R (programming language)

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. [6] The R language is widely used among statisticians and data miners for developing statistical software [7] and data analysis . [8] Polls, data mining surveys and studies of scholarly literature databases, show substantial increases in popularity in recent years. [9] As of August 2018, R ranks 18th in the TIOBE index , a measure of popularity of programming languages. [10]

Page Revisions

Year Metadata Sections Top Words First Paragraph
2018

211466 characters

19 sections

46 paragraphs

11 images

341 internal links

145 external links

1. History

2. Statistical features

3. Programming features

4. Packages

5. Milestones

6. Interfaces

7. Implementations

8. R communities

9. useR! conferences

10. R Journal

11. Comparison with SAS, SPSS, and Stata

12. Commercial support for R

13. Examples

14. See also

15. References

16. External links

statistical 0.373

cran 0.270

packages 0.182

analytics 0.181

revolution 0.181

sas 0.145

spotfire 0.135

oracle 0.123

azure 0.090

bioconductor 0.090

chambers 0.090

fda 0.090

forge 0.090

hadoop 0.090

pqr 0.090

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. [6] The R language is widely used among statisticians and data miners for developing statistical software [7] and data analysis . [8] Polls, data mining surveys and studies of scholarly literature databases, show substantial increases in popularity in recent years. [9] As of August 2018, R ranks 18th in the TIOBE index , a measure of popularity of programming languages. [10]

2017

195260 characters

18 sections

44 paragraphs

12 images

339 internal links

123 external links

1. History

2. Statistical features

3. Programming features

4. Packages

5. Milestones

6. Interfaces

7. Implementations

8. useR! conferences

9. R Journal

10. Comparison with SAS, SPSS, and Stata

11. Commercial support for R

12. Examples

13. See also

14. References

15. External links

statistical 0.388

cran 0.281

analytics 0.188

revolution 0.188

sas 0.188

packages 0.178

spotfire 0.140

oracle 0.128

spss 0.113

bioconductor 0.094

chambers 0.094

forge 0.094

hadoop 0.094

miners 0.094

pqr 0.094

R is a free (libre) programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. [6] The R language is widely used among statisticians and data miners for developing statistical software [7] and data analysis . [8] Polls, surveys of data miners , and studies of scholarly literature databases show that R's popularity has increased substantially in recent years. [9]

2016

194393 characters

20 sections

40 paragraphs

11 images

342 internal links

138 external links

1. History

2. Statistical features

3. Programming features

4. Packages

5. Milestones

6. Interfaces

7. useR! conferences

8. R Journal

9. Comparison with SAS, SPSS, and Stata

10. Commercial support for R

11. Examples

12. See also

13. References

14. External links

statistical 0.457

cran 0.283

revolution 0.228

packages 0.203

analytics 0.152

sas 0.152

validate 0.142

oracle 0.129

bioconductor 0.094

chambers 0.094

forge 0.094

hadoop 0.094

knitr 0.094

miners 0.094

spotfire 0.094

R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. [5] The R language is widely used among statisticians and data miners for developing statistical software [6] and data analysis . [7] Polls, surveys of data miners , and studies of scholarly literature databases show that R's popularity has increased substantially in recent years. [8]

2015

165211 characters

18 sections

35 paragraphs

11 images

329 internal links

111 external links

1. Statistical features

2. Programming features of R

3. Examples

4. Packages

5. Milestones

6. Interfaces

7. useR! conferences

8. Comparison with SAS, SPSS and Stata

9. Commercial support for R

10. See also

11. References

12. External links

statistical 0.405

cran 0.267

revolution 0.215

packages 0.191

analytics 0.172

sas 0.172

oracle 0.146

bioconductor 0.107

chambers 0.107

forge 0.107

hadoop 0.107

knitr 0.107

miners 0.107

spotfire 0.107

sweave 0.107

R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. [3] The R language is widely used among statisticians and data miners for developing statistical software [4] and data analysis . [5] Polls, surveys of data miners , and studies of scholarly literature databases show that R's popularity has increased substantially in recent years. [6]

2014

151513 characters

18 sections

34 paragraphs

10 images

322 internal links

87 external links

1. Statistical features

2. Programming features

3. Examples

4. Packages

5. Milestones

6. Interfaces

7. useR! conferences

8. Comparison with SAS, SPSS and Stata

9. Commercial support for R

10. See also

11. References

12. External links

statistical 0.385

cran 0.279

packages 0.213

revolution 0.180

oracle 0.153

analytics 0.135

sas 0.135

bioconductor 0.112

chambers 0.112

forge 0.112

hadoop 0.112

knitr 0.112

latex 0.112

miners 0.112

spotfire 0.112

R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software [2] [3] and data analysis. [3] Polls and surveys of data miners are showing R's popularity has increased substantially in recent years. [4] [5] [6]

