plot_pseudobeta.list | R Documentation |
Run the function "plot_pseudobeta" for a list of models. More information in "?plot_pseudobeta".
plot_pseudobeta.list(
lst_models,
error.bar = TRUE,
onlySig = FALSE,
alpha = 0.05,
zero.rm = TRUE,
top = NULL,
auto.limits = TRUE,
selected_variables = NULL,
show_percentage = TRUE,
size_percentage = 3,
title = NULL,
title_size_text = 15,
subtitle = NULL,
subtitle_size_text = 12,
legend.position = "right",
legend_title = "Method",
legend_size_text = 12,
x_axis_size_text = 10,
y_axis_size_text = 10,
label_x_axis_size = 10,
label_y_axis_size = 10,
verbose = FALSE
)
lst_models |
List of Coxmos models. |
error.bar |
Logical. Show error bar (default: TRUE). |
onlySig |
Logical. Compute pseudobetas using only significant components (default: FALSE). |
alpha |
Numeric. Numerical values are regarded as significant if they fall below the threshold (default: 0.05). |
zero.rm |
Logical. Remove variables with a pseudobeta equal to 0 (default: TRUE). |
top |
Numeric. Show "top" first variables with the higher pseudobetas in absolute value. If top = NULL, all variables are shown (default: NULL). |
auto.limits |
Logical. If "auto.limits" = TRUE, limits are detected automatically (default: TRUE). |
selected_variables |
Character. Name of survival model variables to performed a custom selection (default: NULL). |
show_percentage |
Logical. If show_percentage = TRUE, it shows the contribution percentage for each variable to the full model (default: TRUE). |
size_percentage |
Numeric. Size of percentage text (default: 3). |
title |
Character. Plot title (default: NULL). |
title_size_text |
Numeric. Text size for title (default: 15). |
subtitle |
Character. Plot subtitle (default: NULL). |
subtitle_size_text |
Numeric. Text size for subtitle (default: 12). |
legend.position |
Character. Legend position. Must be one of the following: "top", "bottom", "right" or "left (default: "right"). |
legend_title |
Character. Legend title (default: "Method"). |
legend_size_text |
Numeric. Text size for legend title (default: 12). |
x_axis_size_text |
Numeric. Text size for x axis (default: 10). |
y_axis_size_text |
Numeric. Text size for y axis (default: 10). |
label_x_axis_size |
Numeric. Text size for x label axis (default: 10). |
label_y_axis_size |
Numeric. Text size for y label axis (default: 10). |
verbose |
Logical. If verbose = TRUE, extra messages could be displayed (default: FALSE). |
A list containing the following elements per model:
plot
: Depending on the model type, this can either be a single ggplot object visualizing the pseudo-beta coefficients for the original variables in a single block PLS-Cox model, or a list of ggplot objects for each block in a multiblock PLS-Cox model. Each plot provides a comprehensive visualization of the pseudo-beta coefficients, potentially including error bars, significance filtering, and variable contribution percentages.
beta
: A matrix or list of matrices (for multiblock models) containing the computed pseudo-beta coefficients for the original variables. These coefficients represent the influence of each original variable on the survival prediction.
sd.min
: A matrix or list of matrices (for multiblock models) representing the lower bounds of the error bars for the pseudo-beta coefficients.
sd.max
: A matrix or list of matrices (for multiblock models) representing the upper bounds of the error bars for the pseudo-beta coefficients.
Pedro Salguero Garcia. Maintainer: pedsalga@upv.edu.es
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_pseudobeta.list(lst_models = lst_models)
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