R Weekly 2018-47 Vulnerability, Tables

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Hello and welcome to this new issue!

Highlight

• Use GitHub Vulnerability Alerts to Keep Users of Your R Packages Safe

• Make Beautiful Tables with the Formattable Package

Insights

• Rcpp now used by 1500 CRAN packages

• Use GitHub Vulnerability Alerts to Keep Users of Your R Packages Safe

R in the Real World

• Surf Check - Automating Weather Forecast Emails in R

• Teaching Toronto elementary school students about data analysis: Data + Art STEAM Project

• Security issues with installing bioconductor

• Getting Census data from multiple years using tidycensus and purrr

• Rcpp now used by 1500 CRAN packages

• Utilizing K-means to Extract Colours from Your Favourite Images

• A Mathematician’s Perspective on Topological Data Analysis and R

• Dimensionality Reduction Methods Using Fifa 18 Player Data

• Make Beautiful Tables with the Formattable Package

R in Organizations

• Report from the Enterprise Applications of the R Language conference

• The Antarctic/Southern Ocean rOpenSci community

Resources

• tidyevaluation with rlang

• In case you missed it: October 2018 roundup

• The vtreat data preparation system

New Packages

? Go Live for More New Pkgs ?

CRAN

• Shiny 1.2.0 - Plot caching

• RcppGetconf 0.0.3 - package for reading system configuration

Tutorials

• Easy time-series prediction with R: a tutorial with air traffic data from Lux Airport

• Interchanging RMarkdown and “spinnable” R

• How to get Twitter data with rtweet in R

• Installing RStudio & Shiny Servers

• Quoting in R

• Reporting data in big tables with huxtable 4.3.0

• How to de-Bias Standard Deviation Estimates

• threed - drawing a cube in ggplot2

• Time Series and MCHT

• Asking for help is challenging but is typically worth it

• ggthreed - 3d pie charts

• Data Science Blog: My Experiences with Data Science, Blogging, and R

• AI for Good: slides and notebooks from the ODSC workshop

• Easy time-series prediction with R: a tutorial with air traffic data from Lux Airport

• A Mathematician’s Perspective on Topological Data Analysis and R

• More on Bias Corrected Standard Deviation Estimates

• Searching for the optimal hyper-parameters of an ARIMA model in parallel: the tidy gridsearch approach

• Using a genetic algorithm for the hyperparameter optimization of a SARIMA model

• How to plot fitted lines with ggplot2

• Example of Overfitting

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

More past events at R conferences & meetups.

Call for Participation

Your support will keep R Weekly team moving! ?

Quotes of the Week

A lesser-known #dplyr ? function: lag(). Use lag() to get the previous value in a vector. The equivalent for getting the next value is lead(). I've not used them often, but when I have they've saved me from writing horrible workarounds! #rstats #tidyverse pic.twitter.com/b29Bwbymzr

— Nic Crane (@nic_crane) November 16, 2018

TIL tidyr::uncount(), which does the opposite of dplyr::count()#RStats pic.twitter.com/ePoOgYlX8b

— Colin Fay ? (@_ColinFay) November 16, 2018

#rstats folks: did you know enclosing assignments inside parentheses will also print the object's value to the console? One area this can be useful is when assigning #ggplot2 objects: Eg:

(p <- ggplot(...) + ...)

will assign and display your plot in one line.

— John Lewis (@_jrlewi) November 15, 2018

What are your favourite non-tidyverse #rstats packages? I ❤️ #kableExtra by @haozhu233. It allows you to get a really fine degree of customisation on both LaTeX and HTML tables, and wins bonus points for having excellent documentation! ?https://t.co/H3urFGgZYh pic.twitter.com/5tGrrWejAj

— We are R-Ladies (@WeAreRLadies) November 16, 2018

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