Live-R’s Universal User Interface Features
Live-R’s Universal User Interface integrates unique innovations with the best UI features of MATLAB, SAS, and SPSS to deliver a highly functional, desktop-quality user experience for multiple user types of varying education and analytics expertise.

Live-R’s web-based command-line window is powerful and works exactly the same as the desktop-based R command-line window, with standard terminal features such as command history, key mapping etc. fully supported.

Live-R provides a panel that uniformly lists and summaries all variables in the R workspace in real-time; delivering one-click workspace variables management.

Live-R’s drag-&-drop, visual workflow builder enables users to construct advanced data analytics workflows in an intuitive, visual programming environment. Workflows can be executed instantly on the cloud or can be scheduled for execution via Live-R’s full-featured scheduling engine.

Live-R provides a full-featured, cloud-based scheduling engine that enables users to schedule multiple, concurrent R jobs in the cloud.

Live-R’s user interface supports both interpreted interactive and non-interpreted editor-style script editing via the web.

Live-R provides a file explorer for managing user data in the cloud. Cloud file management (e.g., upload, download, create, edit, delete, etc.) is performed with a single click within Live-R’s universal Cloud Files Explorer panel.

Live-R provides an intuitive, easy-to-use Big Data Browser panel to browse/view large variables/matrices, frame-by-frame.

Live-R provides multiple ways to execute R scripts. Users can manually execute scripts from the Web Terminal, or execute R scripts from the Script Editor, or schedule R jobs, or execute an R script from Live-R’s Cloud File Explorer.

Live-R enables users to share active R sessions with co-workers, using any Browser with any Operating System, by sending a quick link via email or chat message.

Live-R enables users to share workflows, securely, in real-time with local and remote colleagues and co-workers via any standard browser; no downloads nor installations required.

Live-R’s visual workflow builder includes an embedded chat window for communication with colleagues and co-workers while building R workflows; no downloads nor installations required.

Live-R enables R output to be redirected to a file in the cloud, which is extremely useful for auditing and debugging R scripts.

Live-R provides a separate command history panel that enables one-click retrieval and execution of previously executed R commands.

Live-R enables users to load a previously saved R Environment into an active Live-R session by selecting and uploading a locally saved R Environment file for immediate use.

Live-R enables users to save an active R session to a local drive for periodic check-pointing. Users can then restore saved sessions by uploading a locally saved Live-R Environment file into an active Live-R session to continue working from the saved checkpoint.

Live-R’s “Upload Script & Execute” menu/dialog box enables users to execute locally stored R files; enabling users to select and upload a locally saved R file into a user-selected cloud-remote directory. Once uploaded the file’s commands/contents are read into the active R session and executed.

Live-R enables users to upload, store and manage all Live-R resources to the cloud. Users can upload scripts, data, reports, output files etc. with a single click.

Live-R enables users to reset R sessions with a single click; enabling users to quickly reset an R session when they no longer need a current environment — highly useful for power R users.

Live-R provides automatic check-pointing, when users are inactive, to safely save active Live-R sessions in the cloud.

Live-R’s user interface is fully customizable. All panels are collapsible, sizable and can be hidden to focus on current panels of interest.

Live-R’s user interface supports multiple languages via I18N (Internationalization). Look-&-feel & language options can be changed in Live-R’s user preferences panel.

Live-R’s user interface makes scheduling repetitive jobs extremely easy via its intuitive, full-featured scheduling panel. Users can schedule local or cloud R job files.

Live-R’s user interface delivers a comprehensive help system that is non-modal and is accessible independent of the user session.
Live-R’s Live Collaboration Features
Live-R delivers an excellent, bottom-up, data-sharing model with real-time interactivity; enabling users to share data, analysis sessions, workflows and results, thereby facilitating highly-collaborative data analytics and team productivity.
Live-R enables users to share active R sessions with colleagues & co-workers, using any Browser with any Operating System, by sending a quick link via email or chat message from withing Live-R’s user interface.

Live-R enables users to embed results and publication-quality graphics into any blog or webpage via a simple string cut-&-paste operation; making it as easy to embed Live-R charts & graphs as YouTube videos or SlideShare presentations.

