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Revolution R Enterprise - 100% R and More Webinar Presentation
R users already know why the R language is the lingua franca of statisticians today: because it's the most powerful statistical language in the world. Revolution Analytics builds on the power of open source R, and adds performance, productivity and integration features to create Revolution R Enterprise. In this presentation, author and blogger David Smith will introduce the additional capabilities of Revolution R Enterprise.
2M+ users, 3000+ packagesFully programmable statistical languageComplete library of statistical functionsUnparalleled representational graphicsSupplanted and replaced SAS/SPSS in the AcademyPenetrated enterprises where sophisticated statistical modeling is mission-criticalFinance, Pharma, etc.
Type ahead: the IDE recognizes an R function as you type in the first few characters and shows the completed formula and parametersCode snippets: Templates for common R functions e.g. for loop, xy plot. These are written in XML and users can add their ownSolution Window: The RPE organizes R scripts and data files in folders by Solution. This facilitates but does not implement versioningThe lists of packages of installed and the list of loaded packages are available for inspection. Clicking on these packages shows their components in the object windowThe top right Object Browser window shows all of the objects available in the R environmentThe bottom right object window shows the details of particular objectsDebugging Tools: when running in debugging mode the RPE supports breakpoints, stepping in and out of code and shows the contents of variables upon “mouse over”.Users may step through all code available in the Solution that is active.
Revolution R Enterprise - 100% R and More Webinar Presentation
Revolution ConfidentialRevolution R:100% R and MorePresented by:David SmithVP Marketing, Revolution Analytics
Revolution ConfidentialPoll Question Which stats package do you use most?
October 19, 2011: Welcome! Revolution Confidential Thanks for coming. Slides and replay available (soon) at: http://bit.ly/p6ulsu David Smith VP Marketing, Revolution Analytics Editor, Revolutions blog http://blog.revolutionanalytics.com Twitter: @revodavid 3
In today’s webcast: Revolution Confidential About Revolution Analytics and R What Revolution R adds to R Resources for getting more from R Q&A Introducing Revolution R 4
Download the White PaperConfidentialWhat is R? R is Hot Revolution bit.ly/r-is-hot Data analysis software A programming language Development platform designed by and for statisticians An environment Huge library of algorithms for data access, data manipulation, analysis and graphics An open-source software project Free, open, and active A community Thousands of contributors, 2 million users Resources and help in every domain 5
R is exploding in popularity and Revolution ConfidentialfunctionalityScholarly Activity Google Scholar hits (’05-’09 CAGR) R 46% “I’ve been astonished by the rate at which R has been adopted. Four years ago, SAS -11% everyone in my economics department [at SPSS -27% the University of Chicago] was using Stata; now, as far as I can tell, R is the S-Plus 0% standard tool, and students learn it first.” Stata 10% Deputy Editor for New Products at ForbesPackage Growth Number of R packages listed on CRAN “A key benefit of R is that it provides near- 2500 instant availability of new and experimental methods created by its user 2000 base — without waiting for the 1500 development/release cycle of commercial software. SAS recognizes the value of R 1000 to our customer base…” 500 0 Product Marketing Manager SAS Institute, Inc. 2002 2004 2006 2008 2010 Source: http://r4stats.com/popularity 6
“R is the most powerful & flexible statistical Revolution Confidentialprogramming language in the world” 1 Capabilities Sophisticated statistical analyses Predictive analytics Data visualization Applications Real-time trading MSFT [2009-01-02/2010-03-31] Last 29.29 Finance 30 Risk assessment 25 Forecasting 20 Bio-technology 250 200 Volume (millions): 63,760,000 15 150 Drug development 100 50 6 Moving Average Convergence Divergence (12,26,9): 4 MACD: 0.702 Social networks 2 0 -2 Signal: 0.712 -4 .. and more -6 Jan 02 2009 Apr 01 2009 Jul 01 2009 Oct 01 2009 Jan 04 2010 Mar 31 2010 1. Norman Nie, multiple interviews 7
From: The R EcosystemR User Community bit.ly/R-ecosystem 8
Revolution ConfidentialPoll Question If youre not using R today, what would you most like to use R for?
