As learning a new language can be a really difficult and painful process, we thought that it would be a valuable idea to share useful links for R resources with you. If you can spare some time to read some of these links, we believe that this first briefing will enable you to come with a better background to our webinar.
Apache CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform. CloudStack is used by a number of service providers to offer public cloud services, and by many companies to provide an on-premises (private) cloud offering, or as part of a hybrid cloud solution.
CloudStack is a turnkey solution that includes the entire "stack" of features most organizations want with an IaaS cloud: compute orchestration, Network-as-a-Service, user and account management, a full and open native API, resource accounting, and a first-class User Interface (UI).
Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment.
One innovative feature of pqR (my new, faster, version of R), is that it can perform some numeric computations in “helper” threads, in parallel with other such numeric computations, and with interpretive operations performed in the “master” thread.
This article is the second part of a series which started with An Overview of Lexing and Parsing. That article aimed to discuss lexing and parsing in general terms, while trying to minimize the amount on how to actually use Marpa::R2 to do the work. In the end, however, it did have quite a few specifics. This article has yet more detail with regard to working with both a lexer and a parser.
As those of you who read my last post know, I’m at the NIMBioS-CAMBAM workshop on linking mathematical models to biological data here at UT Knoxville. Day 1 (today) was on parameter estimation and model identifiability.
BCEA is a R library specifically designed to post-process the result of a Bayesian health economic evaluation. Typically, this consists in the estimation of a set of relevant parameters that can be combined to produce an estimation of suitable measures of cost (c) and clinical benefits (e) associated with an intervention. Within the Bayesian framework, this amounts to estimating a posterior distribution for the pair (e,c).
CMS, G1, Young Gen, New Gen, Old Gen, Eden, and the hundreds of JVM start-up flags... does this all baffle you when trying to tune the garbage collector to get the required throughput and latency from your Java application?
Apache Hadoop is de facto standard for Big Data storage and batch processing, while Tweeter Storm is quickly becoming a standard for large-scale event processing implementations. Unfortunately, up until recently, Storm and Hadoop required two physically different clusters for their implementation. Last week Yahoo! announced open sourcing Storm running on a Hadoop cluster.
What are the top 100 (most downloaded) R packages in 2013? Thanks to the recent release of RStudio of their “0-cloud” CRAN log files, we can now answer this question (at least for the months of Jan till May)!
With the growing interest in a functional programming style, there are more tutorials and blog entries on the subject, and that's wonderful. For anyone so inclined to write their own, let me pass along a few quick tips.
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
How to integrate my topics' content to my website?
Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.