When I wrote a white paper titled “R Is Hot” about four years ago, my goal was to introduce the R programming language to a larger audience of statistical analysts and data scientists. As it turned out, the timing couldn’t have been bet...
[x+1] Completes Next-Generation POE; Its Origin...
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Organize, view, add, remove, rearrange, and deploy R scripts with the visual Solution Explorer
Organize scripts: Use the Solution Explorer to view, add, remove, and rearrange R scripts within one or more Projects contained in the Solution
Start a new R session: From the File menu, select one of your existing R Solutions to start a new R session with easy access to all of the relevant scripts and data
Create Project Templates: Save a Project as a template, and then automatically create a set of customized scripts for a new project. Easily Distribution Solutions to Others: Just zip up your solution directory and give it to colleagues to load and use
Use the enhanced R script editor and get new and occasional R users up and going quickly and greatly improve productivity of experienced users
Hover-over help, word completion, find-across-files capability, automatic syntax checking, bookmarks, and navigation buttons
View all the data and function objects that are available, including those in loaded and installed R packages in the Object Browser
Browse all available objects
Get object-specific information
Plot and edit data
Debug R scripts, with step-in, step-over, and step-out capability, allowing users to inspect and modify R objects as they are debugging
Debug mode for scripts : step through progress line-by-line
Set visual breakpoints directly in R source code
Step into and out of functions while debugging
Inspect variables while debugging
Automatically generate fill-in-the-blank sections of R code for a variety of analyses
Write your own code snippet and share with others
Search the text of all of installed R package help files or all of the included electronic manuals with enhanced help features
Hover-over tooltips for functions and data objects
Analyze larger data sets with 64-bit Windows support