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surv_plot

Plot survival curves with number-at-risk table


Description

Produce a survival curve plot and number-at-risk table using survminer::ggsurvplot and finalfit conventions.

Usage

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

Arguments

.data

Dataframe.

dependent

Character vector of length 1: Survival object of the form Surv(time, status).

explanatory

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

...

Arguments passed to ggsurvplot.

Value

Returns a table and plot produced in ggplot2.

See Also

Other finalfit plot functions: coefficient_plot, ff_plot, hr_plot, or_plot

Examples

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")

finalfit

Quickly Create Elegant Regression Results Tables and Plots when Modelling

v1.0.2
MIT + file LICENCE
Authors
Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]
Initial release

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