You’ll will also learn how to put the legend inside the plot. Now, ggsurvplot() plots a stepped confidence interval when conf.int = TRUE (#65). risk.table.y.text.col = T, # colour risk table text annotations. For example, if fun = “event”, then ylab will be “Cumulative event”.

Add Lines or Points to a Survival Plot Description. ggsurvplot_example.R ggsurv <-ggsurvplot(fit, # survfit object with calculated statistics. Usage ## S3 method for class 'survfit': lines(x, type="s", mark=3, col=1, lty=1, lwd=1, mark.time=TRUE , xscale=1, firstx=0, firsty=1, xmax, fun, conf.int=FALSE, ...) ## S3 method for class 'survfit': points(x, ...) Arguments. Change the font appearance (text size, color and face) of titles and caption.

Complete themes Source: R/theme-defaults.r. Often used to add the expected survival curve(s) to a Kaplan-Meier plot generated with plot.survfit. This blog presents main features of core ggsurvplot() ... , # customize plot and risk table with a theme. We’ll show examples of how to move the legend to the bottom or to the top side of the plot. pval = TRUE, # show p-value of log-rank test. risk.table = TRUE, # show risk table. Reverse legend order. Change the legend title and text labels; Modify the legend position. ggtheme.Rd. I am not sure what you mean by "list of data.frame", as a data-frame structure is already, technically, a list.All that you require is a single data-frame with your time, outcome, and test variables. These are complete themes which control all non-data display. survplot This package provides functions to complement the "survival" package, which is included in the standard R distribution. Split a long title into two lines or more using \n as a text separator. data = BRCAOV.survInfo, # data used to fit survival curves. ggsurvplot() updated for compatibility with the future version of ggplot2 (v2.2.0) (#68) ylab is now automatically adapted according to the value of the argument fun. There are also various ways of doing what you want. The current version is 0.0.7 (2012-04-04).


Add titles and subtitles by using either the function ggtitle() or labs(). Use theme() if you just need to tweak the display of an existing theme. Add caption to a ggplot and change the position. In the default setting of ggplot2, the legend is placed on the right of the plot.