search

plotly / plotly.R

An interactive graphing library for R
https://plotly-r.com
Other
2.55k stars 625 forks source link

Implement geom_GeomConfint() from ggsurvplot in plotly for plotting survival curves with confidence intervals #1404

Closed rvenghat closed 5 years ago

rvenghat commented 5 years ago

I'm currently working on converting survival curves plotted by ggsurvplot to a plotly chart. However it does not plot the confidence intervals provided by ggsurv. The following warning was generated when i tried to plot it. Warning in geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) : geom_GeomConfint() has yet to be implemented in plotly. If you'd like to see this geom implemented, Please open an issue with your example code at https://github.com/ropensci/plotly/issues

This is the code to generate the plot using ggsurvplot

p<-ggsurvplot( survfit(res), xlab = "Chargeoff Time (Months)", palette = "#2E9FDF", data = final_data, ggtheme = theme_minimal(), ylab = "Loan Survival Probablity", )

This is to generate the same plot using plotly

plotly::ggplotly(p$plot)

Can this be implemented?

cpsievert commented 5 years ago

Added to #566, but quite frankly, there are other extension packages that will likely take priority.

If you like to take a stab at providing a ggplotly plug-in yourself, see https://plotly-book.cpsievert.me/translating-custom-ggplot2-geoms.html