Skip to content

Latest commit

 

History

History
100 lines (79 loc) · 2.84 KB

README.md

File metadata and controls

100 lines (79 loc) · 2.84 KB
Raw

healthgpsrvis

R-CMD-check

The goal of healthgpsrvis is to plot and visualise data related to Health-GPS.

Getting Started

Prerequisites

Installation

You can install the development version of healthgpsrvis from GitHub with:

# install.packages("devtools")
devtools::install_github("imperialCHEPI/healthgpsrvis")

Example

This is a basic example which shows you how to solve a common problem:

library(healthgpsrvis)
data_mean_weighted <- data.frame(
    time = rep(seq(2020, 2055, by = 5), 3),
    weighted_bmi = runif(24, 25, 38),
    weighted_energyintake = runif(24, 1700, 2750),
    weighted_fat = runif(24, 38, 120),
    weighted_obesity = runif(24, 0.1, 0.7),
    weighted_protein = runif(24, 46, 210),
    weighted_sodium = runif(24, 874, 2768),
    source = rep(c("Source_1", "Source_2", "Source_3"), each = 8)
  )
plot_bmi <- riskfactors("bmi", data_mean_weighted)
plot_bmi
#> Warning: Use of `data_mean_weighted$time` is discouraged.
#> ℹ Use `time` instead.

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

# summary(cars)

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.