Go to TogaWare.com Home Page. Data Science Desktop Survival Guide
by Graham Williams
Duck Duck Go


Editing Code

Often we will be interacting with R by writing code and sending that code to the R Interpreter so that it can be run (locally or remotely). It is always good practice to store this code into a file so that we have a record of what we have done and are able to replicate the work at a later time. Such a file is called an R Script. We can create a new R Script by clicking on the first icon on the toolbar and choosing the first item in the resulting menu as in Figure 2.2. A keyboard shortcut is also available to do this: Ctrl+Shift+N (hold the Ctrl and the Shift keys down and press the N key). A sophisticated file editor is presented as the top left pane within . The tab will initially be named Untitled1 until we actually save the script to a file on the disk. When we do so we will be asked to provide a name for the file. The editor is where we write our R code and compose the programs that instruct the computer to perform particular tasks. The editor provides numerous features that are expected in a modern program editor. These include syntax colouring, automatic indentation to improve layout, automatic command completion, interactive command documentation, and the ability to send specific commands to the R Console to have them run by the R Interpreter.
Figure: Ready to edit R scripts in using the Editor pane on the top left created when we choose to add a new R Script from the toolbar menu displayed by clicking the icon highlighted in red.
Image rstudio_startup_editor_annotate

Support further development by purchasing the PDF version of the book.
Other online resources include the GNU/Linux Desktop Survival Guide.
Books available on Amazon include Data Mining with Rattle and Essentials of Data Science.
Popular open source software includes rattle and wajig.
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