Behavioral Research Data Analysis with R

Behavioral Research Data Analysis with R || Introduction

✍ Li, Yuelin; Baron, Jonathan 📂 Article 📅 2011 🏛 Springer New York 🌐 English ⚖ 214 KB

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

Behavioral Research Data Analysis with R || || Front_matter

✍ Li, Yuelin; Baron, Jonathan 📂 Article 📅 2012 ⚖ 366 KB

Behavioral Research Data Analysis with R

Behavioral Research Data Analysis with R || Imputation of Missing Data

✍ Li, Yuelin; Baron, Jonathan 📂 Article 📅 2011 🏛 Springer New York 🌐 English ⚖ 233 KB

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

Behavioral Research Data Analysis with R

Behavioral Research Data Analysis with R || Reading and Transforming Data Format

✍ Li, Yuelin; Baron, Jonathan 📂 Article 📅 2011 🏛 Springer New York 🌐 English ⚖ 226 KB

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

Behavioral Research Data Analysis with R

Behavioral Research Data Analysis with R || Item Response Theory

✍ Li, Yuelin; Baron, Jonathan 📂 Article 📅 2011 🏛 Springer New York 🌐 English ⚖ 352 KB

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

Behavioral Research Data Analysis with R

Behavioral Research Data Analysis with R || Linear and Logistic Regression

✍ Li, Yuelin; Baron, Jonathan 📂 Article 📅 2011 🏛 Springer New York 🌐 English ⚖ 296 KB

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

Behavioral Research Data Analysis with R || R Graphics and Trellis Plots

✦ Synopsis