plot_steepness: plot steepness density

In EloSteepness: Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores

plot steepness density

Description

plot steepness density

Usage

plot_steepness(x, adjustpar = 1.5, print_numbers = TRUE)

Arguments

x	result from elo_steepness_from_matrix, elo_steepness_from_sequence or davids_steepness
adjustpar	numeric, parameter for smoothing posterior of individual scores
print_numbers	logical, if TRUE (default) print numeric summaries into into the plot and omit them if FALSE

Value

a plot

Examples

data("dommats", package = "EloRating")
m <- dommats$elephants
res <- elo_steepness_from_matrix(m, n_rand = 3, refresh = 0, cores = 2, 
                                 iter = 1000, warmup = 500)
plot_steepness(res)

EloSteepness documentation built on Sept. 21, 2023, 1:06 a.m.