ggforest {survminer}

Forest Plot for Cox Proportional Hazards Model

Description

Drawing Forest Plot for Cox proportional hazards model. In two panels the model structure is presented.

Usage

ggforest(
  model,
  data = NULL,
  main = "Hazard ratio",
  cpositions = c(0.02, 0.22, 0.4),
  fontsize = 0.7,
  refLabel = "reference",
  noDigits = 2
)

Arguments

model

an object of class coxph.

data

a dataset used to fit survival curves. If not supplied then data will be extracted from 'fit' object.

main

title of the plot.

cpositions

relative positions of first three columns in the OX scale.

fontsize

relative size of annotations in the plot. Default value: 0.7.

refLabel

label for reference levels of factor variables.

noDigits

number of digits for estimates and p-values in the plot.

Value

returns a ggplot2 object (invisibly)

Author(s)

Przemyslaw Biecek ([e-mail]), Fabian Scheipl ([e-mail])

Examples

require("survival")
model <- coxph( Surv(time, status) ~ sex + rx + adhere,
                data = colon )
ggforest(model)

colon <- within(colon, {
  sex <- factor(sex, labels = c("female", "male"))
  differ <- factor(differ, labels = c("well", "moderate", "poor"))
  extent <- factor(extent, labels = c("submuc.", "muscle", "serosa", "contig."))
})
bigmodel <-
  coxph(Surv(time, status) ~ sex + rx + adhere + differ + extent + node4,
    data = colon )
ggforest(bigmodel)