Advanced R statistical programming and data models: analysis machine learning and visualization/ Matt Wiley & Joshua F Wiley
Publication details: New York: Apress, 2019Description: xx, 638 pages, 23 cmISBN:- 9781484228715
- 23 SA.055 W676
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata General Stacks | SA.055 W676 (Browse shelf(Opens below)) | Available | 138560 |
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Includes bibliography and index
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.
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