daniel_plot_hn: Daniel's plot (half-normal)

In adas.utils: Design of Experiments and Factorial Plans Utilities

Daniel's plot (half-normal)

Description

Given a non-replicated model of a factorial plan, this function provides a half-normal plot of the effects of the model, labeling the main n effects.

Usage

daniel_plot_hn(model, label_n = 6, line.p = c(0, 0.4), ...)

Arguments

model	a linear model
label_n	plot the labels of the highest n values
line.p	vector of quantiles to use when fitting the Q-Q line, defaults defaults to 0.25 that corresponds to c(0.25, 0.75) on the full set of quantiles. If you pass a vector of two elements (first MUST be 0), then the line is fitted through the origin and up to 1 minus the second element quantile
...	further arguments to gghalfnorm::gghalfnorm()

Value

a half-normal plot (GGPlot2 object) with the effects of the model

See Also

gghalfnorm::gghalfnorm()

Examples

daniel_plot_hn(lm(Y~A*B*C*D, data=filtration))

adas.utils documentation built on Feb. 27, 2026, 5:08 p.m.