2013

145512 characters

19 sections

37 paragraphs

11 images

329 internal links

81 external links

1. Statistical features

2. Programming features

3. Examples

4. Packages

5. Milestones

6. Interfaces

7. useR! conferences

8. Comparison with SAS, SPSS and Stata

9. Commercial support for R

10. See also

11. References

12. External links

statistical 0.425

packages 0.226

cran 0.224

oracle 0.153

revolution 0.135

sas 0.135

bioconductor 0.112

chambers 0.112

latex 0.112

miners 0.112

rstudio 0.112

statistics 0.102

analysis 0.101

package 0.093

matlab 0.092

R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software [2] [3] and data analysis. [3] Polls and surveys of data miners are showing R's popularity has increased substantially in recent years. [4] [5] [6]

2012

127821 characters

18 sections

35 paragraphs

16 images

329 internal links

71 external links

1. Statistical features

2. Programming features

3. Examples

4. Packages

5. Milestones

6. Interfaces

7. useR! conferences

8. Comparison with SAS, SPSS and Stata

9. Commercial support for R

10. See also

11. References

12. External links

statistical 0.358

packages 0.233

cran 0.230

sas 0.185

oracle 0.158

revolution 0.139

bioconductor 0.115

chambers 0.115

gentleman 0.115

ihaka 0.115

latex 0.115

miners 0.115

ross 0.115

rstudio 0.115

enterprise 0.105

R is an open source programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software [2] [3] and data analysis. [3] Polls and surveys of data miners are showing R's popularity has increased substantially in recent years. [4] [5] [6]

2011

112754 characters

17 sections

33 paragraphs

9 images

310 internal links

60 external links

1. Statistical features

2. Programming features

3. Examples

4. Packages

5. Milestones

6. Interfaces

7. useR! conferences

8. Comparison with SAS, SPSS and Stata

9. Commercial support for R

10. See also

11. References

12. External links

statistical 0.421

cran 0.244

packages 0.218

sas 0.196

revolution 0.147

bioconductor 0.122

chambers 0.122

gentleman 0.122

ihaka 0.122

latex 0.122

ross 0.122

statistics 0.111

analysis 0.110

spatial 0.098

spss 0.098

R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians for developing statistical software, [2] [3] and R is widely used for statistical software development and data analysis. [3]

2010

89845 characters

15 sections

26 paragraphs

7 images

288 internal links

43 external links

1. Statistical features

2. Programming features

3. Examples

4. Packages

5. Milestones

6. Tools

7. Relationship with SAS

8. See also

9. References

10. External links

statistical 0.447

sas 0.284

cran 0.235

latex 0.235

mining 0.189

sweave 0.176

packages 0.168

analysis 0.142

chambers 0.118

gentleman 0.118

ihaka 0.118

ross 0.118

statistics 0.108

matrices 0.097

spatial 0.095

R is a programming language and software environment for statistical computing and graphics. The R language has become a de facto standard among statisticians for the development of statistical software, [2] [3] and is widely used for statistical software development and data analysis. [3]

2009

74897 characters

12 sections

16 paragraphs

7 images

270 internal links

38 external links

1. Features

2. Examples

3. Packages

4. Milestones

5. Productivity tools

6. See also

7. External links and Resources

8. Commercialized versions of R

9. References

statistical 0.468

latex 0.301

cran 0.226

sweave 0.226

packages 0.179

gentleman 0.151

ihaka 0.151

ross 0.151

mining 0.121

statisticians 0.121

analysis 0.113

graphical 0.105

robert 0.092

statistics 0.092

scoping 0.082

In computing, R is a programming language and software environment for statistical computing and graphics. It is an implementation of the S programming language with lexical scoping semantics inspired by Scheme . R was created by Ross Ihaka and Robert Gentleman [2] at the University of Auckland , New Zealand , and is now developed by the R Development Core Team . It is named partly after the first names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly as a play on the name of S . [3]