Revolution R Enterprise is Revolution Confidential 10
R Productivity Environment (Windows) Revolution Confidential Script with type ahead and code Solutions window snippets for organizing code and data Sophisticated debugging withbreakpoints , variable Objects values etc. loaded in the R Environment Packages Object installed and details loaded http://www.revolutionanalytics.com/demos/revolution-productivity-environment/demo.htm 11
Interactive Debugging Revolution Confidential One-click to set a breakpoint in an R script Step in/out/over, inspect variables Eliminate the edit -> browser -> repair cycle 12
Revolution ConfidentialPerformance: Multi-threaded Math Open Revolution R Source R Enterprise Computation (4-core laptop) Open Source R Revolution R Speedup Linear Algebra1 Matrix Multiply 327 sec 13.4 sec 23x Cholesky Factorization 31.3 sec 1.8 sec 17x Linear Discriminant Analysis 216 sec 74.6 sec 2x General R Benchmarks2 R Benchmarks (Matrix Functions) 22 sec 3.5 sec 5x R Benchmarks (Program Control) 5.6 sec 5.4 sec Not appreciable 1. http://www.revolutionanalytics.com/why-revolution-r/benchmarks.php 2. http://r.research.att.com/benchmarks/ 13
Three Paradigms for Big Data Revolution Confidential Standard R engine is constrained by capacity and performance Revolution R Enterprise offers three methods for big data with R: Off-line: high-performance file-based analytics Off-line, parallel & distributed analytics On-line, in-database analytics Hadoop Netezza 14
Revolution R Enterprise with RevoScaleR Revolution ConfidentialBig Data Statistics in R www.revolutionanalytics.com/bigdataEvery US airlinedeparture and arrival,1987-2008File: AirlineData87to08.xdfRows: 123.5 millionVariables: 29Size on disk: 13.2Gb arrDelayLm2 <- rxLinMod(ArrDelay ~ DayOfWeek:F(CRSDepTime),cube=TRUE) 15
Example: Old Wives Census Analysis Revolution Confidential http://info.revolutionanalytics.com/Cen susOldWivesWhitePaper.html 16
RevoScaleR – Distributed Computing Revolution Confidential Compute • Portions of the data source are Data Node made available to each compute Partition (RevoScaleR) node • RevoScaleR on the master node Compute assigns a task to each compute Data Node node Partition (RevoScaleR) Master • Each compute node independently Node processes its data, and returns its Compute (RevoScaleR) intermediate results back to the Data Node master node Partition (RevoScaleR) • master node aggregates all of the intermediate results from each Compute compute node and produces the Data Node final result Partition (RevoScaleR) *Available for Microsoft HPC Server, November 2011 Video demo: http://bit.ly/riUBgs 17
Revolution ConfidentialRevolution Analytics with Netezza Appliance More info: http://bit.ly/R-Netezza 18
RevoConnectR for Hadoop Revolution Confidential Write Map-Reduce analytics using HBASE only R code with these R packages: HDFS rhdfs - R and HDFS R Thrift rhbase - R and HBASE Map or Reduce rmr- R and MapReduce Task rhbase rhdfs Node Revolution R More information at: Job Client bit.ly/r-hadoop Tracker rmr 19
Enterprise Readiness: Revolution ConfidentialRevolution R Enterprise Server Multi-User Support Production Applications Integrate R analytics into Web based applications Data Analysis and Visualization Reporting Dashboards Interactive applications Revolution R Enterprise Server with RevoDeployR 20
Why R? Revolution Confidential Every data analysis technique at your fingertips Create beautiful and unique data visualizations Get better results faster Draw on the talents of data scientists worldwide R is hot, and growing fast 26
Revolution R Enterprise Revolution ConfidentialProduction-Grade Statistical Analysis for the Workplace High-performance R for multiprocessor systems Modern Integrated Development Environment Statistical Analysis of Terabyte-Class Data Sets In-database R analytics with Hadoop and Netezza Deploy R Applications via Web Services Telephone and email technical support Training and consulting services 100% compatible with R packages Easy-to-Use GUI1 1 Coming Soon 27
Further Reading Revolution Confidential http://bit.ly/revo-r-pdf http://bit.ly/r-is-hot 28
Revolution ConfidentialRevolution R Enterprise: Free to Academia Personal use Research Teaching Package development Free Academic Download www.revolutionanalytics.com/downloads/free-academic.php Discounted Technical Support Subscriptions Available 29
Thank You! Revolution Confidential Download slides, replay (from Oct 20) http://bit.ly/railcj Learn more about Revolution R revolutionanalytics.com/products Contact Revolution Analytics http://bit.ly/hey-revo Special Offer: Revolution R Enterprise Workstation for $499 Including R Productivity Environment (IDE) with visual debugger, multi-processor capabilities, Big Data analysis with RevoScaleR, and Technical Support Available until November 15 at http://bit.ly/revo-499 30
Revolution ConfidentialPoll Question What interests you most about Revolution R Enterprise?
Revolution ConfidentialThe leading commercial provider of software and support for the popular open source R statistics language. www.revolutionanalytics.com +1 (650) 646 9545 Twitter: @RevolutionR 32