Displaying the estimated growth charts from a gcrq fit.
Usage
## S3 method for class 'gcrq'
plot(x, term, add = FALSE, y = FALSE, legend = FALSE, select.tau,
deriv = FALSE, cv = FALSE, transf=NULL, lambda0=FALSE,...)
Arguments
x
a fitted "gcrq" object.
term
the smooth variable name entering the model via ps. Relevant fitted quantile curves will be plotted.
It may be missing if the model includes a single smooth term.
add
logical. If TRUE the fitted quantile curves are added on the current plot.
y
logical. If TRUE raw data are also displayed, provided that the object has been called with the argument y=TRUE.
legend
logical. If TRUE a legend is drawn on on the right side of the fitted curves.
select.tau
an optional numeric vector to draw only some of the fitted quantiles. Percentile values or integers 1 to length(tau) may be supplied.
deriv
logical. If TRUE the first derivative of the curve is displayed.
cv
logical. If TRUE and the "gcrq" object contains the matrix cv, then
the cross-validation scores against the lambda values are plotted.
transf
An optional character string (with "y" as argument) meaning a function to apply to the response variable
before plotting. E.g. "(exp(y)-0.1)". See argument "transf" in gcrq().
lambda0
logical. If cv=TRUE, should the CV plot include also the first CV value? Usually the first CV value is at lambda=0,
and typically it is much bigger than the other values making the plot not easy to read. Default to FALSE to ignore the
first CV value in the plot.
...
Additional graphical parameters, such as ‘xlab’, ‘ylab’, and ‘xlim’; 'lwd', 'col' and 'lty' for the fitted quantile lines; ‘cex’ for
the legend (if legend=TRUE); 'cex.p', 'col.p', and 'pch.p' for the points (if y=TRUE).
Details
Takes a "gcrq" object and diplays the fitted quantile curves. When the object contains the component cv,
plot.gcrq can display cross-validation scores against the lambda values, see argument cv.
Value
The function simply generates a new plot or adds fitted curves to an existing one.
providing 
.