Guess most of us by now have returned from our holidays and are back at work.
Such a joy I suppose...
Well, it's also time to add another R meetup event to our calendars. Werner and
I have set our next meeting to September 12th with two talks scheduled. The
agenda for the evening is as follows:
18:30 - Arrival, settling down, and ordering beer
19:00 - Talk by Sascha Kemp on Q graph
20:00 - Talk by Willem and Tobias on R Service Bus
Venue: Our friendly Brasserie Hermes at Sloterdijk, Amsterdam
The duration for each talk (abstracts below) includes time for questions,
interaction, socializing, and ordering more beer.
We look forward to seeing you all soon. Do spread the word about this meetup to
people you think may be interested in joining us.
Werner and Rahul
Q graph -- Sacha Epskamp
We present the qgraph package for R which provides an interface to
visualize data and models by using network modeling techniques. For
instance, a correlation matrix can be visualized as a network in which
each item is a node and each correlation an edge. By varying the width
and color of the nodes and edges as a function of statistical
properties, a clear picture of the structure of the correlation matrix
can be generated. Similar possibilities exist for visualizing
covariances, partial correlations, auto-correlations, factor loadings
(EFA and PCA) and the results of the SEM package (Fox 2010). But
qgraph can also be used for graphing various types of general
networks, including interactive graphs with mouseover tooltips.
R Service Bus -- Willem Ligtenberg & Tobias Verbeke (OpenAnalytics)
R is a unique computational and visualization engine that is
able to power data-driven decision making in about any analytics
problem domain. The complexity of many integration tasks, though,
requires dedicated tools. The R Service Bus is a swiss army knife
that allows you to plug R into your processes independently of the
technology used by other software applications involved in the workflow.
In this presentation we will provide an overview of the architecture
of the R Service Bus and show how the architectural decisions
guarantee reliability, flexibility, high availability
and scalability of R-based analytics applications. Next we will
demonstrate how applications can connect to RSB using RESTful
and SOAP-based web services, e-mail protocols, etc. and which different
payloads (files, XML, JSON) can be used when unleashing the power of R.