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README.Rmd
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README.Rmd
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---
output:
github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
# copy and paste this next to '# ukbwranglr' below to include hex badge
# <img src="man/figures/test.png" align="right" width="100" />
```
# ukbwranglr
<!-- badges: start -->
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<!-- badges: end -->
# Overview
The goal of ukbwranglr is to facilitate analysing UK Biobank data, including:
1. Reading a selection of UK Biobank variables into R.
2. Summarising repeated continuous variable measurements.[^1]
3. Extracting phenotypic outcomes of interest from clinical events data.[^2]
[^1]: For example, calculating a mean/minimum/maximum body mass index (BMI) from repeated BMI measurements.
[^2]: For example, identifying participants with a diagnosis of hypertension from linked primary and secondary health care records.
# Installation
You can install the development version of ukbwranglr with:
```{r eval=FALSE}
# install.packages("devtools")
devtools::install_github("rmgpanw/ukbwranglr")
```
# Basic workflow
The basic workflow is as follows:
1. Create a data dictionary for your main UK Biobank dataset with `make_data_dict()`.
2. Read selected variables into R with `read_ukb()`.
3. Summarise continuous variables with `summarise_numerical_variables()`.
4. Tidy clinical events data with `tidy_clinical_events()` or `make_clinical_events_db()`, and extract outcomes of interest with `extract_phenotypes()`.
5. Analyse.
Please see `vignette('ukbwranglr')` for further details.