Wiley M., Wiley J.F. - Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization[ENG] + Code

[GuDron]

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization / Продвинутые программирование для статистики и модели данных на R: Анализ, Машинное обучение, и Визуализация

Год издания: 2019
Автор: Wiley M., Wiley J.F. / Вили М., Вили Дж.Ф.
Издательство: Apress
ISBN: 978-1-4842-2872-2
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 638

Описание:
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.
Продвинутый статистический анализ на R.

Code

dumpz.ws