Data and R scripts for:Diet-induced inflammation and gout prevalence: Sex-specific findings from a cross-sectional analysis in the representative US population

Dataset: datav4.csv Source: The data was derived from the National Health and Nutrition Examination Survey (NHANES). Processing: The raw NHANES data underwent a cleaning and preparation process using the shuffle.R script included in this repository, resulting in the datav4.csv file. R Scripts This repository includes three R scripts which should generally be run in the following order: shuffle.R: Function: This script is responsible for data cleaning, preprocessing, and a_gout_study_data_codeMing of the initial NHANES data to generate the final analytical dataset (datav4.csv). calculate.R: Function: This script performs the main statistical calculations and generates most of the tables presented in the manuscript. Dependency: This script uses the datav4.csv file generated by shuffle.R. plot.R: Function: This script is used to generate the figures and plots included in the study. Dependency: This script likely uses data objects created by calculate.R or the datav4.csv file directly. System Requirements R Version: The scripts were developed and tested using R version 4.4.1. Required R Packages The following R packages need to be installed to run the scripts: dplyr tidyr ggplot2 VIM You can install these packages in R using the following command: install.packages(c("dplyr", "tidyr", "ggplot2", "VIM"))