| --- | |
| 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")) | |
| ``` | |