R Development Page
Contributed R Packages
Below is a list of all packages provided by project RQDA: CAQDA with R.
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).
RQDA | R-based Qualitative Data Analysis
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R package for Qualitative Data Analysis. Current version only supports plain text, but it can import PDF highlights if the Enhance package of rjpod, which is available on R-Forge, is installed. |
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Version: 0.2-8 |
Last change: 2014-11-04 06:37:23+01 |
Rev.: 521 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RQDA 0.3-1 from CRAN |
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R install command:
install.packages("RQDA", repos="http://R-Forge.R-project.org") |
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RQDAtm | A package to bridge RQDA and tm
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This package provides functions bridging RQDA and tm. |
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Version: 0.1-0 |
Last change: 2012-06-24 13:32:14+02 |
Rev.: 458 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("RQDAtm", repos="http://R-Forge.R-project.org") |
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rjpod | PDF ultilities based on the jPod Java library
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This package uses jPod Java library to manipulate PDF. |
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Version: 0.2-1 |
Last change: 2013-01-25 09:42:59+01 |
Rev.: 495 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("rjpod", repos="http://R-Forge.R-project.org") |
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rmmseg4j | R interface to the Java Chinese word segmentation system of mmseg4j
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This package uses mmseg4j to provide a function to segment a Chinese sentence into words which are separated by space. The returned value can be processed by tm package directly. |
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Version: 0.2-1 |
Last change: 2012-12-06 08:46:38+01 |
Rev.: 482 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("rmmseg4j", repos="http://R-Forge.R-project.org") |
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rpaoding | R interface to the Java Chinese word segmentation system of paoding
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This package provides a function to segment a Chinese sentence into words which are seperated by space.It is mainly an interface to paoding. |
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Version: 0.1-0 |
Last change: 2012-07-31 10:55:21+02 |
Rev.: 460 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("rpaoding", repos="http://R-Forge.R-project.org") |
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rpdfclown | PDF ultilities based on the PDF Clown Java library
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This package uses PDF Clown Java library to extract highlighted or underlined text from a PDF file. |
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Version: 0.2-1 |
Last change: 2012-12-07 17:21:51+01 |
Rev.: 485 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("rpdfclown", repos="http://R-Forge.R-project.org") |
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rsmartcn | R interface to the Java Chinese word segmentation system of smartcn
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This package provides a function to segment a Chinese sentence into words which are seperated by space.It is mainly an interface to smartcn. |
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Version: 0.1-0 |
Last change: 2012-07-31 10:55:21+02 |
Rev.: 460 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("rsmartcn", repos="http://R-Forge.R-project.org") |
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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).
If your package is not shown on this page or not building, then check the build system status report.