plotBRBVS: Plot Results of BRBVS Algorithm

In BRBVS: Variable Selection and Ranking in Copula Survival Models Affected by General Censoring Scheme

Plot Results of BRBVS Algorithm

Description

This function takes an object containing the results of the BRBVS algorithm and plots the active features against their relative frequencies for the two time to events.

Usage

plotBRBVS(object, ...)

Arguments

object	An object containing the results of the BRBVS algorithm. Expected to contain matrices mtx.act1E and mtx.act2E for feature names, vectors freq.rel1E and freq.rel2E for relative frequencies, and additional elements Namecondings, metric, copula, margins for feature decoding and plot annotations.
...	Additional arguments to be passed to plotting functions.

Value

A ggplot object representing the BRBVS algorithm results. Features are displayed on the x-axis and their relative frequencies on the y-axis. The plot is split into two facets for each survival.

Examples

############################
# Toy Example
############################
BRBVS_object <- list(
mtx.act1E = c("z2", "z1", "0", "0"),
scores1E = c(20, 1, 1),
freq.rel1E = c(1, 1, 1, 1),
mtx.act2E = c("z2", "z1", "0", "0"),
scores2E = c(20, 1, 1),
freq.rel2E = c(1, 1, 1, 1),
metric = "FIM",
kmax = 4,
copula = "C0",
margins = c("PO", "PO"),
tau = 0.5,
Namecondings = matrix(
 c("z1", "z1", "z2", "z2", "z3", "z3", "z4", "z4", "z5", "z5", "z6", "z6"),
 nrow = 6, ncol = 2, byrow = TRUE,
 dimnames = list(NULL, c("Features", "Code"))
)
)

class(BRBVS_object) <- "BRBVS"
plotBRBVS(BRBVS_object)

BRBVS documentation built on June 27, 2024, 5:13 p.m.