Introduction to R in IBM SPSS ModelerThis IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high level understanding of R integration within SPSS Modeler enabling you to create or recreate some very basic R models within SPSS Modeler, even if you have only a basic knowledge of R. Chapter 5 provides more detailed tips and tricks. This chapter is for the experienced user and consists of items that might help you get up to speed with more detailed functions of the integration and understand some pitfalls. |
Common terms and phrases
approach back to SPSS calculate cbind(modelerDataModel,newVar chapter contains code example Custom Dialog Builder data frame data goes data set default defined developerWorks Dialog Properties Download Example 3-1 existing data field chooser fieldFormat fieldLabel fieldMeasure fieldRole fieldStorage fieldStorage="real folder following sections function graph output Hadoop IBM SPSS Modeler input variables integration International Business Machines loop Model class model node modelerData and modelerDataModel modelerData$tenure modelerModel modelerModel names newVar non-IBM products nugget Number Control Number of trees output node package predefined Properties Property PureData for Analytics radio button RandomForest Read data options real-time scoring Remove Columns scoring script Script Figure script template Select the input Select your target shown in Example shows Solution Publisher SPSS Modeler version SQL Pushback string syntax target variable terminal node text output ThisValue trailing spaces transform node type node values Variable Filter variable Select vector WHATTODO z scores


