# Rgedit 0.8 Help

(c) 2009 - 2012, Dan Dediu

First, please be aware of several potential security issues when installing new wizards!

Table of Contents

Introduction
Main features
Wizards
Profiles
Notes and FAQ
Acknowledgements

## Introduction

Rgedit is a gedit plug-in tranforming it into a light weight IDE capable to interface primarily with the statistical programming environment R , but also with other interactive software packages such as Octave and Pyhton , and even work remotely through, for example, SSH connections.

The project was inspired by the amazing rkward , JGR , Tinn-R and RStudio (congratulations for a very good job!), which provide full-featured IDEs for R, designed for KDE , Java , MS Windows , and cross-platformm respectively.

Rgedit, however, aims to offer a simpler set of features than them, providing the proficient/professional R (and Octave, Python, etc.) user an environment which would boost their efficieny while keeping interference and resources consumption to a minimum. Moreover, by using GTK+ and gedit, it is better suited not only to users of Gnome and Xfce, but also to those who prefer for example Openbox or Fluxbox and their own collection of applications. In fact, Rgedit is designed to facilitate working with R (and Octave, Python, etc.) under Linux more or less independently of the Window Manager/Desktop Environment (I now work primarily on OpenSuse and CentOS , but this project was developed and used also on Debian , Archlinux and Ubuntu ).

## Main features

Below is a screen shot of a session using Rgedit (screenshots taken on a variety of systems: Debian Lenny/Gnome, ArchLinux/Xfce & Openbox, Debian Squeeze/Xfce, Ubuntu 10.04/Gnome).

This shot illustrates some of the main features of Rgedit:

- advanced editing offered by gedit, including multiple tabs each containing a different document and syntax highlighting;
- bottom panel containing one or more different consoles which can be accessed using the tabs on the right hand side (in this case, there are two R consoles open);
- these tabs can have custom names, color schemes and prompts for easy identification;
- the capacity to run the current line, current selection or the whole source file by clicking the appropriate buttons in the toolbar;
- the capacity to define blocks of source code - which are smart enough to take into account editing - and run them (in this shot, there is a block defined between lines 29 and 37);
- basic code folding: line 41 is the "head" of a whole section of source code, with the tooltip showing the first and last couple of folded lines;
- an optional left panel tab showing the most important elements of the R file (function defintions, data.frame defintions and custom landmark comments) and allowing fast navigation with the mouse;
- profiles are a very powerful and general mechanism allowing the user to use not only R but also Octave, Python or even conduct remote sessions over SSH, but to define his/her own profile or customize them to his/her own environment (for more information please see here).

More options are provided by the R menu captured below:

The options accessible through the "Configure R interface" menu are the same as those accessible through gedit's plug-in configuration and are shown below:

- "Send as text a selection of at most NNN lines": implicitly, the current line and current selection are sent to the R console as if typed by the user using the keyboard, while the whole file and the source blocks are sent using R's source() function through a temporary file. The obvious advantage of the first method is that the line(s) are available in the history using the Up and Down keys, but it is limited by the size of R console's buffer. Therefore, it is recommended that selections larger than NNN lines be sent using the source() method;
- "Echo commands sent through source() (i.e., not as text)?": uncheck if you want to avoid seeing the actual commands piped to the R console using source(). This could be useful when sending large quantities of text to R and the interest is mainly in the actual results produced;
- "Use HTML help?": if using HTML help the help pages will be opened using the current Web browser, otherwise the within-console system will be used;
- "Advance to next line after sending the current one to R?": if yes, the editor will make the next line current, otherwise the current line will stay the same;
- "Audible bell?" and "Visible bell?": console options concerning the bell;
- Each of the (at most three) tabs containing an R console can have its own "foreground", "background" and R "prompt" colors (but see note v);
- "Use tab name in R's prompt?": should R's prompt contain the tab's name in addition to the standard ">" and "+" symbols? You can rename a tab by right-clicking inside its R console, select "Tab name" from the menu and change the name in the dialog box (see screencaptures below);

