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title: R Weekly 2019-40 fable, lintr 2.0.0, almanac | ||
description: Weekly News in the R Community. | ||
image: https://rweekly.org/public/facebook.png | ||
--- | ||
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Release Date: 2019-10-07 | ||
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This week's release was curated by [Ryo Nakagawara](https://twitter.com/R_by_Ryo), with help from the RWeekly team members and contributors. | ||
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### Highlight | ||
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+ [Introducing {fable}: Forecasting models for tidy time series](https://blog.mitchelloharawild.com/blog/fable/) | ||
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+ [{lintr 2.0.0}: Checks adherence to a given style, looks for syntax errors and possible semantic errors](https://www.jimhester.com/post/lintr-2-0-0/) | ||
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+ [{almanac}: Implements a 'grammar of schedules', providing the fundamental building blocks to construct recurrence rules that identify “events” such as weekends or holidays](https://github.com/DavisVaughan/almanac) | ||
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### Insights | ||
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+ [EARL London 2019 Conference Recap](https://appsilon.com/earl-london-2019-conference-recap/) | ||
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+ [Why R? Warsaw 2019 Recap](https://appsilon.com/why-r-warsaw-2019-recap/) | ||
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### R in the Real World | ||
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+ [Mapping the Underlying Social Structure of Reddit](https://datadiarist.github.io/post/mapping-the-underlying-social-structure-of-reddit/) | ||
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+ [A Guide to Getting International Statistics into R](https://erikgahner.dk/2019/a-guide-to-getting-international-statistics-into-r/) | ||
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### R in Organizations | ||
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+ [Business AI for SMBs - Building Amazon-style Product Recommenders using RemixAutoML](https://www.remixinstitute.com/blog/business-ai-for-small-to-medium-sized-businesses-with-remixautoml) | ||
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![](https://i2.wp.com/www.remixinstitute.com/wp-content/uploads/technology-companies-rd-expenditures-2017-remix-institute.png?w=1536&ssl=1) | ||
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### Resources | ||
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+ [{ggplot2} theme for Breast Cancer Awareness: `theme_bc_aware`](https://github.com/louisahsmith/theme_bc_aware) | ||
![theme_bc_ware](https://raw.githubusercontent.com/rweekly/image/master/2019-10-07/breastcancertheme.png) | ||
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+ [Material for COMBINE NSW Workshop on R Markdown](https://github.com/emitanaka/combine2019) | ||
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### New Packages | ||
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<p class="added-hostname"><a href="https://rweekly.org/live" target="_blank" class="externalLink">📦 <i>Go Live for More New Pkgs</i> 📦</a></p> | ||
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**CRAN** | ||
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+ [{signs 0.1.0}: Provides convenience functions to replace hyphen-minuses (ASCII 45) with proper minus signs (Unicode character 2212)](https://cran.r-project.org/package=signs) | ||
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+ [{fable}: Forecasting models for tidy time series](https://cran.r-project.org/package=fable) | ||
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**GitHub or Bitbucket** | ||
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+ [{tune}: facilitate the tuning of hyper-parameters in the tidymodels packages](https://github.com/tidymodels/tune) | ||
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+ [{fastpipe}: fast alternative to {magrittr} pipes](https://github.com/moodymudskipper/fastpipe) | ||
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+ [{almanac}: Implements a 'grammar of schedules', providing the fundamental building blocks to construct recurrence rules that identify “events” such as weekends or holidays](https://github.com/DavisVaughan/almanac) | ||
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### Updated Packages | ||
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+ [{geohashTools 0.3.0}](https://github.com/MichaelChirico/geohashTools) | ||
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+ [{data.table 1.12.4}](https://cran.r-project.org/package=data.table) | ||
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![datatablenafill](https://raw.githubusercontent.com/rweekly/image/master/2019-10-07/datatablenafill.png) | ||
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+ [{tensorflow 2.0.0}](https://cran.r-project.org/package=tensorflow) | ||
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+ [{lintr 2.0.0}: Checks adherence to a given style, looks for syntax errors and possible semantic errors](https://www.jimhester.com/post/lintr-2-0-0/) | ||
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+ [{geospark 0.2.1}](https://cran.r-project.org/package=geospark) | ||
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+ [{countup}: counter for RMarkdown & Shiny](https://github.com/JohnCoene/countup) | ||
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+ [{lorem}: Quickly generate lorem ipsum placeholder text](https://github.com/gadenbuie/lorem) | ||
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### Videos and Podcasts | ||
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+ [#TidyTuesday Podcast #6: School Diversity Data](https://www.tidytuesday.com/6) | ||
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![tidytuesdaypod](https://raw.githubusercontent.com/rweekly/image/master/2019-10-07/tidytuespod.jpg) | ||
