An example in reproducibility

This repository contains the Nebraskan subset from the 2023 Behavioral Risk Factor Surveillance System (BRFSS). The BRFSS is run annually by the Center for Disease control and prevention (CDC).

You can load the data with

brfss <- readRDS("brfssNE2023.rds")

The dataset contains 12886 observations on 350 variables.

The codebook for the full data is available from https://www.cdc.gov/brfss/annual_data/annual_2023.html. A copy of the site is included in the repo in the file USCODE23_LLCP_021924.HTML.

Variables names starting with X_ in the R data are listed in the codebook without the starting X, i.e. the variable X_AGEG5YR can be found as _AGEG5YR in the codebook.

Todo

0. Clone this repository to your local machine and open RStudio using the file reproducibility-brfss.Rproj.
1. Create a quarto document index.qmd. This is the file in which you should include all of your work.
2. Use the brfss data described above to find an age distribution of all Nebraskans who participated in the BRFSS survey. Use the variable X_AGEG5YR and show the distribution in a barchart and a table. Make sure to address in a paragraph how you deal with non responses.
3. Is the age of Nebraskans distributed significantly different from the nationally reported age distribution? (You could run a Chi-square test of homogeneity using chisq.test) Make sure to interpret the results.
4. Re-do the analysis in questions 2 and 3 by considering the survey weights X_LLCPWT. Again, interpret the results. How do you explain the differences?

Submission

1. Make sure that your file index.qmd contains all the details needed for me to re-run your analysis.
2. Ensure that the file renders without an error.

Add your file index.qmd to the repository, commit and push.