- "Cursor blink": the cursor in the R console can use either the system blinking settings, can blink anyway or not;
- "Cursor shape": the cursor in the R console can be shaped as a block, beam or line;
- "Font": allows the user to select the font used by the R console;
- "Scroll on keystroke?" and "Scroll on output?": should the R console scroll on these two events?
- "Scrollback lines NNN": how many lies to keep in the R console's history?
- "Start R console automatically when gedit starts?": if yes, the first R console will automatically start when gedit starts, otherwise the user will have to explicitly spawn it using the "Create new R workspace tab..." command: this conserves resources when gedit is rarely used to edit R code;
- "Should new R consoles use the current document's directory?": if checked, all newly started R consoles try to set the working directory to be the current' document's directory;
- "Show rgedit's warnings and messages when R starts?": if checked, then upon starting a new R console the most current warnings and messages (concerning new features and issues) are displayed as comments in the R consoles;
- "Start R console detached from gedit's bottom panel?": if yes, the R console will automatically start detached (as a separate window; see below);
- "Autorun R script on startup?": if yes, automatically runs a user-specified R script with an R console starts (or restarts);
- "Edit keyboard shortcuts": allows the user to define custom keyboard shortcuts through the dialog shown below. The shortcuts are introduced as text like "<Ctlr><Alt>X" or <Shift>P> or "None" if no shortcut is desired. For sending the current line/block/file/selection to R, "special" shortcuts involving Return and modifiers (<CTRL>,<SHIFT>,<ALT>) can be defined. Moreover, <Ctrl>C in the R console can be defined to copy the current selection (as in gedit itself), in which case <ESC> and/or <Ctrl>Q can be defined to do its job (i.e., to interrupt the current R task). Please note that gedit (actually, the plug-in) must be restarted for these changes to take effect. Also, shortcuts already used by gedit are unavailable;

- "Side panel options": allows the user to define behaviour of the side panel tab showing the most important landmakrs in the R document. The landmark comments are specially structured comments of the form # @@ RGEDIT LANDMARK @@: your text goes here which allow the user to define important places in the R document (by replacing the your text goes here with the desired information). These can be directly written in the document or inserted at the desired place using the right-click menu's or the R's menu Insert Landmark Comment.

- "Code folding options": while waiting for proper cde folding to be implemented in gtksourceview, the code folding engine provided by rgedit is fairly basic but functional. Its options can be accessed through the right-click menu within the editor view and provides the following possible actions depending on the context:

- "Fold block containing current line": this looks through the sourcecode and finds all valid R blocks (i.e., enclosed between { and }) containing the line on which the right-click was produced. Then, depending on the user's options as specified in the Code folding options dialog, it folds the highest level (i.e., largest) containing block, the lowest level (i.e., smallest) containing block or the highest/lowest level function() block;
- "Fold current selection": if there is a text selection, then the user can fold it;
- "Unfold code on current line": if the right-click occured on a line containing folded text (marked by color, text style, left-margin icon and a specific tooltip), the user can unfold it;
- "Unfold all folded code": this will unfold all (if any) folded code in the current document;
- "Inspect folded code...": if the right-click occured on a line containing folded text (marked by color, text style, left-margin icon and a specific tooltip), the user can insect its content in a dialog box without actually unfolding it;

- "Edit profiles": adds/deletes/changes profiles.

Please note that some changes affecting R consoles (namely Use HTML help?, Use tab name in R's prompt? and prompt color) assume that R is running in the console and that R is actually able to process commands. This is because these change R options through option() commands which must be changes for the process to succeed; therefore, please avoid making this kind of changes when R is not running in one of the consoles or when typing commands to R or R is busy doing something.
The R consoles can be either attached to (embedded in, see bove) gedit's bottom panel (the default) or detached (a stand-alone window, see below), in which case they can be moved and resized at will. When detached, Ctrl+Tab does not work, but the standard window manager's windows switching shortcut (usually, Alt+Tab) does. Also, the position and size of the detached R console is saved and automatically restored. To switch between the attached and detached states use the Attach R Console/Detach R Console menu entry or simply close the detached R console to embed it. The "Start R console detached from gedit's bottom panel?" option controlls if the R console starts detached or attached (the default).
From the R console's context menu (right click) you can:

