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ibmdbR
View on CRAN: Click
here
Download and install ibmdbR package within the R console
Install from CRAN:
install.packages("ibmdbR")
Install from Github:
library("remotes")
install_github("cran/ibmdbR") Install by package version:
library("remotes")
install_version("ibmdbR", "1.51.0") Attach the package and use:
library("ibmdbR")
Maintained by
Shaikh Quader
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-12-17
Latest Update: 2023-11-24
Description:
Functionality required to efficiently use R with IBM(R) Db2(R)
Warehouse offerings (formerly IBM dashDB(R)) and IBM Db2 for z/OS(R) in
conjunction with IBM Db2 Analytics Accelerator for z/OS.
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.
For executing R-functions in a multi-node environment in parallel the idaTApply() function
requires the 'SparkR' package ().
The optional 'ggplot2' package is needed for the plot.idaLm() function only.
How to cite:
Shaikh Quader (2014). ibmdbR: IBM in-Database Analytics for R. R package version 1.51.0, https://cran.r-project.org/web/packages/ibmdbR. Accessed 16 Jul. 2026.
Previous versions and publish date:
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Other R packages that ibmdbR depends,
imports, suggests or enhances
Complete documentation for ibmdbR
Functions, R codes and Examples using
the ibmdbR R package
Some associated functions: as.ida.data.frame . createview . ida.col.def.methods . ida.data.frame.methods . ida.data.frame . ida.list.methods . ida.list . idaArule . idaConnect . idaDivCluster . idaDropModel . idaGetModelName . idaGlm . idaKMeans . idaListAccelerators . idaListModels . idaLm . idaMerge . idaNb . idaQuery . idaRetrieveModel . idaSample . idaTApply . idaTable . idaTree . idaTwoStep . idadf . idatools . init . overview . showtables .
Some associated R codes: AllClass.R . aggregate.R . close.R . coldef.R . connect.R . connection.R . data.frame.R . data.frame.methods.R . divClust.R . glm.R . idadf.R . kMeans.R . list.R . lm.R . merge.R . model.management.R . nb.R . parse.formula.R . plot.idaLm.R . rules.R . sample.R . save.R . sql.R . statistics.R . tapply.R . tree.R . twoStep.R . update.R . Full ibmdbR package functions and examples
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