Advanced R Statistical Programming and Data Models

Advanced R Statistical Programming and Data Models
Author :
Publisher : Apress
Total Pages : 649
Release :
ISBN-10 : 9781484228722
ISBN-13 : 1484228723
Rating : 4/5 (723 Downloads)

Book Synopsis Advanced R Statistical Programming and Data Models by : Matt Wiley

Download or read book Advanced R Statistical Programming and Data Models written by Matt Wiley and published by Apress. This book was released on 2019-02-20 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. What You’ll LearnConduct advanced analyses in R including: generalized linear models, generalized additive models, mixed effects models, machine learning, and parallel processing Carry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysis Handle machine learning using R including parallel processing, dimension reduction, and feature selection and classification Address missing data using multiple imputation in R Work on factor analysis, generalized linear mixed models, and modeling intraindividual variability Who This Book Is For Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are given proven code to reduce time to result(s).


Advanced R Statistical Programming and Data Models Related Books

Advanced R Statistical Programming and Data Models
Language: en
Pages: 649
Authors: Matt Wiley
Categories: Computers
Type: BOOK - Published: 2019-02-20 - Publisher: Apress

DOWNLOAD EBOOK

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and mis
Advanced R
Language: en
Pages: 669
Authors: Hadley Wickham
Categories: Mathematics
Type: BOOK - Published: 2015-09-15 - Publisher: CRC Press

DOWNLOAD EBOOK

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming pro
Metaprogramming in R
Language: en
Pages: 106
Authors: Thomas Mailund
Categories: Computers
Type: BOOK - Published: 2017-06-01 - Publisher: Apress

DOWNLOAD EBOOK

Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R langu
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
R for Everyone
Language: en
Pages: 464
Authors: Jared P. Lander
Categories: Computers
Type: BOOK - Published: 2014 - Publisher: Pearson Education

DOWNLOAD EBOOK

A guide to using and understanding the 'R' computer programming language.