legliv: The Association between Substitution of Red Meat with Legumes and Risk of Primary Liver Cancer in UK Biobank: A Cohort Study
With this project, we will statistically model replacement of red meat consumption with legumes in relation to incident primary liver cancer and assess whether the association is mediated through non-alcoholic fatty liver disease (NAFLD).
This research project uses the UK Biobank Resource under Application Number 81520.
If dependencies have been managed by using
usethis::use_package("packagename")
through the DESCRIPTION
file,
installing dependencies is as easy as opening the .Rproj
file and
running this command in the console:
pak::pak()
To build the reports and papers to PDF, you'll need to install TinyTeX:
tinytex::install_tinytex()
The data-raw/
folder contains the scripts to select, process, and
prepare the data on the RAP to eventually be downloaded.
The steps to take to select the variables you want, create the CSV file on the RAP and download to your project on RAP. The order is:
- Select the variables you want in
data-raw/project-variables.csv
. - Follow the instructions in the
data-raw/create-data.R
script and run it to create the CSV file on the RAP server. - Run
targets::tar_make()
to download the CSV file todata/
and get the project analysis to the current state.
The following folders contain:
-
data/
: Will contain the UK Biobank data (not saved to Git) as well as the intermediate results output files. -
data-raw/
: Contains the R script to download the data, as well as the CSV files that contain the project variables and the variable list as named in the RAP. -
doc/
: This file contains the R Markdown, Word, or other types of documents with written content, like the manuscript and protocol. -
R/
: Contains the R scripts and functions to create the figures, tables, and results for the project.