解释R结果中的Survivalsvm,绘制生存曲线

时间:2018-11-12 08:46:37

标签: r survival-analysis survival

我使用了这些库:“ survivalsvm”,“ survival”,“ ggplot2”,“ dplyr”,“ ggfortify”,“ lattice”,“ survminer”,“ corrplot”,“ ranger”。

km <- Surv(time, status)

survsvm.reg <- survivalsvm(formula = km~., data = dfn, type = "hybrid", gamma.mu = c(0.1,0.1), opt.meth = "quadprog",diff.meth = "makediff3",kernel = "lin_kernel",sgf.sv = 5, sigf = 7, maxiter = 20,margin = 0.05, bound = 10)

pred.survsvm.reg <- predict(object = survsvm.reg, newdata = dfn) pred.survsvm.reg

此“ pred.survsvm.reg”给出的结果如下:

Image of "pred.survsvm.reg"

那么我应该如何解释它,也许可以绘制这些信息以进行视觉评估?

0 个答案:

没有答案