crediblycurious

Saskia and Nick build a simple R package. We learn about the why, what, how, tests, documentation, maintenance and more.

Shownotes:

Praise package: https://github.com/rladies/praise

vdiffr (comparing plots in R): https://github.com/r-lib/vdiffr

Books:

http://r-pkgs.had.co.nz/

https://bookdown.org/rdpeng/RProgDA/

https://devguide.ropensci.org/collaboration.html

Blogs:

https://masalmon.eu/2017/12/11/goodrpackages/

https://support.rstudio.com/hc/en-us/articles/200486488-Developing-Packages-with-RStudio

Nick reviews Saskia's code. We learn about good coding style and tools that can help with that.

Shownotes:

tidyr getting new names for gather and spread - pivot_wider and pivot_longer

Twitter: https://twitter.com/hadleywickham/status/1108107722128613377 , https://twitter.com/hadleywickham/status/1109816130774986753

Hadley’s Analysis : https://github.com/hadley/table-shapes

The old package website for original reshape: http://had.co.nz/reshape/

Reshape2: https://github.com/hadley/reshape

plyr: https://github.com/hadley/plyr

Code reviews (general process, feelings etc.) https://medium.com/palantir/code-review-best-practices-19e02780015f

Lintr and styler

https://www.r-project.org/nosvn/pandoc/lintr.html

https://cran.r-project.org/web/packages/styler/vignettes/introducing_styler.html

Notes on code review

https://style.tidyverse.org/

https://google.github.io/styleguide/Rguide.xml

http://jef.works/R-style-guide/

http://r-pkgs.had.co.nz/style.html

Code: https://gist.github.com/SaskiaFreytag/f0f6904ec1f6e754a655d9fb1d17cab2

Nick and Saskia discuss moving, RStudio Conference, hexbin plots and the scales package

Shownotes:

RStudio Conference videos: https://resources.rstudio.com/rstudio-conf-2019

Just Three Things videos:

https://www.njtierney.com/post/2019/02/18/announcing-jtt/

https://twitter.com/JenRichmondPhD/status/1097958614092767234

In this episode, Nick and Saskia discuss their experiences at rOpenSci Oz unconf in Melbourne. Thanks to all the participants at the Oz unconf, who contributed.

Shownotes:

- rOpenSci: ropensci.org/

- rOpenSci Ozunconf site: http://ozunconf18.ropensci.org/

- rOpenSci ozunconf projects worked on at the unconf: http://ozunconf18.ropensci.org/projects

- rOpenSci ozunconf blog posts: https://ropensci.org/tags/ozunconf/

- Ozunconf ideas: https://github.com/ropensci/ozunconf18/issues

- Credibly Curious hex sticker: www.dropbox.com/s/j867tflfd2zyaae…hex-blue.png?dl=0

- rstudio conf agenda: http://www.cvent.com/events/rstudio-conf-austin/agenda-dd6d75526f3c4554b67c4de32aeffb47.aspx

In this episode, Nick and Saskia chat to Di Cook about the history of graphics, interactivity, ggplot2 and perception.

Shownotes:

- [Sun Workstation](https://en.wikipedia.org/wiki/SUN_workstation)

- [Techtronix workstation](https://en.wikipedia.org/wiki/Tektronix_4010)

- [Silicon graphics workstation](https://en.wikipedia.org/wiki/Silicon_Graphics)

- [ASA video lending library](http://stat-graphics.org/movies/)

- [DataViewer](http://stat-graphics.org/movies/dataviewer.html)

- [Antelope software](http://stat-graphics.org/movies/antelope.html)

- [Xgobi](http://stat-graphics.org/movies/xgobi.html)

- [ggobi](https://en.wikipedia.org/wiki/GGobi)

- [X-Lisp-Stat](https://en.wikipedia.org/wiki/XLispStat)

- Data Pipelines for Graphics:

- [Orca: A Visualization Toolkit for High-Dimensional Data](https://www.tandfonline.com/doi/abs/10.1080/10618600.2000.10474896)

- Buja, A., Asimov, D., Hurley, C., & McDonald, J. A. (1988). Elements of a viewing pipeline for data analysis. Dynamic Graphics for Statistics, 277, 308.

