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Advanced R Statistical Programming and Data Models: Analysis, Machine Learning,

Description: Title: Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization Author: Wiley, Matt Publisher: Apress Binding: Paperback Pages: 638 Dimensions: 10.00h x 7.00w x 1.33d Product Weight: 2.48 lbs. Language: English ISBN: 9781484228715 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 processingCarry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysisHandle machine learning using R including parallel processing, dimension reduction, and feature selection and classificationAddress missing data using multiple imputation in RWork 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).   Ships Fast From The USA! Authorized Dealer

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End Time: 2024-11-15T22:40:46.000Z

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Advanced R Statistical Programming and Data Models: Analysis, Machine Learning,

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Book Title: Apress

Number of Pages: Xx, 638 Pages

Publication Name: Advanced R Statistical Programming and Data Models

Language: English

Publisher: Apress L. P.

Publication Year: 2019

Subject: Programming / General, Probability & Statistics / General, Computer Science, Compilers

Item Weight: 43.6 Oz

Type: Textbook

Item Length: 10 in

Author: Matt Wiley, Joshua F. Wiley

Subject Area: Mathematics, Computers

Item Width: 7 in

Format: Trade Paperback

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