The risk plot may be one of the most commonly used figures in tumor genetic data analysis. We can conclude the following two points: Comparing the prediction results of the model with the real survival situation to see whether the survival rate of the high-risk group is lower than that of the low-level group, and whether the survival time of the high-risk group is shorter than that of the low-risk group. The other is to compare the heat map and scatter plot to see the correlation between the predictors and the outcome.
Package details |
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Author | Jing Zhang [aut, cre], Zhi Jin [aut] |
Maintainer | Jing Zhang <zj391120@163.com> |
License | GPL-2 |
Version | 1.3 |
URL | https://github.com/yikeshu0611/ggrisk |
Package repository | View on CRAN |
Installation |
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