R

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Rlogo.jpg


R 3.0.2 (2013/09/09)

RAqua-scrshot1.jpg

Developed by: R Foundation and community
License: GPL / GNU General Public License
Web page : Tool homepage
Tool type :

Tool.png

The last edition of this page was on: 2014/02/27

The Completion level of this page is : Low


SHORT DESCRIPTION

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

R is available as Free Software for data manipulation, calculation and graphical display. It includes

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either on-screen or on hardcopy, and
  • a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

R can be considered as an environment within which statistical techniques are implemented. R can be extended via packages. For example, try:


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is somewhat difficult to use.

Tool orientation

This tool is designed for general purpose analysis.

Data mining type

This tool is made for '.

Manipulation type

This tool is designed for Data transformation, Data analysis, Data visualisation.

IMPORT FORMAT :

EXPORT FORMAT :


Tool objective(s) in the field of Learning Sciences

Analysis & Visualisation of data
Predicting student performance
Student modelling
Social Network Analysis (SNA)
Constructing courseware

Providing feedback for supporting instructors:
Recommendations for students
Grouping students:
Developing concept maps:
Planning/scheduling/monitoring
Experimentation/observation

Tool can perform:

  • Data extraction of type:
  • Transformation of type: Simple data transformation operations, Mathematical transformation of data for analysis
  • Data analysis of type: Basic statistics and data summarization, Data mining methods and algorithms
  • Data visualisation of type: Sequential Graphic, Chart/Diagram (These visualisations can be updated in "real time" )



ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others

Required skills:

STATISTICS: Advanced

PROGRAMMING: Basic

SYSTEM ADMINISTRATION: None

DATA MINING MODELS: Advanced



FREE TEXT


Tool version : R 3.0.2 2013/09/09
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Developed by : R Foundation and community
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Tool Web page : http://www.r-project.org/
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Tool type :
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License:GPL / GNU General Public License

RAqua-scrshot1.jpg

1 SHORT DESCRIPTION


R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

R is available as Free Software for data manipulation, calculation and graphical display. It includes

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either on-screen or on hardcopy, and
  • a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

R can be considered as an environment within which statistical techniques are implemented. R can be extended via packages. For example, try:

2 TOOL CHARACTERISTICS


Tool orientation Data mining type Usability
This tool is designed for general purpose analysis. This tool is designed for . Authors of this page consider that this tool is somewhat difficult to use.
Data import format Data export format
. .
Tool objective(s) in the field of Learning Sciences

☐ Analysis & Visualisation of data
☐ Predicting student performance
☐ Student modelling
☐ Social Network Analysis (SNA)
☐ Constructing courseware

☐ Providing feedback for supporting instructors:
☐ Recommendations for students
☐ Grouping students:
☐ Developing concept maps:
☐ Planning/scheduling/monitoring
Experimentation/observation

Can perform data extraction of type:


Can perform data transformation of type:
Simple data transformation operations, Mathematical transformation of data for analysis


Can perform data analysis of type:
Basic statistics and data summarization, Data mining methods and algorithms


Can perform data visualisation of type:
Sequential Graphic, Chart/Diagram (These visualisations can be updated in "real time" )


3 ABOUT USER


Tool is suitable for:
Students/Learners/Consumers:☐ Teachers/Tutors/Managers:☐ Researchers:☐ Organisations/Institutions/Firms:☐ Others:☐
Required skills:
Statistics: ADVANCED Programming: BASIC System administration: NONE Data mining models: ADVANCED

4 OTHER TOOL INFORMATION


RAqua-scrshot1.jpg
RAqua-scrshot1.jpg
Rlogo.jpg
R
GPL / GNU General Public License
Free&Open source
R Foundation and community
2013/09/09
3.0.2
http://www.r-project.org/
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

R is available as Free Software for data manipulation, calculation and graphical display. It includes

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either on-screen or on hardcopy, and
  • a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

R can be considered as an environment within which statistical techniques are implemented. R can be extended via packages. For example, try:

General analysis
Advanced
Basic
None
Advanced
Data transformation, Data analysis, Data visualisation
Basic statistics and data summarization, Data mining methods and algorithms
Simple data transformation operations, Mathematical transformation of data for analysis
Sequential Graphic, Chart/Diagram
somewhat difficult to use
Low
Facts about "R"
Analysis orientationGeneral analysis +
Analysis typeBasic statistics and data summarization + and Data mining methods and algorithms +
Data manipulation typeData transformation +, Data analysis + and Data visualisation +
Data transformation capabilitiesSimple data transformation operations + and Mathematical transformation of data for analysis +
Free software licenseGPL / GNU General Public License +
Has completion levelLow +
Has descriptionR is a language and environment for statis
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

R is available as Free Software for data manipulation, calculation and graphical display. It includes

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either on-screen or on hardcopy, and
  • a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

R can be considered as an environment within which statistical techniques are implemented. R can be extended via packages. For example, try:

AN Task View: Natural Language Processing] +
Has interface usabilitysomewhat difficult to use +
Has last revision number3.0.2 +
Has logoRlogo.jpg +
Has nameR +
Has screenshotRAqua-scrshot1.jpg +
Has websitehttp://www.r-project.org/ +
Is developed byR Foundation and community +
Last editionFebruary 27, 2014 +
License typeFree&Open source +
User data mining models levelAdvanced +
User programming levelBasic +
User statistics levelAdvanced +
User system engineering levelNone +
Visualisation typeSequential Graphic + and Chart/Diagram +
Was last released onSeptember 9, 2013 +