- Copy and Paste: from and to the R console. <Ctrl+V> is the keyboard shortcut for paste and, if defined, <Ctrl+C> for copy (also see note iv);
- Change the tab's name: see details above;
- Always show tabs?: if checked show the tab even if a single R console exists;
- Show tabs on: defines the side of the bottom panel on which the R console tabs will be shown;
- Close the tab: you can close the current tab (but not the first one) by sending a SIGHUP signal to the shell process within which R is hosted;
- Start R and Restart R: these two commands start a fresh R session in the current console (tab), the only difference being that Start R assumes that the bash session is active and ready to process user input (e.g., after quitting R and working in bash for a while) as it simply starts a session with R --no-save --no-restore, followed by the appropriate option commands (e.g., options(htmlhelp = TRUE) and options( prompt="2> ", continue="2+ " )), while Restart R assumes a running and ready R session, as it first quits it with q() and then calls the Start R commands (see note viii as well);
- Change R's working folder: allows the user to select the desired working folder and changes it (assumes a running and ready R session as it send a setwd("<selected_directory>") command; see note viii as well);
- Use document's folder: changes R's working directory to the current document's directory;
- Load and Save R Workspace: allows the user to interactively load and save R's workspace.

Pressing Ctrl+Tab in a gedit document/tab will give the focus to the bottom pane and if the active tab in the bottom pane is an R console, pressing Ctrl+Tab again will give back the focus to the active gedit document/tab. Thus, assuming that an R console is active in the bottom pane, Ctrl+Tab switches the focus between it and the active document.
Please note that when the R console is detached, Ctrl+Tab is replaced by the window manager's window switching mechanism (in most cases, Alt+Tab).
One possible use scenario for rgedit is to edit a line of code in the R console using the various TAB-completion capabilities and incrementally test it, and then paste this working code in the R script: now this scenario is helped by two keyboard shortcuts in the R console: <Ctrl>K copies the last executed R line to clipboard, while <Ctrl><Shift>K also pastes this in the current gedit document at the cursor's position.
Selecting the "Close R Console" menu will close all open R tabs as well as the bottom panel tab/detached window containing R, in effect, closing the whole R console by seding to all running shells a SIGHUP signal.

## Wizards

From the user's point of view, Wizards are standardized dialogs allowing him/her to interactively define various parameters and which, in the end, generate pieces of R code to be run in the console, pasted in the R current document or both. Wizards can be accessed either through the R menu or through the right-click menu and as an example we will use the Wizard for plotting a histogram:
Selecting the Plots a histogram menu opens the wizard with the default values:
The user can give/select the relevant parameters using the messages, tooltips and the help page prduced by clicking on the Help button, as exemplified below:
By clicking Inspect code a widnow is opened presenting the user with the actual R code which will be generated using his/her values for the parameters. This code is generated from a predefined template (see below) and can be edited and checked for any possible issues:
In this case, the code simply draws a histogram (hist()) using the defined x parameter (in this case, rnorm(10000), but one could use already defined variables: for example, we could have already defined x.test <- rnorm(10000) before calling the wizard, in which case using x.test as the value of x would be meaningful and produce the same outcome). Clicking Paste and Run both pastes this R code in the current document at the cursor's position (lines 745-746 in the screenshot below) and runs the same code in the current R console (last 2 lines in the R console in the screenshot), producing, as expected, the histogram in the image:
This is just a simple wizard for illustration purposes, but more complex wizards can have more than a single dialog and Back and Next allow the navigation through them.
Wizards can also use the current selection in the current document as the value of a specially-defined parameter, like, for example, the Wizards -> Helpers -> View and edit -> View dataframe or matrix, where, for example, if we select rnorm(10000) in line 746 in the above screenshot, results in rnorm(10000) being automatically taken as the thing to be displayed:
The fileds marked with a star (*) are required fields which must be defined before the wizard can successfully end.
A special class of wizards have no interface (i.e., the user does not need to give any parameters through this interface), as is the case for the Package management wizards, allowing the user to install, update and load packages through a pre-defined GUI (similar to the standard interfaces on Windows and Mac OS).
This set of core packages is released independently of rgedit and the initial version (0.1) contains a small set, mostly for demostration purposes, which is expected to increase:
- Association tests
- Correlation: basic correlation between two numeric vectors, illustrating a wizard with two dialogs;
- Data import and export: saving, loading and importing data from and to R
- Write data to flat file
- Write R data to file
- Read data from Excel file
- Read data from flat file
- Read data from SPSS file
- Read previously saved R data
- Helpers:
- Search help: search the help for a keyrowd using ?
- View and edit:
- View dataframe or matrix: showData()
- Edit dataframe or matrix: fix()
- Package management:
- Install packages from a CRAN mirror
- Update packages from a CRAN mirror
- Choose CRAN mirror
- Load package
- Plots: basic plotting functions, for illustration purposes
- Plots a histogram
- Boxplot of a single variable
- Plots the data versus observation index
- Regression:
- Logistic regression
- Multiple linear regression
Thus, wizards allow rgedit to become more user-friendly, especially for those learning R, by encapsulating frequently used and/or complex R scripts in a series of menus and GUIs.
However, the real power of wizards is that, by contrast to other packages offering menus and GUIs over R (Windows and Mac OS interfaces, rkward, Rcommander, etc), they can de very easily created and changed with minimal programming skills. In fact, a wizard is an XML file defining the parameters of interest, the R template and the mechanism of transfroming these two into the final, customized R code the user want. I will illustrate these below using the same Plots a histogram wizard. The wizard is defined in the plots_hist.xml file in the Wizards folder of the rgedit folder (usually, ~/.gnome2/gedit/plugins/RCtrl):

