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R Weekly 2019-06 Workshop, Cookbook
Highlight
Insights
Resources
R in the Real World
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A package to download, import and tidy time series data from the Australian Bureau of Statistics
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Developing a package to analyze data of the hospital morbidity survey
R in Organizations
R in Academia
New Packages
CRAN
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tsfeatures - provides methods for extracting various features from time series data.
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readabs - Download, import, and tidy time series data from the Australian Bureau of Statistics
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olsrr - a set of tools for improved output from linear regression models, designed keeping in mind beginner/intermediate R users.
GitHub or Bitbucket
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whiteboxR - whitebox R package for geospatial analysis, which is an R frontend of a stand-alone executable command-line program called WhiteboxTools
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shutterstock-r - Access Shutterstock API from R
Updated Packages
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V8 2.0 - Embedded JavaScript Engine for R
Gist & Cookbook
Tutorials
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Audio classification with Keras: Looking closer at the non-deep learning parts
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Enhancing gather() and spread() by Using “Bundled” data.frames
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Solving Ordinary Least Squares Regression Using Matrix Algebra in R
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How to urn inconsistently multi-headered excel data into a tidy data frame in R.
Upcoming Events in 3 Months
Events in 3 Months:
More past events at R conferences & meetups.
Call for Participation
Quotes of the Week
Finally out! Excited to announce my new book on statistical learning with @kaneplusplus and Bryan Lewis on @CRCPress. Code, data, and sample chapters available at https://t.co/iGSWS77oXy #rstats pic.twitter.com/ihAAcK5kmd
— Taylor Arnold (@statsmaths) February 8, 2019
When you read 2017 a scientific paper and everyone is cited except the authors of the free software used to do the research 😢 #rstats pic.twitter.com/0RCWOIlJrp
— Mark van der Loo (@markvdloo) February 6, 2019
Introducing pupR: Your Daily Dose of Doggo! Do you like dogs? Do you like R? Then you’ll love this function. #rstats #dogs pic.twitter.com/k3bW7RKAtP
— Melissa Innerst (@mathematicalm3l) January 30, 2019