Visualising a Weibull model
In this exercise we will reproduce the example from the video following the steps:
- Compute Weibull model
- Decide on "imaginary patients"
- Compute survival curves
- Create
data.frame
with survival curve information - Plot
We will focus now on the last two steps.
The survival
, survminer
, and reshape2
packages and the GBSG2
data are loaded for you in this exercise.
The Weibull model wbmod
and the imaginary patient data newdat
you already computed are also available.
Este ejercicio forma parte del curso
Survival Analysis in R
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Use cbind() to combine the information in newdat with t
surv_wbmod_wide <- cbind(newdat, t)
# Use melt() to bring the data.frame to long format
surv_wbmod <- melt(surv_wbmod_wide, id.vars = c("___", "___"), variable.name = "surv_id", value.name = "___")