Univariate_CGF_plot {PlotNormTest}R Documentation

Graphical plots to assess multivariate univarite assumption of data.

Description

Plots the empirical third/fourth derivatives of cumulant generating function together with confidence probability region. Indication of non-normality is either violation of probability bands or curves with high slope.

Usage

dhCGF_plot1D(x, alpha = 0.05, method)

Arguments

x

Univariate data

alpha

Significant level (default is .05)

method

string, "T3" used the third derivatives, and "T4" uses the fourth derivatives.

Value

Plots

References

Ghosh S (1996). “A New Graphical Tool to Detect Non-Normality.” Journal of the Royal Statistical Society: Series B (Methodological), 58(4), 691-702. doi:10.1111/j.2517-6161.1996.tb02108.x.

Examples

set.seed(123)
x <- rnorm(100)
dhCGF_plot1D(x, method = "T3")
dhCGF_plot1D(x, method = "T4")


[Package PlotNormTest version 1.0.1 Index]