04443nam 22006375 450 991015157690332120220627194521.01-4842-2077-310.1007/978-1-4842-2077-1(CKB)3710000000951921(DE-He213)978-1-4842-2077-1(MiAaPQ)EBC4745984(CaSebORM)9781484220771(PPN)197141846(EXLCZ)99371000000095192120161118d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvanced R[electronic resource] data programming and the cloud /by Matt Wiley, Joshua F. Wiley1st ed. 2016.Berkeley, CA :Apress :Imprint: Apress,2016.1 online resource (XIX, 279 p. 77 illus., 40 illus. in color.)1-4842-2076-5 Includes bibliographical references and index.1.Programming Basics -- 2.Programming Utilities -- 3.Loops, flow control, and *apply functions -- 4.Writing Functions -- 5.Writing Classes and Methods -- 6.Writing a Package -- 7.Data Management using data.table -- 8.Data Munging With data.table -- 9.Other Tools for Data Management -- 10.Reading Big Data(bases) -- 11.Getting a Cloud -- 12.Ubuntu for Windows Users -- 13.Every Cloud has a Shiny lining -- 14.Shiny Dashboard Sampler -- 15.Dynamic Reports and the Cloud -- References.Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R to programming in R to automate tasks. This book will show you how to manipulate data in modern R structures and includes connecting R to data bases such as SQLite, PostgeSQL, and MongoDB. The book closes with a hands-on section to get R running in the cloud. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics. What You Will Learn Write and document R functions Make an R package and share it via GitHub or privately Add tests to R code to insure it works as intended Build packages automatically with GitHub Use R to talk directly to databases and do complex data management Run R in the Amazon cloud Generate presentation-ready tables and reports using R Who This Book Is For Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.Programming languages (Electronic computers)Mathematical statisticsStatistics Computer programmingR (Computer program language)Programming Languages, Compilers, Interpretershttps://scigraph.springernature.com/ontologies/product-market-codes/I14037Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Programming languages (Electronic computers).Mathematical statistics.Statistics .Computer programming.R (Computer program language).Programming Languages, Compilers, Interpreters.Probability and Statistics in Computer Science.Statistics and Computing/Statistics Programs.Programming Techniques.005.13Wiley Mattauthttp://id.loc.gov/vocabulary/relators/aut897297Wiley Joshua Fauthttp://id.loc.gov/vocabulary/relators/autUMIUMIBOOK9910151576903321Advanced R2004672UNINA