, 2020

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