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README.md 933 B

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  1. # Malaria infection analysis
  2. This repository contains the software to analyses a malaria infection
  3. dataset with outcomes.
  4. # Installation
  5. Install RStudio with R.
  6. Packages can be installed with, for example
  7. install.packages("tidyverse")
  8. ## Under GNU Guix
  9. With GNU Guix install
  10. guix package -i r r-markdown r-rmarkdown r-tidyverse r-hash r-hmisc
  11. options(download.file.method="wget")
  12. # Data
  13. This is pre-published data. At this point contact KEMRI if you
  14. want access. The following datasets are available:
  15. # Methods
  16. The data is from 4 sampling locations with lots of measurements. The
  17. goal is to find predictors for outcomes. Since this is small-sized
  18. data we can use correlation and linear models using R.
  19. Methods used are correlation, linear regression, principle component
  20. analysis, category analysis and multi-level linear models.
  21. # LICENSE
  22. Code is published under the GPLv3.
  23. Francis Ndungu & Pjotr Prins