rprev (version 0.2.4)

plot.survfit.prev: Plot bootstrapped survival curves.

Description

This method plots survival curves for a survfit.prev object.

Usage

# S3 method for survfit.prev
plot(x, pct_show = 0.9, ...)

Arguments

x

A survfit.prev object.

pct_show

A list or dataframe with the covariate values to calculate survival probabilities.

...

Arguments passed to plot.

Value

An S3 object of class ggplot.

Details

The survival curve for a model formed on all the data is displayed in orange, while the 95 as a grey ribbon. Outlying survival curves are displayed in full, where the pct_show argument details the proportion of points outside of the confidence interval for a survival curve to be deemed as an outlier.

Examples

# NOT RUN {
data(prevsim)

# }
# NOT RUN {
prev_obj <- prevalence(Surv(time, status) ~ age(age) + sex(sex) +
                       entry(entrydate) + event(eventdate),
                       data=prevsim, num_years_to_estimate = c(5, 10),
                       population_size=1e6, start = "2005-09-01",
                       num_reg_years = 8, cure = 5)

survobj <- survfit(prev_obj, newdata=list(age=65, sex=0))

plot(survobj)

plot(survobj, pct_show=0)  # Display curves with any outlying points
plot(survobj, pct_show=0.5)  # Display curves with half outlying points
plot(survobj, pct_show=0.99)  # Display curves with nearly all outlying points
# }
# NOT RUN {
# }