02681nam a22002537a 4500 20220318152209.0 220318b ||||| |||| 00| 0 eng d 9781484275979 AL English 23 519.5028 WILA Matt Wiley and others 24209 Advanced R Statistical Programming and Data Models: Analysis Machine Learning and Visualization USA APress 2022 xx,638 p. PB 25.5x17.5 cm. 6321 ₹1999.20 ₹ ₹2499.00 20% 08-03-2022 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, 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). R (Computer program language) 24210 Mathematical statistics -- Data processing 24211 Electronic books 24212 WILEY (Matt) 24213 WILEY (Joshua F) 24214 ddc BK 221951 221951 0 0 ddc 0 0 SAT AL AL 2022-03-10 Biblios Book Point 1999.20 2 519.5028 WILA 075625 2025-07-09 12:55:04 2025-06-16 2499.00 2022-03-18 BK