# NOT RUN {
if (require(mosaicData)) {
gf_step( births ~ date, data = Births78, color = ~wday)
}
# Roll your own Kaplan-Meier plot
if (require(survival) && require(broom)) {
# fit a survival model
surv_fit <- survfit(coxph(Surv(time, status) ~ age + sex, lung))
surv_fit
# use broom::tidy() to create a tidy data frame for plotting
surv_df <- tidy(surv_fit)
head(surv_df)
# now create a plot
surv_df %>%
gf_step(estimate ~ time) %>%
gf_ribbon(conf.low + conf.high ~ time, alpha = 0.2)
}
# }
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