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...
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
2012, 2012
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Edition: | 1st ed. 2012 |
Series: | Use R!
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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