Red-R

Red-R is an open source visual programming interface for those who use R programming language in order to analyze and manipulate large data flows.

It's an extension of Orange, a data mining framework written in Python and Qt. It's really easy-to-use and sports a rather intuitive graphical interface, packed with lots of useful tools.

The framework doesn't take long to install and it doesn't have a complicated setup that you would need to complete. It automatically detects if your computer has certain data packages installed and grabs them off the internet if you don't.

Red-R is not actually used for writing code, but for analyzing data sets and information they contain, by creating widgets and links between them.

The first thing that you need to do after launching Red-R is to create widgets and set links between them. There are many steps that you must complete until the framework is finished, but firstly assign files to each of the widget.

You can import whichever file you want from your computer, as long as it has the following formats .txt, .csv, .tab or .xls. Pick the type of file, choose between text, excel or clipboard and check the file preview. You can also add a column separator, name columns and row or set the application to skip certain lines.

Datasets are loaded in a different widget, double click on it to view them. You can merge information, check data classification, subsettings, stats and the R code. Other than that, it allows users to import their own pipelines or schemes in .rss or .rrts formats.

There's the option to work on multiple data sets at the same time, simply add another tab to the main window and create new pipelines and schemes. The framework even allows users to create reports, with the click of one icon it generates a detailed text report with all of the data sets.

Red-R is a very nice framework for working with data sets, creating widgets and manipulating information.