R Portable 3.3.2
Configure R to work with the PortableApps framework
Configure R to work with the PortableApps framework
Software Specs
Publisher:............ halpo
License:............... GPL
File size:.............. 72806.4 MB
Downloads:.........
Release date:...... 14 Mar 2014
Last update:........ 02 Nov 2016
Publisher review for R Portable 3.3.2:
Review by: halpo
R is a software programming language designed for statistical computing and graphic display. This is the portable version of the console that can be placed on any removable storage device without worrying about leaving traces on the working computer.
On Windows, R can be invoked either via the built-in command console or you can use the interactive, console-based GUI for more comfortable usage. Like many other consoles, the one for R language seems like a simple text editor, but it has some particularities.
Working with R console includes some special functions that should help move around faster and more efficiently. Scrolling can be done using the keyboard with PgUp, PgDown, Ctrl arrow keys or the Ctrl Home/End to move to the beginning or end of a line.
Editing and deleting is also carried out via keyboard and the information under the Console entry in the Help menu shows all the keys that control moving back and forth on a line, accessing the history or for deleting everything from the current character until the end of the line.
It allows installing new packages that make R more versatile and there is also the possibility to stop either the current or all computations with a single click.
R is mainly used by data miners for creating statistical and data analysis applications. It is similar to S language, many considering the former a different implementation of the latter; the similarities between the two languages allow code written in S can run under R with no problem.
Among the advantages of R is the ease of producing high quality plots such as mathematical formulas or symbols; also, it is suitable for a great deal of statistical and graphical techniques (linear and nonlinear modeling, time-series analysis, clustering) and it can be expanded via packages created by the users.
Requirements:
Operating system:
Windows All
R Portable download tags:
Copyright information:
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