- Lattice's facetted / shingling

- [help file](https://stat.ethz.ch/R-manual/R-devel/library/lattice/html/shingles.html)

- [lattice](http://lattice.r-forge.r-project.org/)

- [A Brief History of Data Visualisation](http://www.datavis.ca/papers/hbook.pdf)

- [history of symbolics list machines](https://danluu.com/symbolics-lisp-machines/)

- Next episode on rOpenSci ozunconf:

- http://ozunconf18.ropensci.org/projects

Nick and Saskia discuss sweave, knitr, rmarkdown, and notebooks. What are they? Why do they exist? How do they interact?

Shownotes:

Yihui Xie’s thesis: https://lib.dr.iastate.edu/etd/13518/

Yihui Xie’s blog: https://yihui.name/en/

R Markdown: The Definitive Guide: https://bookdown.org/yihui/rmarkdown/

Grattan Institute Reports: https://grattan.edu.au/publications/reports/

Daring fireball by John Gruber: https://daringfireball.net/

Jonathan Gruber note on markdown discussed on: https://blog.codinghorror.com/standard-markdown-is-now-common-markdown/ - podcast link https://soundcloud.com/thetalkshow/ep-88-cat-pictures-side-1 - check out 1 hour 15 minutes

Eric Holscher’s “Why You Shouldn’t Use “Markdown” for Documentation”: http://ericholscher.com/blog/2016/mar/15/dont-use-markdown-for-technical-docs/

Modern Dive: https://ismayc.github.io/moderndiver-book/index.html

Interface R Notebook with Overleaf: https://medium.com/@arinbasu/a-tutorial-on-how-to-interface-an-r-notebook-with-overleaf-11f23c306cfd

papaja package: https://github.com/crsh/papaja

Emi Tanaka’s xaringan slide theme: https://github.com/emitanaka/ninja-theme

Nick’s blogpost: https://www.njtierney.com/post/2017/07/31/awesome-slides/

Emi Tanaka’s blogdown tutorial: https://rladies-melb-blogdown.netlify.com/#1

Why I don’t like notebooks: https://docs.google.com/presentation/d/1n2RlMdmv1p25Xy5thJUhkKGvjtV-dkAIsUXP-AL4ffI/preview#slide=id.g362da58057_0_1

Roger’s tweet: https://twitter.com/rdpeng/status/1034606358237245440

In this episode, Nick and Saskia discuss their experiences at useR2018! in Brisbane. Contributions by Thomas Lumely, Thomas Lin Pedersen, Zachary Foster, Goknur Giner, Lucy Luyi, Steph de Silva, Roger Peng, Dan Putler, Dirk Eddlebeutel, Francois Michenneau and Miles McBain!

Shownotes:

UseR2018 video provided by R consortium: https://www.youtube.com/channel/UC_R5smHVXRYGhZYDJsnXTwg

Solution to Episode 2’s puzzle: https://blog.mitchelloharawild.com/blog/loading-r-packages-in-a-loop/

In this episode, Nick and Saskia talk to their first ever guest Roger Peng about all things tidyverse. What is it? Why use it? Its perceived flaws and much more.

Shownotes:

Blog post on the pipe (%>%) : https://www.r-bloggers.com/simpler-r-coding-with-pipes-the-present-and-future-of-the-magrittr-package/

Friendly evaluations: https://github.com/MilesMcBain/friendlyeval

Hadleyverse burndown: https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Towards-a-grammar-of-interactive-graphics (at around 44mins)

Running R on your phone: https://tteoh.com/post/2016-10-20-r-rstudio-mobile-android/

David Robinson writes a package on his iPhone: https://github.com/dgrtwo/tracestack

Also Nick *wasted his time* making this gif for you: https://twitter.com/nj_tierney/status/1013670519986515969 ;)

In the first episode of this podcast, Nick and Saskia describe what CRAN, BioConductor are, and how they work.