{"title":"Matt Wiley","description":null,"products":[{"product_id":"beginning-r-4-book-matt-wiley-9781484260524","title":"Beginning R 4","description":"1: Installing R2: Installing Packages and Using Libraries3: Data Input and Output4: Working with Data5: Data and Samples6: Descriptive Statistics7: Understanding Probability and Distribution8: Correlation and Regression9: Confidence Intervals10: Hypothesis Testing11: Multiple Regression12: Moderated Regression13: Analysts of VarianceBibliography","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49741217530129,"sku":"NGR9781484260524","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52149394309393,"sku":"NLS9781484260524","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/148426052X.jpg?v=1751372382"},{"product_id":"advanced-r-4-data-programming-and-the-cloud-book-matt-wiley-9781484259726","title":"Advanced R 4 Data Programming and the Cloud","description":"Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects now formally inherit from the array class, eliminating inconsistencies. Advanced R 4 Data Programming and the Cloud is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R; it shows you how to program in R to automate tasks.  This book will teach you how to manipulate data in modern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics. What You Will Learn                            Write and document R functions using R 4 Make an R package and share it via GitHub or privately Add tests to R code to ensure it works as intended Use R to talk directly to databases and do complex data management Run R in the Amazon cloud Deploy a Shiny digital dashboard Generate presentation-ready tables and reports using R  Who This Book Is For  Working professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":51029311324433,"sku":"NIN9781484259726","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52683166286097,"sku":"NLS9781484259726","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1484259726.jpg?v=1751053458"},{"product_id":"advanced-r-statistical-programming-and-data-models-book-matt-wiley-9781484228715","title":"Advanced R Statistical Programming and Data Models","description":"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).","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51029363327249,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51029366800657,"sku":"NIN9781484228715","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52586339533073,"sku":"NLS9781484228715","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1484228715.jpg?v=1750859273"}],"url":"https:\/\/www.worldofbooks.com\/en-au\/collections\/author-books-by-matt-wiley.oembed","provider":"World of Books ","version":"1.0","type":"link"}