01 <!-- Define a rwizard -->
02 <rwizard name="hist" description="Plots a histogram"
03 menu="/Plots" icon="plots_hist.png">
04 <about
05 name="Histogram"
06 version="0.1"
07 copyright="(c) 2010 Dan Dediu"
08 comments="Plots a histogram. Inspired by R Commander's 'Histogram'"
09 license="GLPv3"
10 website="http://rgedit.sourceforge.net/"
11 authors="Dan Dediu &lt;ddediu@hotmail.com&gt;"
12 documenters=""
13 artists=""
14 translator_credits=""
15 logo_icon_name="plots_hist.png"/>
16
17 <help rhelp="?hist"/>
18
19 <vars>
20 <block title="Histogram's parameters...">
21 <variable name="x" description="The variable to be plotted" type="text" default="" required="True" tooltip="Must represent a numeric vector"/>
22 <variable name="breaks" description="The alhorithm for computing the breaks" type="text" default='"Sturges"' required="True" tooltip="See documentation for possible values. Please quote strings!"/>
23 <variable name="freq" description="Represent frequencies" type="list" singlechoice="True" default="0" required="False" tooltip=''>
24 <value name="default"/>
25 <value name="TRUE"/>
26 <value name="FALSE"/>
27 </variable>
28 <variable name="main" description="The plot's main title" type="text" default="default" required="True" tooltip="Make sure to quote fixed strings!"/>
29 <variable name="xlab" description="The x-axis label" type="text" default="default" required="True" tooltip="Make sure to quote fixed strings!"/>
30 <variable name="ylab" description="The y-axis label" type="text" default="default" required="True" tooltip="Make sure to quote fixed strings!"/>
31 </block>
32 </vars>
33
34 <!-- The actual R code template: only strange things are the placeholders call using ${PLACEHOLDER_NAME} and the Python code $[...$] -->
35 <template>
36 hist( x=${x}, breaks=${breaks} $[Python '' if '${freq}'=='default' else ', ${freq}' $] $[Python '' if '${main}' == "default" else ', main=${main}' $] $[Python '' if '${xlab}' == "default" else ', xlab=${xlab}' $] $[Python '' if '${ylab}' == "default" else ', ylab=${ylab}' $] )
37 </template>
38
39 </rwizard>

The rwizard element defines the wizard with the given unique name (used internally only), a short description (used to generate the menu), the path in the Wizards menu where to insert this wizard and an optional icon file.
It can have an About box defined by the about element: please note that given that this is an XML file, one must use escape sequences like &lt; for < and &gt; for > as done in the authors attribute to give the e-mail address!
It can also have some html information, given by the help element, which can have any of the following attributes: file (give a local file), url (a remote file) or rhelp (giving an actual sequence of R command to be run in order to procude the help).
The vars element contains one or more block elements. One block creates a dialog box (like the one exemplified above for Plots a histogram) containing fields as defined by the contained variable elements. One variable element defines a single variable with a given name, a description of the variable, a type, a default value, a flag specifying if it is required for the variable to have a non-empty value in order for the wizard to finish correctly and an optional tooltip text to be displayed when the mouse is over this variable in the dialog box. There can be several types of variables:

