Tidy Survey Analysis in R using the srvyr Package

Materials for a forthcoming short course presented in 3 sessions.

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 folder contains RMD and R files with exercises and solutions to practice concepts
Codebooks folder contains HTML and MD codebooks for the variables used from ANES 2020 and RECS 2015.

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