How To Use R (Programming)

Transcription

1 REvolution R Enterprise 3 R Productivity Environment for Windows

2 February 23, 2010: Welcome! Thanks for coming. Yes! Slides are available: Q&A Your presenter: David Smith VP Marketing, REvolution Computing Editor, Revolutions blog 2

3 REvolution Computing: The R Company REvolution R Enterprise Subscription-based version, bundled with proprietary extensions Fully supported, validated REvolution R Community Free, high-performance binary distribution of R R Community Development R Evangelism (blog.revolution-computing.com) R community portal Technical and financial contributions to R Project R Consulting and Training 3

4 What is R? Data analysis software A programming language 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 Learn more: 4

5 REvolution R Enterprise 3.1 for Windows RPE: R Productivity Environment Speed the process of creating and debugging R code 64-bit Windows support Use all available RAM to process large data sets Optimized for performance R programs use multiple CPUs to run faster Parallel Programming tools Use multiple computers to speed computations on large data sets 100% Compatible with R community packages available for free download 5

6 7 6Ways to Increase your R Productivity

7 Why a New User Interface for R on Windows? Make R a production-ready solution for business Speed the process of creating quality R code Productivity tools to insert and edit R commands Powerful debugging tools to find and fix problems Collaboration environment for programming teams Manage code, data and output files Provide a professional-grade integrated development environment (IDE) for the R language Visual Studio-like interface with familiar to Windows programmers 7

8 7 Ways to Improve Your Productivity With the R Productivity Environment: 1. Solutions: Manage R Applications 2. Snippets: Fill-in-the-blank Tasks 3. Enhanced R Script Editor 4. Object Browser: Manage R objects 5. Interactive Debugger 6. Advanced Search and Help 7. Work with larger datasets on 64-bit Windows 8

9 #1 Solutions and Projects Solution: Collect data, files for projects Corresponds to one R workspace / working directory Storage for common files for projects Project: Independent set of R scripts You can have multiple projects per solution 9

10 # 1 Solutions and Projects continued Avoid shortcut hell for R Recent Solutions Switch Solutions Always be in the right working directory Standardize project structures Encourages use of relative file names Project Templates Share projects Just zip-and-send for a working R application 10

11 #2 Facilitate Common Tasks with Snippets Snippet : A predefined template for common R idioms Insert snippet, then fill in the blanks Bring new R users up to speed quickly Better than dialogs for enhancing skills 11

12 #2 Code Snippets Manager: Create and Share Snippets Create your own snippets Automate programming frequent tasks Share snippets with colleagues Standardize analyses, charts etc. Enforce coding standards 12

13 #3 Intelligent R Script Editor Syntax-aware R script editor & command line Detect syntax errors in real time Function & object completion Hover over help & variable inspection Indenting and highlighting Change detection & Outlining Comment / uncomment Avoid code errors while creating R programs more quickly 13

14 #3 Intelligent R Script Editor Hover-over help in Script editor 14

15 #4 Object Browser Inspect objects in current environment List installed and loaded packages Browse objects in packages Inspect and edit data Plot data objects Saves time: just point at an object to inspect its value 15

16 #5 Interactive Debugger One-click to set a breakpoint in an R script or function Debug/Release mode to enable/disable breakpoints Step execution: next line, over or into functions Inspect or modify variables in running code Eliminate the edit -> browser -> repair cycle Avoid embarrassment from forgotten debug code! 16

17 #5 Interactive Debugger Active breakpoint in R script editor 17

18 #6 Advanced Search and Help Search all files in solution / project Search all R Help files Search all manuals 18

19 #7 Work with larger data sets R on 32-bit Windows limited to 3Gb RAM total. Even if you have more RAM installed Error: unable to allocate vector of size REvolution R Enterprise is the only distribution of R supported on 64-bit Windows Use all available RAM 19

20 Some Final Observations Finally, a professional-grade development environment for R Makes debugging a no-brainer instead of a chore Automatic syntax checking saves a lot of time Makes R acceptable as a mainstream production tool Use all available RAM to analyze data on 64-bit Windows Available now to REvolution R Enterprise subscribers for 32-bit and 64-bit Windows 20

21 Thank You! Try REvolution R Enterprise 3.1: Webinar replay / Slide download: david@revolution-computing.com REvolutions blog: 21

22 Bonus Slides

23 Personalize Your R Working Environment Fully-customizable Integrated Development Environment system Hide, dock and pin windows Tabbed UI to manage multiple source files Personal Bookmarks to navigate files 23