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ibmdbR (version 1.42.2)

IBM in-Database Analytics for R

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.

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Version

Install

install.packages('ibmdbR')

Monthly Downloads

214

Version

1.42.2

License

GPL-3

Maintainer

Michael Wurst

Last Published

August 6th, 2015

Functions in ibmdbR (1.42.2)

ida.col.def methods

Available methods for ida.col.def

ida.list methods

Available methods for ida.list

idaQuery, idaScalarQuery

Run an SQL query on the database

Drop a predictive model from the database

IBM In-Database Analytics

k-means clustering

idadf,idaSave,idaUpdate

Query, store and update data in the database.

idaGetModelName

Get the name of a model

as.ida.data.frame

Convert an R object to a IDA data frame

Association Rule Mining

idaListModels and idaModelExists

List all predictive models in the database

Return a list of tables

Linear regression

idaCreateView, idaDropView

Create or drop a view

idaRetrieveModel

Retrieve a predictive model from the database

Initialize the In-Database Analytics functions

Naive Bayes Classifier

idaConnect, idaClose

Open or closes a IDA database connection

ida.data.frame, is.ida.data.frame

Create a IDA data frame

Merge IDA data frames

ida.data.frame methods

Available methods for ida.data.frame

Store and retrieve R objects in the database

In-Database Cross Tabulation and Table Creation

Taking a random sample from a IDA data frame

idaDeleteTable, idaExistTable, idaGetValidTableName

Miscellaneous tools