Based on a nonlinear model, the dependent variable of a certain equation is predicted by two independent variable, i.e., .independent_1 and .independent_2 including their higher-order terms.
doSurfaceAnalysis(
.object = NULL,
.alpha = 0.05,
.dependent = NULL,
.independent_1 = NULL,
.independent_2 = NULL,
.n_steps = 100
)
An R object of class cSEMResults resulting from a call to csem()
.
An integer or a numeric vector of significance levels.
Defaults to 0.05
.
Character string. The name of the dependent variable. Defaults to NULL
.
Character string. The name of the first independent variable. Defaults to NULL
.
Character string. The name of the second independent variable. Defaults to NULL
.
Integer. A numeric value giving the number of steps, e.g., in
surface analysis or floodlight analysis the spotlights (= values of .moderator)
between min(.moderator) and max(.moderator) to use. Defaults to 100
.
A list of class cSEMSurface
with a corresponding method for plot()
.
See: plot.cSEMSurface()
.