If you are interested in using ORE or just to get an idea of what does ORE give you that does not already exist in one of the other R packages then the table below lists the packages that come as part of ORE.
Before you can use then you will need to load these into your workspace. To do this you can issue the following command from the R prompt or from the prompt in RStudio.> library(ORE) RStudio is my preferred R interface and is widely used around the world.
|ORE Installed Packages||Description|
|ORE||Oracle R Enterprise|
|OREbase||ORE - base|
|OREdm||The ORE functions that use the in-database Oracle Data Miner algorithms|
|OREeda||The ORE functions used for exploratory data analysis|
|OREgraphics||The ORE functions used for graphics|
|OREpredict||The ORE functions used for model predictions|
|OREstats||The ORE stats functions|
|ORExml||The ORE functions that convert R objects to XML|
|DBI||R Database Interface|
|ROracle||OCI based Oracle database interface for R|
|XML||Tools for parsing and generating XML within R and S-Plus.|
|bitops||Functions for Bitwise operations|
|png||Read and write PNG images|
In addition to these core ORE packages, ORE also uses some R packages as part of the core ORE packages listed above. The following table lists the R packages that are used in the ORE packages. So make sure you have these packages installed. They should have come with your installation of R, but if something has happened then you can download them again.
|R Packages used by ORE||Description|
|base||The R Base Package|
|boot||Bootstrap Functions (originally by Angelo Canty for S)|
|class||Functions for Classification|
|cluster||Cluster Analysis Extended Rousseeuw et al|
|codetools||Code Analysis Tools for R|
|compiler||The R Compiler Package|
|datasets||The R Datasets Package|
|foreign||Read Data Stored by Minitab, S, SAS, SPSS, Stata, Systat, dBase, ..|
|graphics||The R Graphics Package|
|grDevices||The R Graphics Devices and Support for Colours and Fonts|
|grid||The Grid Graphics Package|
|KernSmooth||Functions for kernel smoothing for Wand & Jones (1995)|
|MASS||Support Functions and Datasets for Venables and Ripley's MASS|
|Matrix||Sparse and Dense Matrix Classes and Methods|
|methods||Formal Methods and Classes|
|mgcv||GAMs with GCV/AIC/REML smoothness estimation and GAMMs by PQL|
|nlme||Linear and Nonlinear Mixed Effects Models|
I've been using R a lot over the past few years and I've had a number of projects involving R particularly over the past 12 month. I just found out that I will now have another short duration R project in May and June.
So watch out for lots more blog posts on R and ORE. Plus the usual blog posts on using Oracle Data Mining. ORE and Oracle Data Mining are very closely linked.