Package: ggrisk 1.3

Jing Zhang

ggrisk: Risk Score Plot for Cox Regression

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.

Authors:Jing Zhang [aut, cre], Zhi Jin [aut]

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Bug tracker:https://github.com/yikeshu0611/ggrisk/issues

2 exports 1 stars 1.64 score 115 dependencies 6 mentions 24 scripts 313 downloads

Last updated 3 years agofrom:d1d5f48978. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:ggrisktwo_scatter

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