plot_forest.list {Coxmos}

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(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)