- Highlighters settings
- Pandoc support
- Basic latex support
- Project manager
- Search in files
- Editor options
The Tinn-R is an editor/word processor ASCII/UNICODE generic for the Windows operating system, very well integrated into the R, with characteristics of Graphical User Interface (GUI) and Integrated Development Environment (IDE).
The purpose of Tinn-R project is to facilitate the learning and use of all the potentiality of R environment for statistical computing.
For novice users use will greatly accelerate the learning of R.
For experienced users, provides advanced editing features (R, Noweb, LaTeX, Txt2tags), processing, format conversion (Noweb, LaTeX, Txt2tags, Pandoc) and compiling LaTeX documents, among other formats. The productivity of all the work involving text files (scripts, documentation, etc) can be considerably increased with the efficient use of Tinn-R resources.
In a nutshell, a tool case for editing and word processing: easy to use for a novice and a very flexible and versatile for experienced/advanced users. Some R users may prefer other editors/GUIs which are more powerful and with more features such as: Vim + Vim-R-plugin and Emacs + ESS, the two most widely used. However for both, learning is much more difficult.
4. Key features
- Advanced colouring of several languages' syntax
- Supports macros
- Completion (based on XML database, customizable and expandable)
- Content Management
- Interface for project management
5. A little history
The project began in mid/2003, six months after the current project coordinator (CPC) start working with the environment R. In August/2003 he had decided to adopt R as the main tool in the teaching of statistics (his main activity) and also statistical data analysis (second main activity).
The initial objectives of the project with respect to R were three:
- Developing an Editor/GUI simple and flexible under the Windows operational system
- Providing facilities for students in undergraduate and graduate statistics courses
- Facilitate the workof the CPC regarding data analysis using R
After the CPC have tested almost all GUIs then available:
as well as other popular editors offering resources to interact with R:
he realized that he did not adapt well to neither the GUIs nor the editors tested. Furthermore, he worried about the difficulties related to teaching (installation, configuration and usage) in the laboratories of statistical computing.
Among these, the Emacs + ESS was the best known, recommended and used by experienced users, however, with difficult configuration and usage for the novice user (main public teaching on the R statistical computing) or casual. Additionally, the interface was not pleasant to users accustomed to the rich Windows graphical interfaces. Moreover, some projects were still fledgling, while others had problems of continuity.
The CPC imagined that an editor could be customized by adding features that the GUI needs. Since he had already been an old programmer in Object Pascal, it would be interesting to start from an open source editor written in this language, and adapt it to his needs.
After searching the internet and preliminary tests, six editors developed under the Delphi IDE then Borland (now Embarcadero) were selected.
The second stage consisted of testing performance and stability. Finally, two projects were selected:
- Tinn, in English, discontinued in 2005
- Notes, in Portuguese, also discontinued in 2005
Both had the basic features needed. Among them, the Tinn (Tinn Is Not Notepad) showed greater structural simplicity, better performance and greater stability, which led to his final selection.
Although the basic features of a generic and simple editor had already been implemented by the developers, there was still much to be done in relation to the editor and future GUI. The small group of Tinn developers was reported (although this is not a requirement of the software under the General Public License - GPL) of the CPC´s intention to have new features implemented. They worked together in the source code of the editor Tinn for about five to six months until realizing, given the new requirements, that would not be possible to keep it generic, according to the original design of the project Tinn. Then, in November/2003 a new project started: Tinn-R.
In December/2003 the basic features allowing communication with the R environment had already been implemented and the program used by the CPC for his analyzes. It would also be used in the classroom of a statistics graduate studies at the UESC/PPGPV (still in preparation, and scheduled for March/2004).
In January/2004 a copy of the software was forwarded to the coordinator for GUI projects of CRAN (The Comprehensive R Archive Network), Dr. Philippe Grosjean. The project received high praise and a number of suggestions, most were (largely) implemented in the short term. Others, due to complexity, took the long term.
At a later stage, Tinn-R was made available to R users in SciViews-R home page, maintained by Philippe. The project name (Tinn-R) was one of the suggestions made by Philippe. The version 0.0.8.8 R1.04 (Jan/2004) was the first one to be released. The authors were then José Cláudio Faria and Mark de Groot. Mark was one of the remaining members of the original Tinn team project, Philippe was then collaborator. This was the first published version of the project.
Subsequently, given the effective collaboration in defining the characteristics of the project, and the development of the R functions that allow better integration between the two programs (Tinn-R and R), Philippe was invited to be co-author of the project. Mark de Groot, an excellent programmer in Object Pascal, since having no affinities with statistics, began to move away from the project, becoming a sporadic contributor and since 2006 no longer contributed to the project.
