forestplot_eumelareg: Forest Plot for Cox Proportional Hazards Model in EuMelaReg...

forestplot_eumelaregR Documentation

Forest Plot for Cox Proportional Hazards Model in EuMelaReg style

Description

This code generates a forest plot from a coxph model.

Usage

forestplot_eumelareg(
  fit,
  data = NULL,
  vars = NULL,
  main = "Hazard ratio for disease progression or death (95% CI)",
  y_breaks = NULL,
  cpositions = c(0, 0.1, 0.3),
  point_size = 4,
  fontsize = 1,
  line_size = 0.9,
  vjust_text = 1.2,
  subset = NULL,
  refLabel = "reference",
  noDigits = 2,
  varnames = NULL,
  ylim = NULL
)

Arguments

fit

an object of class coxph or a list containing a mipo object and a list with number patients for each factor level

data

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

vars

variables that were used in the coxph model

main

title of the plot.

y_breaks

argument to supply manual y_breaks as a numerical vector. Default is NULL and breaks are set automatically within the function.

cpositions

relative positions of first three columns in the OX scale.

point_size

Size of mean points.

fontsize

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

line_size

Size of errorbar line.

vjust_text

vertical adjustment of text containing information about events, global pvalue, AIC and concordance index

subset

Display only specified variables as a subset of cox regression. If multivariable cox model was calculated the results shown are adjusted for all input variables but only the specified subset will be displayed.

refLabel

label for reference levels of factor variables.

noDigits

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

varnames

Character vector specifying rownames of the table (empty columns should be named with "").

ylim

argument to supply manual y limits as numerical vector of length 2. Default is NULL and limits are set automatically within the function.


MBender1992/emR documentation built on Feb. 18, 2025, 9:21 a.m.