gsaot (version 1.1.0)

plot_separations: Plot optimal transport local separations

Description

Plot Optimal Transport based local separations for each partition using ggplot2 package. If provided, it plots also the uncertainty estimates.

Usage

plot_separations(x, ranking = NULL, wb_all = FALSE, ...)

Value

A patchwork object that, if called, will print.

Arguments

x

An object generated by ot_indices, ot_indices_1d, or ot_indices_wb.

ranking

An integer with absolute value less or equal than the number of inputs. If positive, select the first ranking inputs per importance. If negative, select the last ranking inputs per importance.

wb_all

(default FALSE) Logical that defines whether or not to plot the Advective and Diffusive components of the Wasserstein-Bures indices.

...

Further arguments passed to or from other methods.

Examples

N <- 1000

mx <- c(1, 1, 1)
Sigmax <- matrix(data = c(1, 0.5, 0.5, 0.5, 1, 0.5, 0.5, 0.5, 1), nrow = 3)

x1 <- rnorm(N)
x2 <- rnorm(N)
x3 <- rnorm(N)

x <- cbind(x1, x2, x3)
x <- mx + x %*% chol(Sigmax)

A <- matrix(data = c(4, -2, 1, 2, 5, -1), nrow = 2, byrow = TRUE)
y <- t(A %*% t(x))

x <- data.frame(x)

M <- 25

# Get sensitivity indices
sensitivity_indices <- ot_indices(x, y, M)
plot_separations(sensitivity_indices)