Coxmos (version 1.1.2)

plot_forest.list: 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
)

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.

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).

Author

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)