SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project R.TeMiS.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

RcmdrPlugin.temis

Graphical Integrated Text Mining Solution

  An R Commander plug-in providing an integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, vocabulary tables, terms co-occurrences and documents similarity measures, time series analysis, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, Twitter queries, as well as from Dow Jones Factiva, LexisNexis, Europresse and Alceste files.
  Version: 0.7.8 | Last change: 2016-11-04 18:23:06+01 | Rev.: 604
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get RcmdrPlugin.temis 0.7.9 from CRAN
  R install command: install.packages("RcmdrPlugin.temis", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


SnowballC

Snowball stemmers based on the C libstemmer UTF-8 library

  An R interface to the C libstemmer library that implements Porters word stemming algorithm for collapsing words to a common root to aid comparison of vocabulary. Currently supported languages are Danish, Dutch, English, Finnish, French, German, Hungarian, Italian, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish and Turkish.
  Version: 0.5.1 | Last change: 2014-08-08 19:33:12+02 | Rev.: 558
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get SnowballC 0.7.1 from CRAN
  R install command: install.packages("SnowballC", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


Old Version: 0.5.1 | Last change: 2014-08-08 18:50:06
Old Version Download: linux(.tar.gz) | windows(.zip)

tm.plugin.alceste

Import Texts From Files in the Alceste Format Using the tm Text Mining Framework

  Provides a tm Source to create corpora from a corpus prepared in the format used by the Alceste application (i.e. a single text file with inline meta-data). It is able to import both text contents and meta-data (starred) variables.
  Version: 1.1 | Last change: 2015-03-27 13:31:16+01 | Rev.: 584
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get tm.plugin.alceste 1.1.1 from CRAN
  R install command: install.packages("tm.plugin.alceste", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


Old Version: 1.1 | Last change: 2015-03-27 13:03:09
Old Version Download: linux(.tar.gz) | windows(.zip)

tm.plugin.europresse

Import Articles from Europresse Using the tm Text Mining Framework

  Provides a tm Source to create corpora from articles exported from the Europresse content provider as HTML files. It is able to read both text content and meta-data information (including source, date, title, author and pages).
  Version: 1.4 | Last change: 2016-08-23 17:32:57+02 | Rev.: 603
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get tm.plugin.europresse 1.4 from CRAN
  R install command: install.packages("tm.plugin.europresse", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


tm.plugin.factiva

Import Articles from Factiva Using the tm Text Mining Framework

  Provides a tm Source to create corpora from articles exported from the Dow Jones Factiva content provider as XML or HTML files. It is able to read both text content and meta-data information (including source, date, title, author, subject, geographical coverage, company, industry, and various provider-specific fields).
  Version: 1.5 | Last change: 2015-03-27 13:31:16+01 | Rev.: 584
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get tm.plugin.factiva 1.8 from CRAN
  R install command: install.packages("tm.plugin.factiva", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


tm.plugin.lexisnexis

Import Articles from LexisNexis Using the tm Text Mining Framework

  Provides a tm Source to create corpora from articles exported from the LexisNexis content provider as HTML files. It is able to read both text content and meta-data information (including source, date, title, author and pages). Note that the file format is highly unstable: there is no warranty that this package will work for your corpus, and you may have to adjust the code to adapt it to your particular format.
  Version: 1.3 | Last change: 2016-07-05 10:26:37+02 | Rev.: 588
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get tm.plugin.lexisnexis 1.4.1 from CRAN
  R install command: install.packages("tm.plugin.lexisnexis", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).

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