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 |
method |
string, |
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]