Registered under the General Public License GPL, the project gained many supporters and countless suggestions began to be sent by new users. The project's success is attributed to the experience of Philippe in GUI development for R, to his suggestions (always requesting more resources than the CPC was willing to implement), as well as the users' (the same), which effectively determined the direction of its development.
The project began to be used as editor of Editor/GUI, simple, yet efficient, in educational and research institutions related to statistics and R. Over the years we sought, within the time available for this activity, answer, in the best possible way, the demand and feedback from users, which may be your great advantage: a program designed by users for users.
In late 2006, Enio G. Jelihovschi joined the project, becoming responsible for its documentation.
In 2008, the post-doctoral of CPC (ESALQ/USP, under the supervision of the prof. Clarice G. B. Demétrio) with a scholarship from CNPq had the title: TINN-R - GUI/EDITOR FOR R OPEN SOURCE ENVIRONMENT FOR STATISTICAL COMPUTING, had two main objectives:
- Improvement and consolidation of program under the Windows operational system
- Use, independent of the operational system (multiplatform)
The first objective was met in full. As for the second, studies of the main alternatives (using the multiplatform Lazarus and migration to the platform .Net under MONO) were developed. After contacting teams of developers of those tools and environments, and also preliminary testing, we finally reach the conclusion that, in both cases, it would be an overwhelming task and the final results unreliable.
The Embarcadero, after the acquisition of the compilers from Borland, has made serious efforts to enable the compilation of code in Object Pascal/Delphi available in other platforms, beyond Windows. Thus, it is envisaged in the medium and long term, the possibility of porting the Tinn-R project for Linux and Mac.
- José Cláudio Faria - Brazil/UESC/DCET (Coordinator, development and programming in Object Pascal)
- Philippe Grosjean - Belgium/UMH/EcoNum (R programming, experience in developing GUIs for R, excellent ideas and suggestions, guidance and project documentation in the English language). In fact, much of the project's success is due to good suggestions - over the years - from Phil: Thank you! (Some were very difficult to implement.)
- Enio Galinkin Jelihovschi - Brasil/UESC/DCET (Documentation in English language)
- Ricardo Pietrobon (Reviser of the documentation in English language)
8. User list (discussion group)
- You can report bug, ask questions, make suggestions and discuss ideas about the Tinn-R Editor such as how to accomplish a specific task, how to change the behavior, and why a specific feature is missing.
- Google groups (new)
- SourceForge (old)
9. What is new?
9.1. 188.8.131.52 (Feb/28/2014)
The conversion options using
Txt2tagsdepends of the file extension. For
.dp, .dpt, .dplt, .deplate and .txt. For
.t2, .t2t, .txt2tags. and .txt.
9.2. 184.108.40.206 (Feb/10/2014)
Highlighters settings window was deeply reworked.
Print preview window was reworked.
9.3. 220.127.116.11 (Feb/08/2014)
R highlighter: expressions like the below. Thanks to
Arnoldfor pointing it out.
gsub("/", "\\\\", text)
Comment/Uncomment: the automatic detection of the language and chunks (regions) for multiple (or complex) languages (like:
PHP complex, etc).
Uncomment allprocedures were improved.
9.4. 18.104.22.168 (Feb/05/2014)
Parts of the source code were enhanced.
The control over the previous focus related to various options (Options, Help, View, etc.) has been improved.
The IPC (Inter Process Communication) communicating Rterm and Tinn-R was re-optimised. Now it its approximately 4x faster than the prior version.
The User guide has been revised and improved.
9.5. 22.214.171.124 (Jan/30/2014)
Advanced options of the editor:
Options/Application/Editor/Advanced/Want tabs. Now when tabbing (if there is a selection) <TAB> and <SHIFT><TAB> act really as block indent, unindent. It works only inside of the more important instances of SynEdit class:
Rterm/IO<TAB> has another function: to complete.
Some options of the interface
Options/Application/Editor/Advancedare now more understandable. Thanks to
Berry Boessenkoolfor the suggestions!
Helphas a new option:
What is new?
9.6. 126.96.36.199 (Jan/29/2014)
The installer of version 188.8.131.52 related to the file
data.zip. The file
data.zipwas corrupted. The installer of version 184.108.40.206 has been deleted from all servers and we advise users to not redistribute this version. Thanks to
Mark A.for pointing it out!
The STOP button is working again for
Rgui.exe(but is not active for
9.7. 220.127.116.11 (Jan/28/2014)
Pop-up menu of:
Parts of the source code were enhanced.
The IPC (Inter Process Communication) communicating Rterm and Tinn-R was optimised. Now it its approximately 8x faster and also more accurate. This really was an old dream!
The User guide has been revised.
Tools/Processing/Compilation (Latex)has a new option: Make index (makeindex). The default shortcut is CTRL + ALT + I.
