TY  - GEN
AU  - Wiley,Matt
AU  - Wiley,Joshua F
TI  - Advanced R statistical programming and data models: analysis machine learning and visualization
SN  - 9781484228715
U1  - SA.055 23
PY  - 2019///
CY  - New York
PB  - Apress
KW  -  Mathematical Statistics
KW  - Data Processing
KW  -  R Programming
KW  - Machine Learning
KW  - Statistics
N1  - Includes bibliography and index
N2  - Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study.
Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You’ll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics.  This is a must-have guide and reference on using and programming with the R language
ER  -