R Weekly 2018-51 pdftools, remedy
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Hello and welcome to this new issue!
Highlight
pdftools 2.0 - powerful pdf text extraction tools
remedy - Package for easier Markdown writing
Insights
R in the Real World
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
CRAN
GitHub or Bitbucket
Rlandsat - R Package for Landsat 8 Data
understatran - R package to make getting tidy data from understat simple and fast
RQuantLib 0.4.7 - Now with corrected Windows library
Updated Packages
pdftools 2.0 - powerful pdf text extraction tools
R/exams 2.3-2 - one-for-all approach to automatic exams generation
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
.
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.
Generating reasonable starting trees for complex phylogenetic analyses
Parallel processing to add a little zip to power simulations (and other replication studies)
Code for case study - Customer Churn with Keras/TensorFlow and H2O
How to deploy a predictive service to Kubernetes with R and the AzureContainers package
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
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