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+ [#TidyTuesday Screecast: Analyzing pizza ratings](https://www.youtube.com/watch?v=Mkac8DHScps) | ||
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+ [Intro to GeoSpatial Data in Spark](https://www.youtube.com/watch?v=qgCAqL6uKRA) | ||
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### Tutorials | ||
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+ [Insights from the RMarkdown whisperer](http://jenrichmond.rbind.io/post/insights-from-the-markdown-whisperer/) | ||
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+ [Flow fields (12 Months of aRt, September)](https://www.williamrchase.com/post/flow-fields-12-months-of-art-september/) | ||
![september aRt](https://raw.githubusercontent.com/rweekly/image/master/2019-10-07/septArt.png) | ||
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+ [Manipulating colors with {prismatic}](https://www.hvitfeldt.me/blog/manipulating-colors-with-prismatic/) | ||
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+ [Goodbye, Disqus! Hello, Utterances!](https://masalmon.eu/2019/10/02/disqus/) | ||
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+ [`theme_inari()`](http://lenkiefer.com/2019/09/23/theme-inari/) | ||
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+ [Cox PH with Time varying Covariate, Part I](https://www.leynu.com/post/2019-09-28-surv-time-varying/) | ||
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+ [A short introduction to {drake}](https://data.nozav.org/post/2019-a-short-introduction-to-drake/) | ||
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+ [Building Regularized Logistic Regressions from Scratch with Computational Graphs in R](https://nanx.me/blog/post/cgraph-logreg/) | ||
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+ [Split-apply-combine for Maximum Likelihood Estimation of a linear model](https://www.brodrigues.co/blog/2019-10-05-parallel_maxlik/) | ||
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+ [Introducing {fable}: Forecasting models for tidy time series](https://blog.mitchelloharawild.com/blog/fable/) | ||
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<!--<div class="post-more-begin></div><div class="post-more-end"></div>--> | ||
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### R Project Updates | ||
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Updates from [R Core](http://developer.r-project.org/blosxom.cgi/R-devel/NEWS): | ||
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### Upcoming Events in 3 Months | ||
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Events in 3 Months: | ||
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+ [Tokyo.R #82, October 26](https://tokyor.connpass.com/) | ||
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+ [Yes We Cran: A conference on R packages and their applications, December 6-8](https://www.thinksisu.org/event/yeswecran/) | ||
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+ [rOpenSci OzUnconf, December 11-13](https://ozunconf19.ropensci.org/) | ||
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+ [R @ ISSA, December 26](https://r-iisa2019.rbind.io/) | ||
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+ [A list of R conferences and meetings](https://jumpingrivers.github.io/meetingsR/events.html) | ||
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+ [This week's local R-User and applied stats events](https://community.rstudio.com/c/irl) | ||
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More past events at [R conferences & meetups](https://conf.rweekly.org). | ||
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### Call for Participation | ||
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<p class="hide-support added-hostname support-rweekly" style="text-align: center;font-weight: bold;">Your <a class="non-visited externalLink" href="https://www.patreon.com/rweekly" onclick="pas(this)">support</a> will keep R Weekly team moving! 💡</p> | ||
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### Quotes of the Week | ||
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">For those who use <a href="https://twitter.com/hashtag/dplyr?src=hash&ref_src=twsrc%5Etfw">#dplyr</a> but don't master it yet, we've just created for you the ultimate guide to the 1 tibble case in a single cheat sheet. Feedback appreciated!<br>Source = <a href="https://t.co/ucFHHFtCqV">https://t.co/ucFHHFtCqV</a><a href="https://twitter.com/hashtag/tidyverse?src=hash&ref_src=twsrc%5Etfw">#tidyverse</a> <a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a><br>Many tanks to Colin Vullioud for helping! <a href="https://t.co/WISUiG4oST">pic.twitter.com/WISUiG4oST</a></p>— R Data Berlin (@rdataberlin) <a href="https://twitter.com/rdataberlin/status/1177640285477703680?ref_src=twsrc%5Etfw">September 27, 2019</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> | ||
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Learned last week from the man himself (JJ Allaire) that you can execute Python scripts in RStudio and it just *knows* <a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a> (the first reticulate command auto-ran) <a href="https://t.co/WdX8Evzqwg">pic.twitter.com/WdX8Evzqwg</a></p>— Hilary Parker (@hspter) <a href="https://twitter.com/hspter/status/1178799955999281152?ref_src=twsrc%5Etfw">September 30, 2019</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> | ||
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">ever want to join a list of dataframes together (with <a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a>) in one fell swoop? try purrr::reduce(list_of_dfs, full_join, by = "id_column_name")<br><br>honestly, when this worked, i nearly cried</p>— renata gerecke (@renatagerecke) <a href="https://twitter.com/renatagerecke/status/1179161290662653958?ref_src=twsrc%5Etfw">October 1, 2019</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> |
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