So far, you have learned basic usages of R AnalyticFlow. Now you can create and utilize analysis flows for various types of analyses.
R AnalyticFlow has many other functions which is not covered in this tutorial. The following sources are available to learn about them.
The following sample analyses are available. These samples are placed at "SampleAnalysis" directory under the default working directory, or "sample" directory under the installation directory.
An analysis of iris data which we used in this tutorial. This sample contains more detailed analyses; it includes creating a decision tree model to predict iris species, and validating the prediction error of the model.
An R script for the same analysis is placed at "script" directory under the sample directory, as "IrisAnalysis.R"
This is a sample analysis of Boston housing data(Harrison and Rubinfeld (1978)).
This is a more practical example with a data mining framework. It includes the following analyses:
Explorative data analysis
Transformation of variables
Dividing data for training and testing
Training and validating a preditive model
Writing the result of prediction to a file
This example includes functions which could not be explained in this tutorial, for example; using "complex node" (see the "Transform" node in the flow), writing data into a file, or leaving comments on a node (you can see it by stopping the mouse pointer on the "Sampling" node).