Behavioral Research Data Analysis with R

This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide pra...

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Main Authors: Li, Yuelin, Baron, Jonathan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY Springer New York 2012, 2012
Edition:1st ed. 2012
Series:Use R!
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Reading and Transformting Data Format
  • Statistics for Comparing Means and Proportions
  • R Graphics and Trellis Plots
  • Analysis of Variance
  • Linear and Logistic Regression
  • Statistical Power and Sample Size Considerations
  • Item Response Theory
  • Imputation of Missing Data
  • Linear Mixed Effects Models in Analyzing Repeated Measures Data
  • Linear Mixed Effects Models in Cluster Randomized Studies