Live-R’s workflow builder includes a chat window to facilitate communication & collaboration among co-workers while building R workflows. No need for downloads nor installations.

Users can access their Google Docs and Spreadsheet files directly from Live-R’s Cloud Files Explorer panel, without disclosing Google passwords.

Live-R enables users to share workflows in real-time with local and remote co-workers, instantly and securely, via a standard browser; no local downloads nor installations required.

Live-R delivers user-specific, universal RSS (Really Simple Syndication) feeds to track R jobs for users on-the-go. The feed can be accessed via any RSS client reader, including mobile devices, for up-to-the-minute R job status.

Live-R supports universal sharing of user files stored in the cloud. Users can create individual file directories that can be shared with co-workers to create a collaborative work environment.

Live-R’s workflow builder delivers a real-time activity tracker to track and analyze all workflows that were executed by the user, with real-time status via RSS (Really Simple Syndication).

Live-R provides a panel that lists all recently used widgets, and enables users to bookmark their favorite widgets.
Live-R’s Visual Workflow Builder for R
Live-R’s drag-&-drop, visual workflow builder enables users to construct and schedule advanced data analytics workflows in an intuitive, visual programming environment.

Live-R’s drag-&-drop, visual workflow builder enables users to construct and schedule advanced data analytics workflows in an intuitive, visual programming environment. User workflows can be executed instantly on the cloud or scheduled to be executed via Live-R’s scheduling panel.

Live-R’s workflow script importer reads-in any user provided R script, parses it, and creates a set of user-specific workflow widgets that can be used to build workflows, instantly. Users can either upload their R script files or provide an URL to their script files.

User created workflows can be executed in the cloud with a single-click. The active workflow on the workflow builder canvas is executed in the cloud and results are displayed in the output panel, dynamically. Execution reports can also be generated for users to publish results online.

Live-R’s visual workflow builder includes a chat window to facilitate communication & collaboration among colleagues & co-workers while collaboratively creating R workflows.

Live-R’s workflow builder provides a chat window to collaborate with a co-worker while building an R workflow. No need of any additional downloads; the chat feature is embedded inside the Live-R workflow builder.

Live-R provides all R functions (from R packages included in the base R installation) as workflow widgets. Workflow widgets are categorized by functionality and parent R package for quick reference and access.

Live-R enables users to load a previously saved R workflow into an active Live-R visual workflow builder canvas. Users simply select and upload a locally saved workflow file or drag-&-drop a cloud-based file for immediate use.

Live-R enables users to save workflows to a local drive or cloud file. Live-R automatically saves the active workflow at regular intervals. Additionally, Live-R remembers the user’s last active workflow and makes it available when the user logs back into Live-R.

Live-R delivers a full-featured job scheduling panel to schedule workflows for execution in the cloud. Live job status updates can be tracked via Live-R’s job management console.

Live-R’s visual workflow builder delivers an RSS (Really Simple Syndication)-based activity tracker to track and analyze all workflows, in real-time, executed by the user.

Live-R delivers a panel that lists all the recent widgets a user used. Also, users can bookmark their favorite widgets.
Live-R’s Cloud File Management Features
Live-R’s comprehensive, web-delivered cloud file management console enables users to perform day-to-day data management tasks on local and cloud-hosted files & folders.

Live-R provides a file explorer for managing user files in the cloud. Cloud file management (e.g., upload, download,create, edit, delete, etc.) is performed with a single click via Live-R’s universal Cloud Files Explorer panel.

Live-R enables users to store and manage all user resources in the cloud. You can upload your scripts, data, reports, output files etc. to the cloud with a single click within Live-R’s user interface.

Users can access their Google Docs and Spreadsheets file directly from inside Live-R’s Cloud Files Explorer panel. No need to disclose Google passwords to access Google files.

Live-R’s workflow script importer reads-in any user provided R script, parses it, and creates user-specific workflow widgets that can be used to build a workflow. Users can either upload script files or provide an URL to script files.

