Description of the dataset and variables
This dataset contains 400 observations with 25 different variable, including: age, blood pressure, specific gravity, albumin, sugar, red blood cells, pus cell, pus cell clumps, bacteria, blood glucose random, blood urea, serum creatinine, sodium, potassium, hemoglobin, packed cell volume, white blood cell count, red blood cell count, hypertension, diabetes mellitus, coronary artery disease, appetite, pedal edema, anemia, class. All were collected between a 2 month period.
| Component | Description |
|---|---|
code/01_ckd_output1.R |
Generates Table 1, Table 2, and a correlation heat map. Saves data as .rds files in the output/ folder. |
code/02_render_report.R |
Renders the chronic_kidney_module5.Rmd file into a report. |
chronic_kidney_module5.Rmd |
Reads tables and graphs from code/01_ckd_output1.R. Creates two summary tables and one heat map. |
Makefile |
Contains rules for generating the final report and its HTML version. |
renv |
Directory containing all installed packages utilized in this project. |
Clone the repository via git clone
Generate the final report In the terminal
Run
make
Remove all files generated running make In the terminal
Run
make clean
To access the Docker image from Dockerhub
Go to https://hub.docker.com/repository/docker/kohguma/ckd_docker/general and to push a new tag you can
docker push kohguma/ckd_docker:tagnameon the terminal, but idk why you would.
Technically you can run
docker pull kohguma/ckd_docker
To run the Docker container and make the final report:
Run
make final_report/chronic_kidney_module5.html
This was all build under a MacOs/Linux system btw