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.
Version: 1.3 Depends: R (≥ 2.10) Imports: ggplot2, survival, egg, do, set, cutoff, grid, rms, nomogramFormula, reshape2 Published: 2021-08-09 DOI: 10.32614/CRAN.package.ggrisk Author: Jing Zhang [aut, cre], Zhi Jin [aut] Maintainer: Jing Zhang <zj391120 at 163.com> BugReports: https://github.com/yikeshu0611/ggrisk/issues License: GPL-2 URL: https://github.com/yikeshu0611/ggrisk NeedsCompilation: no CRAN checks: ggrisk results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ggrisk to link to this page.
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