Package: ImportExport
Type: Package
Title: Import and Export Data
Version: 1.1
Date: 2015-09-18
Author: Roger Pros, Isaac Subirana, Joan Vila.
Maintainer: Isaac Subirana <isubirana@imim.es>
Description: Import and export data from the most common statistical formats by using
R functions that guarantee the least loss of the data information, giving special
attention to the date variables and the labelled ones.
Depends: xlsx, gdata, Hmisc, chron, RODBC
Imports: haven, utils
Suggests: shiny, shinyBS, shinythemes, compareGroups, foreign
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2015-09-19 12:50:06 UTC; instalar
Repository: CRAN
Date/Publication: 2015-09-19 19:50:28
Package: ibmdbR
Version: 1.47.1
Title: IBM in-Database Analytics for R
Author: IBM Corporation
Maintainer: Michael Wurst <inza@de.ibm.com>
Depends: R (>= 2.15.1), methods, RODBC, Matrix, arules
Imports: MASS, rpart, rpart.plot, ggplot2
Description: Functionality required to efficiently use R with
IBM DB2(C) for Linux, Unix and Windows as well as IBM dashDB(C).
Many basic and complex R operations are pushed down into the database, which removes
the main memory boundary of R and allows to make full use of parallel processing in
the underlying database.
License: GPL-3
LazyLoad: Yes
NeedsCompilation: no
Packaged: 2015-12-10 10:48:18 UTC; mwurst
Repository: CRAN
Date/Publication: 2015-12-10 23:20:24
Package: RODM
Version: 1.1
Date: 2011-11-20
Title: R interface to Oracle Data Mining
Author: Pablo Tamayo <pablo.tamayo@oracle.com> and Ari Mozes
<ari.mozes@oracle.com>
Maintainer: Pablo Tamayo <pablo.tamayo@oracle.com>
Depends: R (>= 2.10.1), RODBC
Suggests: RODBC, mlbench, verification, PASWR, scatterplot3d
Description: This package implements an interface to Oracle Data Mining
(ODM). It provides an ideal environment for rapid development
of demos and proof of concept data mining studies. It
facilitates the prototyping of vertical applications and makes
ODM and the RDBMS environment easily accessible to
statisticians and data analysts familiar with R but not fluent
in SQL or familiar with the database environment. It also
facilitates the benchmarking and testing of ODM functionality
including the production of summary statistics, performance
metrics and graphics. It enables the scripting and control of
production data mining methodologies from a high-level
environment. Oracle Data Mining (ODM) is an option of Oracle
Relational Database Management System (RDBMS) Enterprise
Edition (EE). It contains several data mining and data analysis
algorithms for classification, prediction, regression,
clustering, associations, feature selection, anomaly detection,
feature extraction, and specialized analytics. It provides
means for the creation, management and operational deployment
of data mining models inside the database environment. For more
information consult the entry for "Oracle Data Mining" in
Wikipedia (en.wikipedia.org).
License: LGPL (>= 2)
URL: http://www.r-project.org
Packaged: 2012-10-29 08:57:32 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:32
providing 
.