plot.testSlopes

Additional arguments that are ignored currently.

Optional. Create colored polygon for significant regions.

shade

Optional. Color of the shaded area. Default transparent pink.

plot.testSlopes is a method for the
generic function plot. It has been revised so that it creates a plot
illustrating the marginal effect, using the
Johnson-Neyman interval calculations to highlight the
"statistically significantly different from zero" slopes.

A collection of functions for ease of
    presentation and interpretation of regression analysis.
    These functions are used to produce the statistics lectures
    in http://pj.freefaculty.org/guides. There
    are functions to explore the effect (or lack thereof) from
    "mean centering," "residual centering", and standardization.
    The vignette "rockchalk" offers a fairly comprehensive overview.
    The vignette "Rstyle" has advice about coding in R.
    See the outreg function for a convenient way to generate
    regression models for reports. For nice, easy to use pictures,
    see plotSlopes, plotCurves, plotPlane.
    The package title "rockchalk" refers to our school motto,
    "Rock Chalk Jayhawk, Go K.U.".

plot.testSlopes: Plot testSlopes objects

Description

Usage

Arguments

Value