£53.27

Springer R for SAS and SPSS Users - Data Analysis Guide

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Description

Transitioning from legacy statistical software to R can be a challenge. This book by Springer provides a smooth bridge for professionals already experienced with SAS and SPSS. It introduces the R software system by using the terminology and concepts you already know, making the learning curve much easier to manage. Instead of starting from scratch, you will learn how R's built-in functions compare to your existing workflows. The text identifies specific add-on packages that mimic SAS and SPSS functionality, allowing you to maintain productivity while adopting this free, powerful tool for data analysis and graphics. Through more than 30 step-by-step programs, you can see the direct differences in how SAS, SPSS, and R approach the same data tasks. This comparative method helps solidify your understanding of R's unique capabilities. With downloadable practice datasets and a specialized glossary that translates SAS/SPSS jargon into R terms, this guide is a practical resource for anyone looking to expand their statistical toolkit.

Key Features

Translates R concepts using familiar SAS and SPSS terminology to simplify your learning process.

Compares R built-in functions with existing software methods through over 30 detailed programs.

Identifies the most relevant add-on packages that function similarly to SAS and SPSS tools.

Includes downloadable programs and practice datasets to support hands-on learning and application.

Features a specialized glossary defining over 50 R terms using SAS and SPSS jargon for quick reference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 July 2011
Listed Since
10 June 2011

Barcode

No barcode data available

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