reservr (version 0.0.2)

blended_transition: Transition functions for blended distributions

Description

Transition functions for blended distributions

Usage

blended_transition(x, u, eps, .gradient = FALSE, .extend_na = FALSE)
blended_transition_inv(x, u, eps, .component)

Value

blended_transition returns a matrix with length(x) rows and length(u) + 1 columns containing the transformed values for each of the blending components. If .gradient is TRUE, an attribute "gradient" is attached with the same dimensions, containing the derivative of the respective transition component with respect to x.

blended_transition_inv returns a vector with length(x) values containing the inverse of the transformed values for the .componentth blending component.

Arguments

x

Points to evaluate at

u

Sorted vector of blending thresholds, or rowwise sorted matrix of blending thresholds

eps

Corresponding vector or matrix of blending bandwidths. Must be positive and the same dimensions as u, or scalar. No rowwise blending regions (u - eps, u + eps) may overlap.

.gradient

Also evaluate the gradient with respect to x?

.extend_na

Extend out-of range transitions by the last in-range value (i.e. the corresponding u) or by NA?

.component

Component index (up to length(u) + 1) to invert.

Examples

library(ggplot2)
xx <- seq(from = 0, to = 20, length.out = 101)
blend_mat <- blended_transition(xx, u = 10, eps = 3, .gradient = TRUE)
ggplot(
  data.frame(
    x = rep(xx, 2L),
    fun = rep(c("p", "q"), each = length(xx)),
    y = as.numeric(blend_mat),
    relevant = c(xx <= 13, xx >= 7)
  ),
  aes(x = x, y = y, color = fun, linetype = relevant)
) %+%
  geom_line() %+%
  theme_bw() %+%
  theme(
    legend.position = "bottom", legend.box = "horizontal"
  ) %+%
  guides(color = guide_legend(direction = "horizontal", title = ""), linetype = guide_none()) %+%
  scale_linetype_manual(values = c("TRUE" = 1, "FALSE" = 3))

ggplot(
  data.frame(
    x = rep(xx, 2L),
    fun = rep(c("p'", "q'"), each = length(xx)),
    y = as.numeric(attr(blend_mat, "gradient")),
    relevant = c(xx <= 13, xx >= 7)
  ),
  aes(x = x, y = y, color = fun, linetype = relevant)
) %+%
  geom_line() %+%
  theme_bw() %+%
  theme(
    legend.position = "bottom", legend.box = "horizontal"
  ) %+%
  guides(color = guide_legend(direction = "horizontal", title = ""), linetype = guide_none()) %+%
  scale_linetype_manual(values = c("TRUE" = 1, "FALSE" = 3))