Programming and Data Management for IBM SPSS Statistics 18

Gain better understanding of the depth of features beneath the IBM SPSS Statistics user interface.

Programming and Data Management for IBM SPSS Statistics 18: A Guide for IBM SPSS Statistics and SAS© Users includes:

  • Data management using the IBM SPSS Statistics command language
  • Programming with IBM SPSS Statistics and Python
  • Programming with IBM SPSS Statistics and R
  • Extension commands
  • IBM SPSS Statistics for SAS programmers

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IBM SPSS Statistics 18 Data Management Book

What You Will Learn with This Guide

With this book, you will be able to:

  • Use IBM SPSS Statistics tools to import data, clean it, transform it, merge it with other data, and get it into the condition required to produce reliable models and informative results
  • Utilize Python programming language to control the IBM SPSS Statistics command stream
  • Read from and write to active datasets
  • Create new datasets
  • Create custom output
  • Write custom procedures in R
  • Create new IBM SPSS Statistics commands--called extension commands--that are implemented in Python or R.

This book reflects the work of many members of the SPSS Inc. staff, as well as that of SPSS-X list member Raynald Levesque, whose examples formed the backbone of earlier editions and remain important in this edition.

Programming and Data Management for IBM SPSS Statistics 18: A Guide for IBM SPSS Statistics and SAS© Users is intended for use with IBM SPSS Statistics 18 or later. If you are using version 14.0 or earlier, we encourage you to upgrade to version 18 to take full advantage of the IBM SPSS Statistics Programmability Extension™.

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