- "text" is the simplest and means that the variable can be any text and creates a one-line edit widget in the interface;
- "list" represents a list of pre-defined values (given by the value elements) and the user can select one (singlechoice="True") through a combobox widget; default in this case is the number of the default choice, starting at 0;
- "editablelist" is a list of pre-defined values (given by the value elements) but the user can introduce a new one as well, through an editable combobox widget; default in this case is a free string, as for "text";
- "bool" is represented by a checkbox widget and stands for a boolean value.

Finally, the template element gives the R code template and the replacement rules. This gives a fragment of text which is transformed into actual R code to be pasted into the current document and/or to be run in the R console simply by copying it literally except for replacing the variable placeholders with their actual values and running any given Python code and replacing it with the resulting value.
For example, line 36 begins with hist( x=${x}, . A variable placeholder begins with ${ and end with } and contains the name of a variable defined by a previous variable element, in this case, x defined on line 21 as being a required text. Suppose (as in our Plots a histogram example) that the user has typed rnorm(10000) as the value of x; then, ${x} will be replaced by rnorm(10000), producing the final text hist( x=rnorm(10000), . Similarily, ${breaks} will be replaced by "Sturges".
However, now we encounter a Python fragment, marked by $[Python and $], and which contain a Pyhton expression which will be evaluated by the Python interpreter to produce a value. Please note that the evaluation taks place after all variable placeholders (if any) are replaced by their actual values, as just described. Thus, $[Python '' if '${freq}'=='default' else ', ${freq}' $], will give $[Python '' if 'default'=='default' else ', default' $] after replacing ${freq} by its given value default (very importantly, please note that quotes are not automatically provided in this replacement process and have to be given explicitely, if necessary! This is why the title of the plot, in this case, must be given with quotes if it is a fixed string - see the tooltip message). Afterwards this Python code is evaluated to '', which will replace this whole code in the end.
After all these replacements, the template defined in line 36 will be replaced by the text hist( x=rnorm(10000), breaks="Sturges", main="Histogram of normal distrib" ), which will be presented to the user for pasting/running (as shown above for Plots a histogram).
This mechanism allows the quick defintion of complex wizards through an easy to understand XML file. Moreover, it is very flexible and powerful as we can use Python code to post-process the values given by user in order to generate complex fragments of R code. However, there are two potential security issues:

1. in order to unleash the full power of Python (an example of complex string processing is given by the plots_index_plot.xml wizard), the Python code defined within $[Python and $] is allowed access to the __builtins__, which means that malicious code can even delete all your files (see here a discussion: http://diveintopython3.org/advanced-iterators.html#eval)
2. even if the Python code within the template won't format your HDD and eat your cat, there is the possibility that the generated R code will do that.

Thus:
CHECK THE WIZARDS FOR NASTY PYTHON AND R CODE!
INSPECT THE GENERATED R CODE UNLESS YOU TRUST THE WIZARD!
Don't say you haven't been warned! If you don't have any wizards installed or you have checked those you have, then you should be safe.
And to close on an optimisitc note, you can write your own wizards!

## Profiles

Profiles are very flexible and powerful and have their own dedictaed help file (also accessible from rgedit's "Edit profiles" dialog) here.

## Notes and FAQ

These are several notes and questions on different aspects of Rgedit:

