https://github.com/hamzarahal/r_oncology_graph
Graphical Presentation of Clinical Data in Oncology Studies Using R
https://github.com/hamzarahal/r_oncology_graph
kaplan-meier-plot oncology-data r-graphics r-programming survival-analysis
Last synced: 7 months ago
JSON representation
Graphical Presentation of Clinical Data in Oncology Studies Using R
- Host: GitHub
- URL: https://github.com/hamzarahal/r_oncology_graph
- Owner: hamzarahal
- Created: 2024-09-07T16:58:40.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-25T08:55:23.000Z (about 1 year ago)
- Last Synced: 2025-01-21T11:24:59.042Z (9 months ago)
- Topics: kaplan-meier-plot, oncology-data, r-graphics, r-programming, survival-analysis
- Language: R
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# R_Oncology_graph
Graphical presentation of clinical data in oncology can transport message quickly and directly. Commonly
generated plots like Kaplan-Meier Curve visualize the survival curve by survival distribution; Waterfall
Plot display the best tumor shrinkage of each subjects and colored by response or other features at the
same time; Forest Plot further analysis the treatment effect by subgroup; Swimmer Plot illustrate each
subjects tumor response over time.
R basic functionality allow you to create plot in a simple way and multiple packages are developed for specific usage, it’s free, easy to get start and
can be well used by clinical studies. This repo will display and discuss the procedures to generate common plots in oncology studies in R and also demonstrate on the feature of
R graphics system.