distance_all_pairwise: computing all within and between facet distances between...

In Sayani07/hakear:

Description

computing all within and between facet distances between quantile categories given quantile data

Usage

distance_all_pairwise(
  sim_panel_quantiles,
  quantile_prob = seq(0.01, 0.99, 0.01),
  dist_ordered = TRUE,
  lambda = 0.67
)

Arguments

sim_panel_quantiles	quantile data
quantile_prob	numeric vector of probabilities with value #'in [0,1] whose sample quantiles are wanted. Default is set to #' "decile" plot
dist_ordered	if categories are ordered
lambda	value of tuning parameter for computing weighted pairwise distances

Value

within and between facet distances

Author(s)

Sayani07

Examples

library(tidyverse)
library(gravitas)
library(parallel)
library(ggplot2)
library(distributional)
sim_panel_data <- sim_panel(
  nx = 2,
  nfacet = 3,
  ntimes = 5,
  sim_dist = distributional
  ::dist_normal(5, 10)
) %>%
  unnest(c(data))
sim_panel_quantiles <-
  compute_quantiles(sim_panel_data
  )

distance_all_pairwise(sim_panel_quantiles, lambda = 0.5)
dist_data <- distance_all_pairwise(sim_panel_quantiles, lambda = 0.7)
# Plot raw distances
ggplot(dist_data, aes(x = 1:9, y = value, colour = dist_type)) +
  geom_line() +
  geom_point()
# Plot transformed distances
ggplot(dist_data, aes(
  x = 1:9, y = trans_value, colour =
    dist_type
)) +
  geom_line() +
  geom_point()

Sayani07/hakear documentation built on Sept. 14, 2021, 10:59 a.m.