Malaria infection analysis

This repository contains the software to analyses a malaria infection dataset with outcomes.

Installation

Install RStudio with R.

Packages can be installed with, for example

install.packages("tidyverse")

Under GNU Guix

With GNU Guix install

guix package -i r r-markdown r-rmarkdown r-tidyverse r-hash r-hmisc

options(download.file.method="wget")

Data

This is pre-published data. At this point contact KEMRI if you want access. The following datasets are available:

Methods

The data is from 4 sampling locations with lots of measurements. The goal is to find predictors for outcomes. Since this is small-sized data we can use correlation and linear models using R.

Methods used are correlation, linear regression, principle component analysis, category analysis and multi-level linear models.

LICENSE

Code is published under the GPLv3.

Francis Ndungu & Pjotr Prins