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Hello and welcome to this new issue!

Release Date: 2021-05-17

• How to have (my) content shared by R Weekly?

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

Highlight

• ISLR: tidymodels labs: This book aims to be a complement to the 1st version An Introduction to Statistical Learning book with translations of the labs into using the tidymodels set of packages.

• Encrypt and host a knitted R Markdown file

• TidyX Episode 59: MLB Pitch Classification - Class Imbalance and Model Evaluation

Insights

• Checking in with R-Ladies Taipei

• Basic FDA Descriptive Statistics with R

R in the Real World

• F1 Drivers Rated – Version 2

Resources

• #TidyTuesday internet access in the US

• ISLR: tidymodels labs: This book aims to be a complement to the 1st version An Introduction to Statistical Learning book with translations of the labs into using the tidymodels set of packages.

• Short course and tutorial for survey analysis in R using the srvyr and survey packages

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {ggbreak} 0.0.2.993: set axis breaks for ‘ggplot2’.

• {parsermd} 0.1.0: Formal Parser and Related Tools for R Markdown Documents

• {nnspat} 0.1.0: Nearest Neighbor Methods for Spatial Patterns

• {gitdown} 0.1.2: Turn Your Git Commit Messages into a HTML Book

• {qqboxplot} 0.1.0: Implementation of the Q-Q Boxplot

• {academictwitteR} 0.1.0: Access the Twitter Academic Research Product Track V2 API

• {SportsTour} 0.1.0: Display Tournament Fixtures using Knock Out and Round Robin Techniques

• {bayesmodels} 0.1.0: The ‘Tidymodels’ Extension for Bayesian Models

GitHub or Bitbucket

• {strex} 1.4.2: Extra string manipulation functions not contained in stringr or stringi.

• {socialroulette} 0.1.0: A package to generate social groupings.

• {ddplot} 0.0.1: Create D3 based SVG graphics easily from R.

• {rayvista} 0.1.0: A package to view a 3D scene anywhere on earth.

• {bingmapr} 0.1.0: An R package for accessing the Bing Maps Static Map API.

Updated Packages

• {haven} 2.4.0

• {lme4} 1.1-27: Linear Mixed-Effects Models using ‘Eigen’ and S4

• {rt} 1.1.0: Interface to the ‘Request Tracker’ API

• {huxtable} 5.4.0: Easily Create and Style Tables for LaTeX, HTML and Other Formats

• {eurostat} 3.7.5: Tools for Eurostat Open Data

• {naniar} 0.6.1: Data Structures, Summaries, and Visualisations for Missing Data

• {bslib} 0.2.5: Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’

• {gt} 0.3.0: Easily Create Presentation-Ready Display Tables

• {ggiraph} 0.7.9: Make ‘ggplot2’ Graphics Interactive

• {zstd} 0.2.3: Fast, configurable in-memory compression of R objects with zstd.

Videos and Podcasts

• D3 for R users (Video) - Zaynaib (Ola) Giwa (Cleveland R User Group)

• Learning to use the patchwork R package (how to learn a package in general)

• Tidy Tuesday live screencast: Analyzing US broadband access in R

• [TidyX Episode 59

  MLB Pitch Classification - Class Imbalance and Model Evaluation](https://www.youtube.com/watch?v=6-y1iEbDQVs)

• #rspatial workshops

Shiny Apps

• wedding: Shiny app with custom css to prepare and manage a wedding

Tutorials

• Encrypt and host a knitted R Markdown file

• Language Identification using the ‘fastText’ package (a Benchmark)

• Showing a difference in mean between two groups, take 2

• Getting started in #rtistry

• Functions for data science with R templates for OpenFaaS

• Building your website using R {blogdown}

• Generalized Additive Models: Allowing for some wiggle room in your models

• Replace compIntercepts() with emmeans()

• Replace compSlopes() with emtrends()

• ggplot: the placing and order of aesthetics matters

R Project Updates

Updates from R Core:

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

• R Lille Meetup: “Reproducible Computation at Scale in R with {targets}”

• Zoom talk on “Building dashboards in R/shiny (and improve them with logs and user feedback)” from the Grenoble (FR) R user group (May 25)

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

I'd like something like this in {dplyr} #rstats

mutate_where <- function(.data, .where, ...) {
rows_lgl <- as.logical(rlang::eval_tidy(enquo(.where), .data, parent.frame()))
.data[rows_lgl,] <- dplyr::mutate(.data[rows_lgl,], ...)
.data
} pic.twitter.com/iWVi6lwOvC

— Antoine Fabri (@antoine_fabri) May 11, 2021

where is waldo??

in my console baby, no more anti_join() for me pic.twitter.com/FpmCIyiF2Z

— Jeep Wrangler Owner (@asmae_toumi) May 10, 2021

Sometimes one may wish to include plots or visualizations in a table, e.g. to show the distribution of a variable.

The {spec_} function family from {kableExtra} 📦 make doing so effortless 🙌https://t.co/X4YY8Drm7C#rstats #DataScience pic.twitter.com/9HRDTxEpB8

— R Function A Day (@rfunctionaday) May 11, 2021