plot.rpst: Produces a tree plot of a "rpst" object

In rpst: Recursive Partitioning Survival Trees

Description

Produces a tree plot of a "rpst" object.

Usage

  ## S3 method for class 'rpst'
plot(x, xlength = 1, ylength = 3, xshift = 0.5 , ysegment = 6,...)

Arguments

x	a "rpst" project.
xlength	xlength of the plot.
ylength	ylength of the plot.
xshift	xshift of the plot.
ysegment	ysegment of the plot.
...	additional summary arguments.

Author(s)

Yewei Li

References

Zhang, H., Legro, R. S., Zhang, J., Zhang, L., Chen, X., Huang, H., ... & Eisenberg, E. (2010). Decision trees for identifying predictors of treatment effectiveness in clinical trials and its application to ovulation in a study of women with polycystic ovary syndrome.. Human Reproduction, 25(10), 2612-2621.

See Also

rpst, print.rpst, predict.rpst.

Examples

#require(survival)
data <- gen.data(n = 20, p = 5, c = 2)
tree <- rpst(data$data, minsize = 2)
print.rpst(tree)

plot.rpst(tree)

rpst documentation built on May 2, 2019, 3:33 p.m.