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Advanced R Statistical Programming and Data Models

Produktform: Buch / Einband - flex.(Paperback)

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, 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.    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). weiterlesen

Sprache(n): Englisch

ISBN: 978-1-4842-2871-5 / 978-1484228715 / 9781484228715

Verlag: APRESS

Erscheinungsdatum: 21.02.2019

Seiten: 638

Auflage: 1

Autor(en): Joshua F. Wiley, Matt Wiley

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