R Weekly 2018-51 pdftools, remedy
Highlight
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pdftools 2.0 - powerful pdf text extraction tools
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remedy - Package for easier Markdown writing
Insights
R in the Real World
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My Physiological Response to my PhD Defence: Acute and Chronic - a.k.a. A dataviz self-portrait, and an introduction to rwithings
Resources
New Packages
📦 Go Live for More New Pkgs 📦
CRAN
GitHub or Bitbucket
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Rlandsat - R Package for Landsat 8 Data
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understatran - R package to make getting tidy data from understat simple and fast
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RQuantLib 0.4.7 - Now with corrected Windows library
Updated Packages
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pdftools 2.0 - powerful pdf text extraction tools
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R/exams 2.3-2 - one-for-all approach to automatic exams generation
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confint3: 2-Sided Confidence Interval (Extended Moodle Version) - Exercise template for computing the 2-sided confidence interval
Tutorials
- A New Stereoscopic MountSpectacular: We implement a 3D pipeline using base R functionality only, and use it to generate analygraphs and stereograms of the much beloved
volcano
.
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Updated: ggmap tutorial. A ggmap tutorial has been updated to show solutions for issues related to the changes in Google Maps Static API access behavior.
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Generating reasonable starting trees for complex phylogenetic analyses
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Parallel processing to add a little zip to power simulations (and other replication studies)
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Code for case study - Customer Churn with Keras/TensorFlow and H2O
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How to deploy a predictive service to Kubernetes with R and the AzureContainers package
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How to solve a business problem using data. A step by step approach to breaking down your business problem into a less intimidating data problem.
Upcoming Events in 3 Months
Events in 3 Months:
More past events at R conferences & meetups.
Call for Participation
Quotes of the Week
Turns out it is possible to write a full #3D rendering pipeline using base #rstats only.
— BrodieG (@BrodieGaslam) December 14, 2018
1/n pic.twitter.com/c4yw79KNwb
Of all the excellent, easy ways to quickly summarize a dataframe in #RStats,
— Darren L Dahly (@statsepi) December 13, 2018
view(dfSummary(data)) is my favorite. It's in the summarytools package. https://t.co/XAyh99TaAt pic.twitter.com/BaqZvUIFNS