This tutorial provides step-by-step instructions on how to launch R AnalyticFlow.
R AnalyticFlow is a software that enables simple to complex data analysis through the drawing of analysis flowcharts. The key advantage of the use of analysis flowcharts is the effective sharing of the data analysis processes in multi-user or multi-developer or team collaboration contexts. R AnalyticFlow is one of a number of integrated / interactive development environment (IDE) for R. An IDE is a software application that provides comprehensive facilities to computer programmers for software development.
This tutorial shows how to launch R AnalyticFlow on a computer with Windows 7 installed. The same set of instructions will be applicable for a computer running on Windows 8.
This tutorial assumes that R is already installed on your computer (see tutorial on Installing R) and that you are familiar with what R is (see Introduction to R) and that R AnalyticFlow is also already installed on your computer (see tutorial on Installing R AnalyticFlow).
1. Launching R AnalyticFlow from desktop shortcut
During installation of R AnalyticFlow, you may have chosen for a shortcut of R AnalyticFlow to be created. If so, then the shortcut would have been placed on your Desktop. You can confirm this by viewing your Desktop and finding the R AnalyticFlow icon (1).
Double-click on this shortcut icon to opn R AnalyticFlow.
2. Launching R AnalyticFlow from Start Menu
During installation of R AnalyticFlow, you may have also chosen to create an R AnalyticFlow folder at the Start Menu. If so, then you can open R AnalyticFlow by going to the Start Menu, then Programs and then locating the Start Menu folder of R AnalyticFlow (2). Click on the folder and then click on the R AnalyticFlow icon (2).
3. Initialising R AnalyticFlow
4. Start using R AnalyticFlow
When launching R AnalyticFlow, the ‘Project’ dialog box (4) will appear. From here, there are two options on how to start using R AnalyticFlow. First option is to click on ‘Quick Start’ (5) which leads directly to the R AnalyticFlow IDE (see below).
Second option is to click on ‘New Project…’ (6).
Clicking on ‘New Project…’ will bring up the ‘New Project…’ dialog box (7) which asks for additional information relevant to the new project that is being created:
- Project Name – this is the name you want to give to the new project you are creating (8);
- Path – this is the path to a directory in your computer which you want to be the working directory for the project you are creating (9);
- Add to Bookmark as – this option allows for a bookmark to be saved in the projects cache of R AnalyticFlow. The next time R AnalyticFlow is launched, the bookmark chosen for this specific project will be displayed and is selectable. This option is by default selected and you can provide the name to use for the bookmark (10).
5. R AnalyticFlow IDE user interface
Once you have selected an option in the project dialog box, R AnalyticFlow IDE becomes available for use. The R AnalyticFlow has user interface features such as a menu ribbon and a menu toolbar (11). The R AnalyticFlow workspace is divided into three sections. On the upper left side (12) is a file browser, object browser, search function, breakpoint browser and task browser. On the lower left side (13) is an R console. Finally, on the right side (14) is the workflow generator that provides build automation tools useful in creating nodes for the workflow.
From here, you are now ready to start creating your analytic workflows.