crediblycurious

crediblycurious

4.8(5개의 평가)
과학 기술

A Podcast about R and Statistics!

2019. 09. 06.

Episode 9 - Building an R package

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

25분
2019. 04. 20.

Episode 8 - Code Review

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

40분
2019. 03. 11.

Episode 7 - Moving

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

23분
2018. 12. 23.

Episode 6 - OZ unconf

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

43분
2018. 11. 27.

Episode 5 - Graphics

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

39분
2018. 09. 13.

Episode 4 - sweave, knitr and rmarkdown

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

1시간 18분
2018. 08. 08.

Episode 3 - useR2018!

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/

58분
2018. 07. 02.

Episode 2 - The tidyverse

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 ;)

57분
2018. 05. 24.

Episode 1 - CRAN and BioConductor

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

38분

9개의 에피소드

4.8

최고 5점

5개의 평가

Enjoyable R-centric podcast

2018. 09. 26.

Lkobzik

Interesting and enjoyable R-centric, I am even willing to forgive their unfortunate mispronounciation of cache (rhymes with $$ cash, not the first part of facial....)

A Podcast about R and Statistics!

제작진

crediblycurious
방송 연도

2018년 - 2019년
에피소드

9
등급

전체 연령 사용가
저작권

© All rights reserved
웹사이트 보기

crediblycurious