Plot Function for geomorph
# S3 method for procD.lm
plot(
x,
type = c("diagnostics", "regression", "PC"),
outliers = FALSE,
predictor = NULL,
reg.type = c("PredLine", "RegScore"),
...
)plot object (from procD.lm)
Indicates which type of plot, choosing among diagnostics,
regression, or principal component plots. Diagnostic plots are similar to
lm diagnostic plots, but for multivariate data. Regression plots
plot multivariate dispersion in some fashion against predictor values. PC plots
project data onto the eigenvectors of the covariance matrix for fitted values.
Logical argument to include outliers plot, if diagnostics are performed
An optional vector if "regression" plot type is chosen,
and is a variable likely used in procD.lm.
This vector is a vector of covariate values equal to the number of observations.
If "regression" is chosen for plot type, this argument indicates whether a prediction line (Predline) plot, or regression score (RegScore) plotting is performed.
other arguments passed to plot (helpful to employ
different colors or symbols for different groups). See
plot.default and par
An object of class "plot.procD.lm" is a list with components that can be used in other plot functions, such as the type of plot, points, a group factor, and other information depending on the plot parameters used.