Interpretation of survivalsvm in R results, survival curves plotting
I used these libraries: "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
And this "pred.survsvm.reg" gives a result like this:
Image of "pred.survsvm.reg"
So how should I interpret it and maybe there is a possibility to plot this information for visual evaluation?
r survival-analysis survival
asked Nov 12 at 8:46
Ramune
11
add a comment |
I used these libraries: "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
And this "pred.survsvm.reg" gives a result like this:
Image of "pred.survsvm.reg"
So how should I interpret it and maybe there is a possibility to plot this information for visual evaluation?
r survival-analysis survival
asked Nov 12 at 8:46
Ramune
11
The question about the interpretation of your result is off topic here. I suggest reading the Help pages, especially How do I ask a good question?
– Mr. T
Nov 12 at 8:49
add a comment |
I used these libraries: "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
And this "pred.survsvm.reg" gives a result like this:
Image of "pred.survsvm.reg"
So how should I interpret it and maybe there is a possibility to plot this information for visual evaluation?
r survival-analysis survival
asked Nov 12 at 8:46
Ramune
11
I used these libraries: "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
And this "pred.survsvm.reg" gives a result like this:
Image of "pred.survsvm.reg"
So how should I interpret it and maybe there is a possibility to plot this information for visual evaluation?
r survival-analysis survival
r survival-analysis survival
asked Nov 12 at 8:46
Ramune
11
asked Nov 12 at 8:46
Ramune
11
asked Nov 12 at 8:46
Ramune
11
asked Nov 12 at 8:46
Ramune
11
asked Nov 12 at 8:46
Ramune
11
11
The question about the interpretation of your result is off topic here. I suggest reading the Help pages, especially How do I ask a good question?
– Mr. T
Nov 12 at 8:49
add a comment |
The question about the interpretation of your result is off topic here. I suggest reading the Help pages, especially How do I ask a good question?
– Mr. T
Nov 12 at 8:49
The question about the interpretation of your result is off topic here. I suggest reading the Help pages, especially How do I ask a good question?
– Mr. T
Nov 12 at 8:49
The question about the interpretation of your result is off topic here. I suggest reading the Help pages, especially How do I ask a good question?
– Mr. T
Nov 12 at 8:49
add a comment |
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The question about the interpretation of your result is off topic here. I suggest reading the Help pages, especially How do I ask a good question?
– Mr. T
Nov 12 at 8:49