R: Forest Plot for Cox Proportional Hazards Model

ggforest {survminer} | R Documentation

## 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 (przemyslaw.biecek@gmail.com), Fabian Scheipl (fabian.scheipl@gmail.com)

### 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)

[Package survminer version 0.4.1 Index]