plotvgam {VGAM} | R Documentation |
Component functions of a vgam-class
object can be plotted
with plotvgam()
. These are on the scale of the linear/additive
predictor.
plotvgam(x, newdata = NULL, y = NULL, residuals = NULL, rugplot = TRUE, se = FALSE, scale = 0, raw = TRUE, offset.arg = 0, deriv.arg = 0, overlay = FALSE, type.residuals = c("deviance","working","pearson","response"), plot.arg = TRUE, which.term = NULL, which.cf = NULL, control = plotvgam.control(...), varxij = 1, ...)
x |
A fitted VGAM object, e.g., produced by
|
newdata |
Data frame. May be used to reconstruct the original data set. |
y |
Unused. |
residuals |
Logical. If |
rugplot |
Logical. If |
se |
Logical. If |
scale |
Numerical. By default, each plot will have its own
y-axis scale. However, by specifying a value, each plot's y-axis
scale will be at least |
raw |
Logical. If |
offset.arg |
Numerical vector of length r.
These are added to the component functions. Useful for
separating out the functions when |
deriv.arg |
Numerical. The order of the derivative.
Should be assigned an small
integer such as 0, 1, 2. Only applying to |
overlay |
Logical. If |
type.residuals |
if |
plot.arg |
Logical. If |
which.term |
Character or integer vector containing all
terms to be
plotted, e.g., |
which.cf |
An integer-valued vector specifying which linear/additive predictors are to be plotted. The values must be from the set {1,2,...,r}. By default, all are plotted. |
control |
Other control parameters. See
|
... |
Other arguments that can be fed into
|
varxij |
Positive integer.
Used if |
In this help file M is the number of linear/additive predictors, and r is the number of columns of the constraint matrix of interest.
Many of plotvgam()
's options can be found in
plotvgam.control
, e.g., line types, line widths,
colors.
The original object, but with the preplot
slot of the object
assigned information regarding the plot.
While plot(fit)
will work if class(fit)
is "vgam"
, it is necessary to use plotvgam(fit)
explicitly otherwise.
plotvgam()
is quite buggy at the moment.
Thomas W. Yee
Yee, T. W. and Wild, C. J. (1996) Vector generalized additive models. Journal of the Royal Statistical Society, Series B, Methodological, 58, 481–493.
Documentation accompanying the VGAM package at http://www.stat.auckland.ac.nz/~yee contains further information and examples.
vgam
,
plotvgam.control
,
predict.vgam
,
vglm
.
coalminers = transform(coalminers, Age = (age - 42) / 5) fit = vgam(cbind(nBnW,nBW,BnW,BW) ~ s(Age), binom2.or(zero = NULL), coalminers) ## Not run: par(mfrow = c(1,3)) plot(fit, se = TRUE, ylim = c(-3,2), las = 1) plot(fit, se = TRUE, which.cf = 1:2, lcol = "blue", scol = "orange", ylim = c(-3,2)) plot(fit, se = TRUE, which.cf = 1:2, lcol = "blue", scol = "orange", overlay = TRUE) ## End(Not run)