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:
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?