plot.variable {randomSurvivalForest} | R Documentation |
Plot of ensemble mortality for each predictor.
plot.variable(x, plots.per.page = 4, granule = 25, prednames = NULL, main = deparse(substitute(x)), ...)
x |
An object of class randomSurvivalForest ,
as that created by the function rsf . |
plots.per.page |
Integer value controlling page layout. |
granule |
Integer value controlling whether a plot for a specific predictor should be given as a boxplot or scatter plot. Larger values coerce boxplots. |
prednames |
Character vector of predictor names. Only these predictors will be plotted. |
main |
Plot title. |
... |
Further arguments passed to or from other methods. |
The ensemble mortality is plotted against each predictor used in
growing the forest. Ensemble mortality values (vertical axis)
should be interpreted in terms of total number of deaths. For
example, if individual i
has a mortality value of 100, then
if all individuals had the same predictor as i
, there would
be 100 deaths in the dataset (on average).
Hemant Ishwaran hemant.ishwaran@gmail.com and Udaya B. Kogalur ubk2101@columbia.edu
H. Ishwaran and Udaya B. Kogalur (2006). Random Survival Forests. Cleveland Clinic Technical Report.
rsf
,
print.rsf
,
plot.ensemble
,
plot.error
,
plot.proximity
.
data(veteran,package = "randomSurvivalForest") v.out <- rsf(Survrsf(time,status)~., veteran, ntree = 1000) plot.variable(v.out) plot.variable(v.out, plots.per.page = 2, granule = 5, prednames = c("trt", "karno", "age"))