Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization | First Edition Edition

Compare Textbook Prices for Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization First Edition Edition ISBN 9781484228715 by Wiley, Matt,Wiley, Joshua F.
Authors: Wiley, Matt,Wiley, Joshua F.
ISBN:1484228715
ISBN-13: 9781484228715
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Details about 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 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 Learn Conduct advanced analyses in R including: generalized linear models, generalized additive models, mixedeffects 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 givenproven code to reduce time to result(s).

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Hi my name is Santanu, I have a master's degree in applied mathematics from Trinity College(Dublin Ireland) ,with a minor in chemistry and physics. I am a CRLA ( College Reading and Learning Association) certified tutor and held the position of head math and science tutor at Oakland Community College. I have several years of experience in tutoring chemistry, math and physics. I have tutored students ranging from elementary school level to college level. My teaching style involves detailed explan ... Read more

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