1. Quitting R in a console: it is possible to quit R in an R console in the usual way (i.e, q()) but note that the workspace is not automatically saved on exit nor is the system asking you for that (namely, the R sessions are spawned with --no-save --no-restore arguments). Upon quitting, a standard shell is available from with R can be relaunched (with R --no-save --no-restore) or any other command executed as you would do from a normal shell;
2. Closing R console tabs: there can be at most three R console tabs simultaneously open and only consoles 2 and 3 can be closed. To do this, quit R in the standard manner (see above) and simply type exit when in the shell. Typing exit in the first R console (after quitting R there) will have no effect (technically, it will respawn a shell after quitting the current one);
3. Defining, running and deleting source code blocks: blocks are contiguous sequences of source code starting at the begining of a given line and ending at the begining of another line. They are marked with symbols in the left margin and colored background. There can be only two blocks defined at any moment in a given source file, identified as block 1 and block 2. Block 1 is marked with symbols and and the background color is light blue (for an example, see the first screenshot), while block 2 is marked with symbols and and the background color is gold. Defining a block is very easy: just select the lines you want to be contained (not necessarily starting at the beging of the first and ending at end of the last line) and press the define block 1 or define block 2 toolitem or menu entries: if the block was already defined it will be simply replaced with the new one. Please, note that the last line of the block is actually the beginning of the last selected line plus one. Editing the text within a defined block will cause the block to automatically adjust;
4. Copy and paste in the R console: in an R console, <Ctrl+V> can be used to Paste but <Ctrl+C> can still used to stop the current R process, but it can also be allowed to copy the current selection; however, the right-click menu gives easy access to Copy and Paste actions;
5. Text coloring in R console: due to the fact that the interaction with R is done through the terminal (see note viii), the amount of coloring text is limited; however, the R promot can be colored using xterm escape sequences and this helps a lot in easily identifying commands entered as opposed to text produced by R. However, due to the way in which the prompt character length is computed by R's line editor, these escape sequences are considered by R as actual characters, resulting in corruptions of the current line (extra characters at the begining). If the advantage of having a colored prompt exceed the corruption of the current line during editing, then feel free to enable this option;
6. Icons and artwork in general: as you have probably noted, I am definitely not the most gifted artist in the Universe! Couple this with my tendency towards minimalism and you get the icons and design in Rgedit. However, .if you have better skills and ideas, please consider contributing to the project on SourceForge.
7. GTK+ and Python programming: also, please note that even if I do have a lot of (especially C/C++) programming experience, this is my first ever project using GTK+ and Pyhton (more exactly, PyGTK), so please be forgiving about less than optimal (to be nice) programming decisions. Again, if you feel you can improve bits an pieces please consider contributing to the project on SourceForge;
8. Why communicate with R through the console as opposed to embedding the shared library? This is a legitimate question, given that the embedding of R's shared library is the recommended strategy for building R GUIs and a number of R IDEs (including rkward) do it this way? Well, this decision has both pros and cons (as usual). The cons are obvious and include limited interaction with R (e.g., Rgedit cannot browse, display and edit in a nice way the defined objects in the current workspace) but the pros include a lighter and faster IDE which does not require any compiling nor does it bring R down because of its own bugs (no criticism of other IDEs intended!). Plus, it's much easier to write and maintain. If you think otherwise, please let me know your reasons and suggestions and either contribute to this project, start a new one or use one of the other IDEs/editors listed here;
9. To whom is Rgedit best addressed? I designed Rgedit with the proficient/professional R user in mind, a user which does not need a menu-driven interface to data analysis but is comfortable with the script itself, the R extensive help and R's website search facilities. Such a user supposedly would need a way to edit their extensive and complex R scripts and a good editor like gedit would obviously help. They would also need a way to pipe sections of this script into R and see what happens. Eventually, using relimp's very good showData() function to see how a data.frame looks and very rarely fix() to edit it would be more than enough. For beginners and casual users I would certainly recommend rkward, JGR or R Commander instead!

## Acknowledgements

This project would not have been possible without the R project in the first place, and the ideas I've got from its pre-existing IDEs, mainly rkward, Tinn-R and JGR - congratulations for a very good job! Secondly, I have been helped a lot by various examples, tutorials and dicussions concerning GTK+, pygtk and python, too many to be included here, but very important ones are http://www.pygtk.org/, http://library.gnome.org/devel/references, http://live.gnome.org/Gedit/PythonPluginHowTo, http://www.python.org/ and Paolo Borelli's old VTE terminal for gedit python code (included in gedit-plugins 2.6.23). The wizards idea has been initially discussed with Aleksandar Blagotić and some have been inspired by Rcommander and the standard Windows R GUI.
I hope you will enjoy using ,
best wishes,
Dan Dediu
December 2012,
Ede, The Netherlands