---
title: "Merge Datasets Together"
author: "Vy Nguyen"
date: "1/15/2023"
output: html_document
---

## Goal
We will learn how to merge NHANES datasets together by using tidyverse syntax.

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.

## Install packages 
You only need to run this ONCE!
```{r, echo = FALSE}
install.packages("tidyverse") # Needed to pipe functions together
```

## Load packages
Run this to have access to the functions in the tidyverse package.
```{r, echo = FALSE}
library("tidyverse") 
```

## Loading NHANES datasets
Make sure you set your working directory to be the folder containing the file for the NHANES data. 
```{r, echo = FALSE}
load("./w - nhanes_1988_2018.RData")
```


## Merge NHANES datasets
Please use any dataset that ends with "_clean". 
Let's merge the demographics, mortality, and weights datasets together using tidyverse syntax.
```{r, echo = FALSE}
nhanes_merged <- full_join(demographics_clean, 
                    mortality_clean, 
                    by = c("SEQN",
                           "SEQN_new", 
                           "SDDSRVYR")) %>%
  full_join(., # Mean the previous data frame, so the merged dataset of demographic and mortality variables
            weights_clean, 
            by = c("SEQN",
                   "SEQN_new", 
                   "SDDSRVYR")) %>%
  full_join(., # Mean the previous data frame, so the merged dataset of demographic, mortality, and response variables
            response_clean,
            by = c("SEQN",
                   "SEQN_new", 
                   "SDDSRVYR"))
```