Produce a survival curve plot and number-at-risk table using `survminer::ggsurvplot`

and `finalfit`

conventions.

surv_plot(.data, dependent, explanatory, ...)

.data | Dataframe. |
---|---|

dependent | Character vector of length 1: Survival object of the form |

explanatory | Character vector of max length 2: quoted name(s) of explanatory variables. |

... | Arguments passed to |

Returns a table and plot produced in `ggplot2`

.

Other finalfit plot functions: `coefficient_plot`

,
`ff_plot`

, `hr_plot`

,
`or_plot`

library(finalfit) library(dplyr) # Survival plot data(colon_s) explanatory = c("perfor.factor") dependent = "Surv(time, status)" colon_s %>% surv_plot(dependent, explanatory, xlab="Time (days)", pval=TRUE, legend="none")