Given the effect \(\Delta^TB\in\textbf{R}^{1\times 2}\) of a change \(\Delta\in\textbf{R}^k\) in the vector of covariates \(x\in\textbf{R}^k\) on the linear predictor \(x^TB\in\textbf{R}^{n\times 2}\), it computes the set of points that makes the curves of the field equally spaced.
DeltaB2pc_cat3logit(DeltaB, n = 8, edge = 0.01)DeltaB2pc_cat3logit_dim1(DeltaB, n, edge)
DeltaB2pc_cat3logit_dim2(DeltaB, n, edge)
DeltaB2pc_cat3logit_dim3(DeltaB, n, edge)
DeltaB2pc_ord3logit(DeltaB, alpha, n = 8, edge = 0.01)
A named list with three components:
a character which may be either equal to
"p0" or "pc". The former value ("p0") is taken
when the point is the origin of the curve, whereas
the latter ("pc") means that the point is over the
curve, and the origin should be computed (see
pc2p0).
the filter of the sides where the field originates from.
a list of ternary coordinates.
either a matrix \(\Delta^TB\in\textbf{R}^{1\times 2}\)
or a vector of length 2, if the model is categorical; otherwise
a matrix \(\Delta^TB\in\textbf{R}^{1\times 1}\) or a numeric,
if the model is ordinal.
number of points (curves of the field).
width of the border of the ternary plot.