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      Moving from IBM® SPSS® to R and RStudio®: A Statistics Companion

      2 in stock

      Firm sale: non returnable item
      SKU 9781071817001 Categories ,
      The concise and easy-to-read guide for users who want to learn how to perform the same statistical calculations in R as in SPSS.
      Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don''t know where to begin? Do you want to be able to perform all the same ...

      £33.99

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      Description

      Product ID:9781071817001
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Moving from IBM® SPSS® to R and RStudio®
      Subtitle:A Statistics Companion
      Authors:Author: Howard T. Tokunaga
      Page Count:312
      Subjects:Study and learning skills: general, Study & learning skills: general
      Description:The concise and easy-to-read guide for users who want to learn how to perform the same statistical calculations in R as in SPSS.
      Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don''t know where to begin? Do you want to be able to perform all the same functions you use in IBM® SPSS® in R? Is your license to IBM® SPSS® expiring, or are you looking to provide your students guidance to a freely-available statistical software program? 

      Moving from IBM® SPSS® to R and RStudio®: A Statistics Companion 
      is a concise and easy-to-read guide for users who want to know learn how to perform statistical calculations in R. Brief chapters start with a step-by-step introduction to R and RStudio, offering basic installation information and a summary of the differences. Subsequent chapters walk through differences between SPSS and R, in terms of data files, concepts, and structure. Detailed examples provide walk-throughs for different types of data conversions and transformations and their equivalent in R. Helpful and comprehensive appendices provide tables of each statistical transformation in R with its equivalent in SPSS and show what, if any, differences in assumptions factor to into each function. Statistical tests from t-tests to ANOVA through three-factor ANOVA and multiple regression and chi-square are covered in detail, showing each step in the process for both programs. By focusing just on R and eschewing detailed conversations about statistics, this brief guide gives adept SPSS® users just the information they need to transition their data analyses from SPSS to R. 
      Imprint Name:SAGE Publications Inc
      Publisher Name:SAGE Publications Inc
      Country of Publication:GB
      Publishing Date:2021-06-15

      Additional information

      Weight456 g
      Dimensions151 × 228 × 19 mm