R Weekly 2018-11 rstudio::conf 2018, lime

12 Mar 2018

Highlight

• lime v0.4: The kitten picture edition

• RStudio conf 2018 Videos

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• textfeatures - Extracts Features from Text (A simple package for extracting useful features from character objects)

• autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results

• onnx - R Interface to Open Neural Network Exchange (ONNX)

BioC

• wiggleplotr - Make read coverage plots from BigWig files

Package Releases

• ggfortify 0.4.3 - Unified Interface to Visualize Statistical Result of Popular R Packages

• lime v0.4 - The kitten picture edition

Resources

• Demonstration of statistical concepts or programming

Videos and Podcasts

• RStudio conf 2018 Videos

Insights

• Platform Deprecation Strategy

• File organization best practices

• Reflections on 4 months of GitHub: my advice to beginners

• CUDA in R on macOS X

• JC and the Vignettes

R in the Real World

• Tidy Text Analysis of R Weekly

• Tidytext analysis of Grimms’ Fairy Tales

• Analyzing Metadata for CRAN Packages

Tutorials

• Generating codebooks in R using the dataMaid package

• Handling Semantic Version Strings Like a Boss with the semver Package

• Some Tools for Writing Shiny Apps

• autoplotly - one line of R code to build interactive visualizations for popular statistical results

• Tao of Tidygraph - analysis of “Tao Te Programming” alliance graph within tidy network analysis framework

• A gentle introduction to git with a focus on R users

• Finding Datasets in R

• The 5 Steps to Get Google Analytics Ready for Data Science

• How to create shiny app

• Improving Research Through Safer Learning from Data

• The R Markdown Source Documents of My Presentations

• Hacking the R (HTML) Help Pages

• The Second Pull Request Could be (Much) Better

• a one-chance meeting [puzzle]

• first dplyr mondays

• R Tip: Use vector(mode = “list”) to Pre-Allocate Lists

• Integrating data from weathercan

• Choosing Priors: Double-Yolk Bayesian Egg

• Another reason to be careful about what you control for

• arrow, rrrow, rcher, spurrrow

• chop(): A tidyverse-style split()

• Exploring influence in networks

• uniform on the sphere [or not]

• R Tip: Introduce Indices to Avoid for() Class Loss Issues

• Compare outlier detection methods with the OutliersO3 package

• R data concepts, for Excel users

• Building Distribution Reference Tables in R

• Extend broom’s tidy() and glance() to work with lists of multiply imputed regression models

• Use tidyverse functions to correctly meld/pool coefficients and other results from multiply imputed models

R Project Updates

Updates from R Core:

• Some as.data.frame() methods, notably the matrix one, are now more careful in not accepting duplicated or NA row names, and by default produce unique non-NA row names. This is based on row.names(x, make.names = *) <- rNms where make.names is a new logical, with back compatible default.

• par*apply and par*applyLB gain an optional argument chunk.size which allows to specify the granularity of scheduling.

• parLapplyLB and parSapplyLB have been fixed to do load balancing (dynamic scheduling). This also means that results of computations depending on random number generators will now really be non-reproducible, as documented.

Upcoming Events in 3 Months

Events in 3 Months:

• satRday Cape Town 2018 March 17
  satRday Cape Town

• New York R conference Aprl 20-21
  New York R conference, Discount Code : rladies

• eRum 2018 May 14-16
  European R Users Meeting @ Budapest, Hungary

• R/Finance 2018 June 1 and 2
  Applied Finance with R.

• CascadiaRConf June 2 Portland, OR, US

More past events at R conferences & meetups.

Call for Participation

• R-Ladies NYC April 2018 Book Club R-Ladies NYC are still gathering suggestions for the bookclub.

• LatinR 2018 Call for papers Abstract submission deadline: April 13, 2018.

Your support will keep R Weekly team moving! 💡

Quotes of the Week

💜 Thanks for sharing a wonderful #IWD2018 with us! 💜

✒️🗒️ Blog post with #rstats details coming soon! 🗒️🖋️

⬇️ #rladies, don't forget to follow @hfcfrick's advice below! ⬇️ https://t.co/j0wp3A0RGB

— IWD 2018 featured R-Ladies (@rladies_iwd2018) 9 de març de 2018

Here's the evolution of Irish Population density 1841->2002 on a DED level. You can see the devastating impact of the Famine, the gradual thinning of the rural population and the late-20th c. suburban sprawl #history #ireland #rstats pic.twitter.com/SOwSyHvPIN

— Alan Fernihough (@DiffusePrioR) March 9, 2018

When you mess up a decimal point simplifying polygons in #rstats and you go full Picasso during his cubism period... pic.twitter.com/MBrgQ4crjZ

— Juan Carlos (@villasenor_jc) March 7, 2018

Dear Past Me,

Thank you for:

* documenting your code.

* standardizing menial tasks in Bash & #rstats scripts.

* using version control.

* using makefiles.

I pledge to continue this behavior for Future Me, & for anyone else who needs to make changes to my projects.

— Ezra Brooks (@ezbrooks) March 9, 2018

Day in my #rstats life:

0930: How lucky I am to work on clean datasets curated by true professionals.
1330: Huh. Some inconsistencies here. No bigs. I'll just write up some quick and dirty regex to clean this up.
1720: I WILL BURN THIS HERETICAL DATA CENTER AND SCATTER ITS ASHES

— Mario Martinez (@Kwarizmi) March 6, 2018