Rtermsupport to the function debug and the package debug was a bit enhanced. The necessary instruction (below) is automatically sent to the R interpreter from this version.
options(debug.catfile = 'stdout')
- Source code:
- Updated version (eISBN: 978-85-7455-342-9):
- Outdated version:
- GitHub (source code)
13. Feedback from users
I am a very happy and satisfied user of Tinn-R. (Raphael Seitz - Technical University Berlin - Germany - Author of the nice picture above)
I work with R since years and tried many editors. Many of them has good features as well, even ones that are not in TinnR up til now (code folding) but this one is the best of all, very handy, easy to use even for beginners, usable from USB just with 2 corrections in preferences. Excelent work. Many thanks to José Cláudio Faria and Philippe Grosjean. (Udo Junghans)
Tinn-R has greatly simplified and accelerated my development of R script since I began using it about one year ago. Tinn-R is an impressive open source tool. Calling it, a GUI code editor is a bit of an understatement. In several ways, when used in conjunction with R, you have a highly capable environment that begins to approach the features and functionality of an Integrated Development Environment (IDE). Also impressive is the level of commitment and support this tool receives. (Dan Hunt)
An exceptionally powerful tool for leveraging R's strength's. It is clear from use over the last year that the development team is serious and capable - that makes this a robust addition to one's toolkit. (Boramark)
Excellent useful program. Works excellently with R - much better for me that using the native windows Rgui. Allow you have multiple script files open simultaneously. Code is nicely formatted. (Tom)
A brilliant way of making analysis using R pleasurable. Fast response and excellent integration. (Brian K. Boonstra)
For me this is essential if you're going to use the free program R software. (JJ)
Very good project, thanks a ton for giving out. (Elijah Snider)
Very very good. Using for a long time. (Mervyn Sousa)
AWESOME software and free... EXCELLENT. (Jerald Petersen)
Thanks a lot everywhere! (Roderick Crockett)
Works great. Thanks to the developers of this app. (Anna)
This works great. Thanks guys! (Lydia Harpe)
Fast and simple. (Max Shawn)
I like this editor so much :) (Clay Greenham)
Great tool. Like it. (Derek Finn)
The best program that I've ever used. (Adolphus Keefe)
- Map showing all countries and respective downloads of Tinn-R
- Feedback from users
- Universities, Labs and Research centers around the world using Tinn-R:
- Allaska Southeast, Arkansas, Arts & Sciences, Auburn
- Canterbury, Cedar Crest, Colorado State, CNS
- Harvard, Hutchison Hall Computer Labs
- Idaho, ICTS, Indiana
- Lancaster, Lethbridge
- Melbourn, McMaster, Minessota
- Nebraska-Lincoln, North Texas
- Ohio State, Oregon State
- Pittsburgh, Portland, Porto
- Santa Barbara, Sheffield
- Toronto, TU Graz
- UNC, USP
- Westfield, Wisconsin
- Many universities have only PDF reports and manuals for downloading and so, we did not find it suitable to list the links here.
- Tinn-R mentioned/cited in some books about R:
- A Beginner's Guide to R
- Quantitative Corpus Linguistics with R: A Practical Introduction
- Data Analysis and Graphics Using R: An Example-Based Approach
- R for SAS and SPSS Users
- Hands-on Matrix Algebra Using R: Active and Motivated Learning with Applications
- A Practical Guide to Ecological Modelling: Using R as a Simulation Platform
- R For Dummies
- Modern Regression Techniques Using R: A Practical Guide
- Doing Bayesian Data Analysis: A Tutorial Introduction with R
- Spatial Data Analysis in Ecology and Agriculture Using R
- Statistics and Data Analysis for Microarrays Using R and Bioconductor
- Introduction to Scientific Programming and Simulation Using R
- R for Business Analytics
- Statistics in Psychology Using R and SPSS
- An R Companion to Linear Statistical Models
- Practical Tools for Designing and Weighting Survey Samples
- Introducing Survival and Event History Analysis
- R and Data Mining: Examples and Case Studies
- Bayesian Population Analysis Using WinBUGS: A Hierarchical Perspective
- Getting Started with RStudio
- Ecological Models and Data in R
- The R Book
- Analysis of Phylogenetics and Evolution with R
- Introductory Statistics with R
- Statistics for Linguistics with R: A Practical Introduction
- Dynamic Documents with R and knitr
- Probability and statistics with R
- Introduction to Probability and Statistics Using R
- Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses
- Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment
- R Data Analysis Without Programming
- How to be a Quantitative Ecologist: The 'A to R' of Green Mathematics and Statistics
- Wiley-Blackwell Encyclopedia of Human Evolution, 2 Volume Set
- Learning R
- Analysis of Categorical Data with R
- Modern Optimization with R
- Tinn-R in some (selected) web pages:
- Links toTinn-R tutorials (soon)!