ggforest: Forest Plot for Cox Proportional Hazards Model

In survminer: Drawing Survival Curves using 'ggplot2'

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)

survminer documentation built on Oct. 30, 2024, 5:06 p.m.