R is an open-source programming language and software environment for statistical computing. The current and recommended version is R 3.2.1.
|
R Algorithm |
Dependent Packages |
|---|---|
|
HANA R-Apriori |
arules |
|
HANA R-CNR Tree |
rpart |
|
HANA R-Multiple Linear Regression |
stats |
|
HANA R-Triple Exponential Smoothing |
stats |
|
HANA R-Bagging Classification |
adabag, rpart |
|
HANA R-Boosting Classification |
adabag, rpart |
|
HANA R-Random Forest Classification |
randomForest |
|
HANA R-Random Forest Regression |
randomForest |
|
R Algorithm |
Dependent Packages |
|---|---|
|
R-CNR Tree |
rpart |
|
R-Apriori |
arules |
|
R-K-Means |
stats |
|
R-Linear Regression |
stats |
|
R-Multiple Linear Regression |
stats |
|
R-Exponential Regression |
stats |
|
R-Geometric Regression |
stats |
|
R-MONMLP Neural Network |
monmlp |
|
R-NNet Neural Network |
nnet |
|
R-Single Exponential Smoothing |
stats |
|
R-Double Exponential Smoothing |
stats |
|
R-Triple Exponential Smoothing |
stats |
|
R-Bagging Classification |
adabag, rpart |
|
R-Boosting Classification |
adabag, rpart |
|
R-Random Forest Classification |
randomForest |
|
R-Random Forest Regression |
randomForest |
Prerequisites:
To use open-source R algorithms in your analysis, you need to install the R environment and configure it with the application.
SAP Predictive Analytics provides an option to install and configure the current version of R and the required packages from within the application. Ensure that you are connected to the internet while installing R.
Installation:
To install the R environment and the required packages, perform the following steps: