R is an amazing tool to perform advanced statistical analysis and create stunning visualizations. However, data scientists and analytics practitioners do not work in silos, so these analysis have to be copied and emailed to senior managers and partners teams. Cut-copy-paste sounds great, but if it is a daily or periodic task, it is more useful to automate the reports. So in this blogpost, we are going to learn how to do exactly that.
Join AI experts from Google Brain, Open AI & Uber AI Labs in San Francisco
In January, attendees from over 20 countries will meet to learn from industry experts in speech & pattern recognition, neural networks, image analysis and NLP, and explore how deep learning will impact all industries. The event, spread over two days, will welcome over 900 attendees and 90 expert speakers, offering 12+ hours of unrivalled networking opportunities.
RcppTOML 0.1.5: Small extensions
Coming on the heels of last week’s RcppTOML 0.1.4 release bringing support for TOML v0.5.0, we have a new release 0.1.5 on CRAN with better encoding support as well as support for the time type.
Multithreaded in the Wild
Hello Stitch Fix followers, check out where our fellow Stitch Fixers are speaking this month.
New Course: Analyzing Election and Polling Data in R
2018-11 Variable-Width Bezier Splines in R
This report describes support for a new type of variable-width line in the ‘vwline’ package for R that is based on Bezier curves. There is also a new function for specifying the width of a variable-width line based on Bezier curves and there is a new linejoin and lineend style, called “extend”, that is available when both the line and the width of the line are based on Bezier curves. This report also introduces a small ‘gridBezier’ package for drawing Bezier curves in R.
Communicating results with R Markdown
Webinar: Transform Your Stagnant Data Swamp into a Pristine Data Lake, Nov 8
Sponsored Post.
Facial feedback: “These findings suggest that minute differences in the experimental protocol might lead to theoretically meaningful changes in the outcomes.”
Fritz Strack points us to this article, “When Both the Original Study and Its Failed Replication Are Correct: Feeling Observed Eliminates the Facial-Feedback Effect,” by Tom Noah, Yaacov Schul, and Ruth Mayo, who write:
The role of academia in data science education
Rafael Irizarry ** 2018/11/01