silverman.plot: Plot p-values along different number of modes.

In jenzopr/silvermantest: Investigate the Number of Modes using Kernel Density Estimates

Description

P-values are obtained using the silverman.test function with the number of modes ranging from kmin to kmax.

Usage

silverman.plot(x, kmin = 1, kmax = 5, alpha = 0.05, adjust = FALSE)

Arguments

x	The vector of data to use for testing.
kmin, kmax	The number of modes.
alpha	Significance level, shown as a dashed line in the resulting plot.
adjust	Perform p-value adjustment in case of k=1 (see Hall and York).

Value

The function does not return anything, but creates a plot.

Examples

silverman.plot(x = c(rpois(n = 50, lambda = 1), rnorm(n = 100, mean = 4)))

jenzopr/silvermantest documentation built on Nov. 4, 2019, 2:39 p.m.