bcaPrintLarge: Print summary statistics of large mass functions

In dst: Using the Theory of Belief Functions

Print summary statistics of large mass functions

Description

Print summary statistics of large mass functions

Usage

bcaPrintLarge(
  x,
  info_list = "all",
  num_top_mass = 10,
  cut_width_size = 10,
  cut_width_m = 1e-05
)

Arguments

x	A basic chance assignment (see bca).
info_list	="all" statistics to be printed in a vector of characters "all": everything "basic_subset_stat": basic statistics of subsets "comp_subset_stat": more comprehensive statistics of subsets "basic_mass_stat": basic statistics of masses "comp_mass_stat": more comprehensive statistics of masses "basic_joint_stat": basic statistics of masses vs subsets "comp_joint_stat": more comprehensive statistics of masses vs subsets
num_top_mass	= 10 number of top masses to be printed
cut_width_size	width of a cut among subset sizes
cut_width_m	width of a cut among masses

Value

• table of basic and more comprehensive statistics of subsets

• table of basic and more comprehensive statistics of masses

• table of basic and more comprehensive statistics of masses vs subsets

Author(s)

Peiyuan Zhu

Examples

 if (requireNamespace("tidyverse", quietly = TRUE) ) { 
 ## library(tidyverse)
x <- bca(tt = matrix(c(1,1,0,1,1,1), nrow = 2, byrow = TRUE), m = c(0.8, 0.2), cnames = c(1,2,3))
bcaPrintLarge(x)
}

dst documentation built on Sept. 11, 2024, 7:05 p.m.