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Currently, how many R Packages? At the command line enter:  dim(available.packages())  available.packages()

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Presentation on theme: "Currently, how many R Packages? At the command line enter:  dim(available.packages())  available.packages()"— Presentation transcript:

1 Currently, how many R Packages? At the command line enter:  dim(available.packages())  available.packages()

2 Package Categories Data Input / Output Data Management Mathematics and Statistics Graphics TASK VIEWS Web High Performance Computing Subject Matter Specific Common Specialized

3 Graphics ggplot2 Shiny Beginner Built-In Intermediate Packages stats graphics

4 XLConnect XML rhbase sas7bdat Rcpp RJSONIO Hmisc RODBC / ROracle foreign RMySQL Comma Separated Values Data Input / Output

5 Oracle R Enterprise (ORE) R Being Integrated Into Other Data-Related Products http://help.sap.com/hana/hana_dev_r_emb_en.pdf https://blogs.oracle.com/R/ http://www-142.ibm.com/software/products/us/en/spss-stats-developer/ “Both R and SAS are here to stay, and finding ways to make them work better with each other is in the best interests of our customers.”` http://support.sas.com/rnd/app/studio/Rinterface2.html

6 Analytic TechniqueR PackageAuthorOrganization Decision TreesrpartTerry Therneau & Beth Atkinson. R port by Brian Ripley. Mayo Clinic University of Oxford Random ForestsrandomForestFortran original by Leo Breiman R port by Andy Liaw. Merck Support Vector Machines libsvmChih-Chung Chang Chih-Jen Lin National Taiwan Univ. + EBay Research Labs Neural NetworksneuralnetFrauke Gunther Stefan Fritsch Epidemiology and Prevention Research nnetBrian RipleyUniversity of Oxford Boosting ModelAdaMark CulpWest Virginia University Maximum EntropymaxentYoshimasha Tsuruoka Timothy Jurka University of Tokyo UC-Davis Bagging, bootstrapadabagEsteban Alfaro-CortesLa Universidad de Castilla-La Mancha Latent DiralectsldaJonathan ChangFacebook Naïve Bayese1071David Meyer, Evgenia Dimitriadout Vienna University Bayesian NetworkbnlearnMarco ScutariUCL Genetics Institute Hidden MarkovhiddenmarkovDavid HarteStatistics Research Machine Learning

7 Example of the SAME Algorithm Implemented Across Many Languages

8 Is there an R App Store? No, though Task Views

9 Task Views Next Slides organizes these by: Statistics Graphics Subject Matter Web, Computing

10 Task Views: Statistics, Mathematics BayesianBayesian Inference ClusterCluster Analysis & Finite Mixture Models DifferentialEquations DistributionsProbability Distributions ExperimentalDesignDesign of Experiments (DoE) & Analysis of Experimental Data MachineLearningMachine Learning & Statistical Learning MetaAnalysisMeta-Analysis MultivariateMultivariate Statistics NaturalLanguageProcessing NumericalMathematics OfficialStatisticsOfficial Statistics & Survey Methodology OptimizationOptimization and Mathematical Programming ReproducibleResearch RobustRobust Statistical Methods SurvivalSurvival Analysis TimeSeriesTime Series Analysis gRgRaphical Models in R

11 Task Views: Graphics, Spatial GraphicsGraphic Displays & Dynamic Graphics & Visualization SpatialAnalysis of Spatial Data SpatioTemporalHandling and Analyzing Spatio-Temporal Data

12 Task Views: Subject Matter Specific Econometrics FinanceEmpirical Finance ChemPhysChemometrics and Computational Physics ClinicalTrialsClinical Trial Design, Monitoring, and Analysis EnvironmetricsAnalysis of Ecological and Environmental Data GeneticsStatistical Genetics MedicalImagingMedical Image Analysis PharmacokineticsAnalysis of Pharmacokinetic Data PhylogeneticsPhylogenetics, Especially Comparative Methods PsychometricsPsychometric Models and Methods SocialSciencesStatistics for the Social Sciences

13 Task Views: Web, Computing HighPerformanceComputingHigh-Performance and Parallel Computing with R WebTechnologiesWeb Technologies and Services Tools for Working with the Web Parsing Data from the Web Curl, HTTP, FTP, HTML, XML, SOAP Authentication Web Frameworks JavaScript Code sharing


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