"Official" November BARUG Meetup


Details
Note that talks are starting earlier than usual: we have a full agenda and an outstanding line up of speakers
Agenda
6:30 - Pizza - Beer and networking
6:50 - Navdeep Gill: RSparkling: Integrate H2O's Sparkling Water to your R Workflow
7:10 - Aaron Hoffer: Integrating Shiny into Your Daily Workflow: A Hands-on Tutorial
8:00 - Paul Manser: Creating and formatting downloadable Power Point presentations using Shiny, CSS, and ReporteRs
8:30 - Ali Marami: The R-Brain Platform
#-------------------------
Navdeep Gill
RSparkling: Integrate H2O's Sparkling Water to your R Workflow
Abstract:
The rsparkling R package is an extension package for sparkapi / sparklyr (an R interface for Apache Spark) that creates an R front-end for a Spark package (Sparkling Water from H2O) . This provides an interface to H2O's machine learning algorithms on Spark, using R.
For this talk I will briefly go over sparklyr & H2O's Sparkling Water, how RSparkling integrates these two APIs, and I will conclude with a demo of RSparkling.
#-----------------------
Aaron Hoffer
Integrating Shiny into Your Daily Workflow: A Hands-on Tutorial
As part of your standard data/analytics/software development process, you may write a utility function or package to automate or simplify your repeatable tasks. But what if the reproducible task is best solved visually?
For this tutorial, I'll walk through building an example Shiny gadget, a SQL database
workbench in Shiny that is integrated into your RStudio session to pull data,
save queries, and plot results to streamline your ad-hoc querying process.
#--------------------------
Paul Manser
Creating and formatting downloadable Power Point presentations using Shiny, CSS, and ReporteRs
ABSTRACT: Power calculations are a routine deliverable for statistical projects that inform experimental design, and may often go through several iterations. While many tools exist to compute power (websites, software packages, other Shiny apps), they generally produce outputs that must be formatted, copy/pasted, or otherwise arranged in order to fit into a Power Point presentation to share with business colleagues. During this process, calculation inputs may be omitted, misreported, or forgotten upon revisiting results months later.
Using CSS, markdown, and the ReporteRs package it is possible to download Power Point presentations direct from Shiny with customized tables detailing power calculation results. The slides can also importantly include appendices detailing all input parameters in order to reproduce the results at a later date. This approach is generalizable to other kinds of routine or iterative analyses where a Power Point slide deck with a few template slides is the ultimate product.
#---------------
Ali Marami
R-Brain (r-brain.io (http://r-brain.io/)) is a San Francisco based startup. We have developed a sophisticated IDE for R and Python on the cloud. We will also present at ODSC 2016 in Santa Clara. We have started to accept trial users to test our platform. I would like to know if I can have 5-10 minutes in November BARUG to briefly explain our product and invite trial users. Also, if I can have a 45 minutes presentation in December BARUG.

Sponsors
"Official" November BARUG Meetup