plot_forest.list: plot_forest.list

In Coxmos: Cox MultiBlock Survival

plot_forest.list

Description

Run the function "plot_forest" for a list of models. More information in "?plot_forest".

Usage

plot_forest.list(
  lst_models,
  title = "Hazard Ratio",
  cpositions = c(0.02, 0.22, 0.4),
  fontsize = 0.7,
  refLabel = "reference",
  noDigits = 2
)

Arguments

lst_models	List of Coxmos models.
title	Character. Forest plot title (default: "Hazard Ratio").
cpositions	Numeric vector. Relative positions of first three columns in the OX scale (default: c(0.02, 0.22, 0.4)).
fontsize	Numeric. Elative size of annotations in the plot (default: 0.7).
refLabel	Character. Label for reference levels of factor variables (default: "reference").
noDigits	Numeric. Number of digits for estimates and p-values in the plot (default: 2).

Value

A ggplot object per model representing the forest plot. The plot visualizes the hazard ratios and their confidence intervals for each variable or component from the Coxmos model.

Author(s)

Pedro Salguero Garcia. Maintainer: [e-mail]

Examples

data("X_proteomic")
data("Y_proteomic")
X <- X_proteomic[,1:50]
Y <- Y_proteomic
splsicox.model <- splsicox(X, Y, n.comp = 2, penalty = 0.5, x.center = TRUE, x.scale = TRUE)
splsdrcox.model <- splsdrcox_penalty(X, Y, n.comp = 2, penalty = 0.5,
x.center = TRUE, x.scale = TRUE)
lst_models = list("sPLSICOX" = splsicox.model, "sPLSDRCOX" = splsdrcox.model)
plot_forest.list(lst_models)

Coxmos documentation built on April 4, 2025, 12:20 a.m.