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Revolution Analytics - Commercial Software & Support for the R Statistics Language

Revolution Analytics - Commercial Software & Support for the R Statistics Language

r4stats.com: R info for SAS, SPSS, and Stata Users Gephi, an open source graph visualization and manipulation software What is R? During the last decade, the momentum coming from both academia and industry has lifted the R programming language to become the single most important tool for computational statistics, visualization and data science. Worldwide, millions of statisticians and data scientists use R to solve their most challenging problems in fields ranging from computational biology to quantitative marketing. R has become the most popular language for data science and an essential tool for Finance and analytics-driven companies such as Google, Facebook, and LinkedIn. Watch this 90 second video for an introduction to R This video is free to download, remix and share! Every data analysis technique at your fingertips R includes virtually every data manipulation, statistical model, and chart that the modern data scientist could ever need. Create beautiful and unique data visualizations Get better results faster Draw on the talents of data scientists worldwide Learn More: Which R is Right for Me?

PSPP PSPP 2.0.0-pre1 has been released. GNU PSPP is a program for statistical analysis of sampled data. It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions. The most important of these exceptions are, that there are no “time bombs”; your copy of PSPP will not “expire” or deliberately stop working in the future. Neither are there any artificial limits on the number of cases or variables which you can use. PSPP is a stable and reliable application. A brief list of some of the PSPP's features follows below. Support for over 1 billion cases. PSPP is particularly aimed at statisticians, social scientists and students requiring fast convenient analysis of sampled data. Downloading PSPP As with most GNU software, PSPP can be found on the main GNU ftp server: (via HTTP) and (via FTP). There are some additional ways you can download or otherwise obtain PSPP. Documentation

Hadoop Architect - All in 1 Combo Watch Module Sample recording for free .Try before you buy ! About the Course Hadoop designing, Hadoop development,Anayst,Admin,QA and Java-For-Mapreduce architecting Hadoop-based solutions for a global clientele. It lays emphasis on understanding what is Hadoop, how flow of data takes place in it and how it can enable storage and large-scale processing of big data along with deep dive into Hadoop ecosystem projects and Advacne administration like installation of single node cluster and Multi node cluster on ec2. Online Hadoop Certification Video Tutorial provided as part of training contains in depth understanding of the subject domain. As part of Online Hadoop all in 1 course we also cover introduction to HBase Tutorial and do deep dive in Map Reduce, Hive, Pig, Flume, Impala, Advance Admin Concepts, Testing we also cover how ETL tools like Pentaho or Talend can connect to Hadoop ecosystem etc. Key Objectives: Recommended Audience: This course is recommended for: Pre- Requisites

Quick-R: Home Page Learn R Toolkit | Climate Charts & Graphs As a former Excel chart user, I want to help current Excel users make the transition to more advanced charting R with as little difficulty as possible. This post introduces my LearnR Toolkit to help Excel users move up to R in a systematic, step by step fashion. Introduction As an Excel chart user, I wanted to produce panel charts like this: After using VBA to build Excel panel charts (link), I knew I had to use a more advanced charting tool to continue my global warming, citizen climate science studies. LearnR Toolkit I’ve put together a series of instructional PowerPoint, video modules with supporting R scripts and data files to help Excel users learn R. Here’s a list of the modules with links to the Zip and PPT files. When viewing a PPT file, be sure to put PowerPoint in slide show mode to be able to see the embedded videos. Installing Zip Files The full Learn R Toolkit includes an Introduction and 5 modules, with 80 files. You will need to Extract the Zip file to your hard drive.

The Predictive Analytic Evolution of R As I mentioned, perhaps the most important potential for R is to address the analytic skills gap, which our research shows is a priority for organizations. This is a serious and growing issue as more enterprises try to deal with the huge volumes of data they accumulate now, which continue to increase. Our benchmark research on big data identifies the biggest challenges to implementing big data as staffing (cited by 79% of organizations) and training (77%). Since R is a widely used statistical language used in academia today, current and future graduates may well help fill this gap with what they learned. Another challenge facing companies is the lack of usability of advanced analytic languages and tools. On another front, R addresses the need for analytics to be part of larger analytic workflows. Perhaps the broadest opportunity for R is to address new use cases and the creation of innovative analytical assets for companies. Regards, Tony Cosentino VP and Research Director Like this:

RForge.net - development environment for R package developers R Integration Pack - Home RStudio, Revolution Analytics and Deducer: A Tale of Three GUIs I’m in the process of moving from SPSS to R at the moment. It’s not been the easiest of rides, but then learning how to do a core part of your job never really should be. It’s been fun, though – don’t get me wrong – it’s definitely been an adventure!! Here I’m going to review my (limited) experience with some of the GUIs available for R. Don’t shout at me if I haven’t fully tested them – these are the views of a newbie (n00b). This is by no means intended to be a fully-detailed or fully-researched account of the programs here. One of the interesting parts of my time learning R has been the increasing realisation that it’s turning into something new. And then came Revolution… But things have changed since that time. <aside>Maybe big businesses like using it to predict how much money they are going to make, or what is going to happen in the future. Anyway, I digress. What the hell is a Deducer? Deducer is a slightly different beast to Revolution Analytics. Back to the RStudio Summary

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