prep_kfuncs_results: Preparing results for K functions

In JeremyGelb/spNetwork: Spatial Analysis on Network

Preparing results for K functions

Description

Prepare the final results at the end of the execution of the main functions calculating K or G functions.

Usage

prep_kfuncs_results(
  k_vals,
  g_vals,
  all_values,
  conf_int,
  calc_g_func,
  cross,
  dist_seq,
  return_sims
)

Arguments

k_vals	a numeric vector with the real K values
g_vals	a numeric vector with the real g values
all_values	a list with the simulated K and G values that must be arranged.
conf_int	the confidence interval parameter.
calc_g_func	a boolean indicating if the G function has been calculated.
cross	a boolean indicating if we have calculated a simple (FALSE) or a cross function.
dist_seq	a numeric vector representing the distance used for calculation
return_sims	a boolean, indicating if the simulations must be returned

Value

A list with the following values :

• plotk: A ggplot2 object representing the values of the k-function

• plotg: A ggplot2 object representing the values of the g-function

• values: A DataFrame with the values used to build the plots

Examples

# no example, this is an internal function

JeremyGelb/spNetwork documentation built on Jan. 18, 2025, 3:44 p.m.