Tidy Survey Analysis in R using the srvyr Package

Materials for AAPOR short course on Tidy Survey Analysis in R using the srvyr Package in May 2021

RawData folder contains public use file data along with any documentation
- American National Election Studies, 2016
- Residential Energy Consumption Survey, 2015
DataCleaningScripts folder contains scripts for making public use files analysis ready
- Create derived variables
- Renames some variables
- Selects fewer variables just for examples
Data folder contains data files ready for analysis in presentation and examples
Presentation folder contains the slides for the course
- Includes Rmd to create slides
- Slides are available in html, pptx, R, and PDF
Exercises contains RMD and R files with exercises and solutions to practice concepts

Sources

The American National Election Studies (https://electionstudies.org/). These materials are based on work supported by the National Science Foundation under grant numbers SES 1444721, 2014-2017, the University of Michigan, and Stanford University.
Residential Energy Consumption Survey: Using the 2015 Microdata File to Compute Estimates and Standard Errors. U.S. Department of Energy (2017) https://www.eia.gov/consumption/residential/data/2015/pdf/microdata_v3.pdf
Horst AM, Hill AP, Gorman KB (2020). palmerpenguins: Palmer Archipelago (Antarctica) penguin data. R package version 0.1.0. https://allisonhorst.github.io/palmerpenguins/
T. Lumley (2020) "survey: analysis of complex survey samples". R package version 4.0. https://r-survey.r-forge.r-project.org/survey/
Greg Freedman Ellis and Ben Schneider (2020). srvyr: 'dplyr'-Like Syntax for Summary Statistics of Survey Data. R package version 1.0.0. https://CRAN.R-project.org/package=srvyr
Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2021). dplyr: A Grammar of Data Manipulation. R package version 1.0.5. https://CRAN.R-project.org/package=dplyr