Advanced R statistical programming and data models : analysis, machine learning, and visualization. /
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 us...
| Format: | Book |
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| Language: | English |
| Published: |
New York, N.Y. :
Apress,
[2019]
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| Online Access: | Ver documento en línea |
| Summary: | 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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| Physical Description: | 1 recurso en línea (xx, 638 páginas) : gráficos (algunos a color), archivo de texto, PDF. |
| ISBN: | 9781484228722 9781484228715 |
| Access: | Acceso al texto completo para la comunidad de la UCR por medio de la cuenta institucional |