Live-R’s Online Script Editor enables users to edit files stored in the cloud from within Live-R’s user interface. The full-featured, web-based file/script editor enables users to perform ad hoc exploratory data analysis.

Live-R supports secure, universal data sharing of user files stored in the cloud. Users can create individual data directories that are shared with colleagues & co-workers to create a collaborative work environment.

Live-R provides multiple ways to execute users’ R scripts. Users can manually execute scripts from the Web Terminal, or execute R scripts from the Script Editor, or schedule R jobs via the scheduler, or execute an R script from the Remote Directory Explorer.
Live-R’s Visualization Features
Live-R’s easy-to-use, highly-customizable visualizations engine creates eye-catching, publication-quality charts & graphs.

Live-R’s easy-to-use, highly-customizable visualizations engine creates eye-catching, publication-quality graphs and charts. Live-R dynamically renders Flash-based, interactive charts and graphs from R variables.

Live-R supports numerous single series and multi-series chart types that can be rendered on any structured R data-type. The charts are fully customizable with title, sub-title, axes, trend-lines, legends etc.

Live-R enables users to embed results and publication-quality graphics into any webpage or blog via a simple string cut-&-paste operation; making it as easy to embed Live-R charts & graphs as YouTube videos or SlideShare presentations.

Live-R delivers enhanced report generation capabilities that enable users to generate reports and publish them online through a single interface. The reports are accessible from any Internet-enabled computer. The job reports can be created with a single-click.

User created workflows can be executed in the cloud with a single-click. The active workflow on the visual workflow builder canvas is executed in the cloud and results are displayed in the output panel, dynamically. Execution reports can also be generated to publish results online.

Live-R supports native R plotting via its web terminal, which is 100% compatible with the desktop R. Additionally, users can save the generated images to their local drive.
Live-R’s Job Scheduling Features
Live-R’s flexible, full-featured job scheduler improves business process automation by enabling users to schedule multiple, independent jobs simultaneously, and then track them via Live-R’s job tracker or an RSS feed.

Live-R provides an excellent cloud-based job scheduler that enables users to simultaneously schedule multiple R jobs in the cloud.

Live-R’s user interface makes scheduling repetitive jobs extremely easy via its intuitive job scheduling panel. Users can select local files or cloud files to schedule batch jobs.

Live-R’s universal job management console enables users to manage all their jobs through a single management console. Live updates can be tracked in the management console.

Live-R delivers user-specific RSS (Really Simple Syndication) feeds to track jobs while on-the-go. The feed can be accessed via any RSS client reader, including mobile devices, for up-to-the-minute job status.

Live-R delivers an efficient job scheduling panel to schedule user workflows for execution in the cloud. Live updates can be tracked through Live-R’s job management console.
Live-R’s Deployment & Customization Features
Live-R enables organizations to deploy best-practices data analytics frameworks campus-wide, quickly and efficiently; giving role-based access to users without worrying about the existing infrastructure.

Live-R’s user interface is fully customizable. All panels are collapsible, resizable and can be hidden to focus on current panels of interest.

Live-R has several domain & industry specific deployments such as Live-R Finance, Live-R Bioinformatics, Live-R Data Mining & Machine Learning etc. These deployments come with preloaded R packages that are ready and able to perform domain & industry specific tasks, efficiently.

Live-R can be deployed and customized inside customers’ existing intranets & private clouds. Live-R plays well with existing security, authentication,storage & quota infrastructures.

Live-R’s user interface supports multiple languages via I18N (Internationalization). Look-&-feel & language options can be changed in Live-R’s user preferences panel.

Live-R enables R output to be redirected to a file in the cloud, which is extremely useful for auditing and debugging R scripts.
Live-R’s Online Documentation and Help Features
Live-R provides a comprehensive set of online and offline documentation. Live-R’s 24/7 customer support team is ready to resolve any Live-R related issues.

Live-R provides a set of executable tutorials to help novice R users become familiar with the power and flexibility of the R scripting/programming environment.

Live-R’s user interface includes a comprehensive help system that is non-modal and accessible independent of the user session.

Live-R’s dedicated support staff is always available to resolve all Live-R usage, deployment, post-processing, and customization issues.