Название: Exploring Complex Survey Data Analysis Using R: A Tidy Introduction with {srvyr} and {survey}
Автор: Stephanie Zimmer, Rebecca Powell, Isabella Velásquez
Издательство: CRC Press
Год: 2025
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 63.8 MB
Surveys are powerful tools for gathering information, uncovering insights, and facilitating decision-making. However, to ensure the accurate interpretation of results, they require specific analysis methods. In this book, readers embark on an in-depth journey into conducting complex survey analysis with the {srvyr} package and Tidyverse family of functions from the R programming language. Intended for intermediate R users familiar with the basics of the Tidyverse, this book gives readers a deeper understanding of applying appropriate survey analysis techniques using {srvyr}, {survey}, and other related packages. With practical walkthroughs featuring real-world datasets, such as the American National Election Studies and Residential Energy Consumption Survey, readers will develop the skills necessary to perform impactful survey analysis on survey data collected through a randomized sample design. Additionally, this book teaches readers how to interpret and communicate results of survey data effectively. This book is tailored for analysts already familiar with R and the Tidyverse, but who may be new to complex survey analysis in R.
Автор: Stephanie Zimmer, Rebecca Powell, Isabella Velásquez
Издательство: CRC Press
Год: 2025
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 63.8 MB
Surveys are powerful tools for gathering information, uncovering insights, and facilitating decision-making. However, to ensure the accurate interpretation of results, they require specific analysis methods. In this book, readers embark on an in-depth journey into conducting complex survey analysis with the {srvyr} package and Tidyverse family of functions from the R programming language. Intended for intermediate R users familiar with the basics of the Tidyverse, this book gives readers a deeper understanding of applying appropriate survey analysis techniques using {srvyr}, {survey}, and other related packages. With practical walkthroughs featuring real-world datasets, such as the American National Election Studies and Residential Energy Consumption Survey, readers will develop the skills necessary to perform impactful survey analysis on survey data collected through a randomized sample design. Additionally, this book teaches readers how to interpret and communicate results of survey data effectively. This book is tailored for analysts already familiar with R and the Tidyverse, but who may be new to complex survey analysis in R.