2008

78306 characters

13 sections

18 paragraphs

5 images

243 internal links

64 external links

1. Features

2. Packages

3. Development

4. Productivity tools

5. Finding information about R

6. See also

7. References

8. Resources

9. External links

statistical 0.470

cran 0.378

gentleman 0.151

ihaka 0.151

latex 0.151

ross 0.151

packages 0.126

statisticians 0.122

analysis 0.114

graphical 0.105

comprehensive 0.103

submitted 0.103

articles 0.092

robert 0.092

statistics 0.092

The R programming language , sometimes described as GNU S , is a programming language and software environment for statistical computing and graphics. It was originally created by Ross Ihaka and Robert Gentleman at the University of Auckland , New Zealand , and is now developed by the R Development Core Team . R is considered by its developers to be an implementation of the S programming language with lexical scoping semantics inspired by Scheme . According to section 2.12 of the R FAQ [1] , "The name is partly based on the (first) names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs language 'S'". The S language has become a de facto standard among statisticians for the development of statistical software. [2] [ unreliable source? ]

2007

49944 characters

12 sections

14 paragraphs

4 images

118 internal links

39 external links

1. Features

2. Critiques

3. Packages

4. Development

5. Productivity tools

6. CRAN

7. R newsletter

8. See also

9. References

10. Resources

11. External links

statistical 0.564

cran 0.272

packages 0.194

statisticians 0.146

submitted 0.123

http 0.111

benchmark 0.111

analysis 0.109

graphical 0.101

facto 0.099

loading 0.099

archive 0.099

org 0.099

partly 0.099

affymetrix 0.091

The R programming language , sometimes described as GNU S , is a programming language and software environment for statistical computing and graphics. It was originally created by Ross Ihaka and Robert Gentleman at the University of Auckland , New Zealand , and is now developed by the R Development Core Team . R is considered by its developers to be an implementation of the S programming language , with semantics derived from Scheme . The name R comes partly from the first name of the two original authors, and partly as a word play on the name 'S'. [1] The S language has become a de-facto standard among statisticians for the development of statistical software. [2]

2006

28907 characters

9 sections

13 paragraphs

4 images

77 internal links

29 external links

1. Features

2. Packages

3. Development

4. Productivity tools

5. CRAN

6. R newsletter

7. See also

8. References

9. External links

statistical 0.562

cran 0.305

statisticians 0.164

packages 0.145

submitted 0.138

analysis 0.122

graphical 0.113

archive 0.111

affymetrix 0.102

auckland 0.102

austria 0.102

bioconductor 0.102

cdna 0.102

eased 0.102

genomic 0.102

The R programming language , sometimes described as GNU S , is a programming language and software environment for statistical computing and graphics. It was originally created by Ross Ihaka and Robert Gentleman (hence the name R) at the University of Auckland , New Zealand , and is now developed by the R core team . R is considered by its developers to be an implementation of the S programming language , with semantics derived from Scheme .

2005

10986 characters

3 sections

6 paragraphs

1 images

40 internal links

21 external links

1. Comparison with other programs

2. See also

3. External links

laboratories 0.293

analysis 0.220

macintosh 0.202

statistics 0.179

affymetrix 0.146

auckland 0.146

bioconductor 0.146

cdna 0.146

chambers 0.146

cran 0.146

genomic 0.146

gentleman 0.146

ihaka 0.146

kate 0.146

microarray 0.146

The R programming language , sometimes described as " GNU S ", is a mathematical language and environment used for statistical analysis and display. It was originally created by Ross Ihaka and Robert Gentleman (hence the name R) at the University of Auckland , New Zealand , and is now steadily developed further by a large community around the world.

2004

5577 characters

2 sections

5 paragraphs

1 images

13 internal links

7 external links

1. Comparison with other programs

2. References and External links

chambers 0.342

laboratories 0.342

calculation 0.275

toolbox 0.275

bell 0.236

macintosh 0.236

statistical 0.236

gpl 0.209

statistics 0.209

described 0.206

gnu 0.206

matlab 0.187

matrix 0.170

people 0.142

mathematical 0.142

The R programming language , sometimes described as " GNU S ", is a mathematical language and environment used for statistical analysis and display.

2003

2693 characters

1 sections

4 paragraphs

0 images

11 internal links

4 external links

1. External links

wikipedia 0.348

chambers 0.348

fixing 0.348

laboratories 0.348

bell 0.240

macintosh 0.240

statistical 0.240

gpl 0.212

described 0.210

gnu 0.210

mathematical 0.144

scheme 0.144

freely 0.144

paper 0.144

john 0.144

The R programming language , sometimes described as " GNU S", is a mathematical language and environment used for statistical analysis and display.