Description Usage Arguments Details Value Author(s) See Also Examples
Displaying the estimated growth charts from a gcrq
fit.
1 2 3 4 5 6  ## S3 method for class 'gcrq'
plot(x, term=NULL, add = FALSE, res = FALSE, conf.level=0, interc=TRUE,
legend = FALSE, select.tau, deriv = FALSE, cv = FALSE, transf=NULL,
lambda0=FALSE, shade=FALSE, overlap=NULL, rug=FALSE, n.points=100,
edf.ylab=NULL, overall.eff=TRUE, grid=NULL, smoos=NULL, split=FALSE, shift=NULL,
type=c("sandw","boot"), ...)

x 
a fitted 
term 
the smooth variable name entering the model via 
interc 
Should the smooth term be plotted along with the intercept (provided it is included in the model)? If the smooth term is a varying coefficient,

add 
logical. If 
res 
logical. If 
conf.level 
logical. If larger than zero, pointwise confidence intervals for the fitted quantile curve are also shown (at the confidence level specified by 
legend 
logical. If 
select.tau 
an optional numeric vector to draw only some of the fitted quantiles. Percentile values or integers 1 to 
deriv 
logical. If 
cv 
logical. If 
transf 
An optional character string (with 
lambda0 
logical. If 
shade 
logical. If 
overlap 
If provided and different from 
rug 
logical. If 
n.points 
numeric. Number of values used to plot the fitted curves. Large values provide smoother curves. 
edf.ylab 
Should the edf value to be reported as y label? If 
overall.eff 
logical. If the smooth term has been called via 
grid 
if provided, a grid of horizontal and vertical lines is drawn. 
smoos 
logical, indicating if the residuals (provided that 
split 
logical. If there are multiple smooth terms and 
shift 
Numerical value to be added to the curve(s) to be plotted. Default is 
type 
If 
... 
Additional graphical parameters: 
Takes a "gcrq" object and diplays the fitted quantile curves. If conf.level
>0 pointwise confidence intervals are also displayed. When the object contains the component cv
, plot.gcrq
can display crossvalidation scores against the lambda values, see argument cv
.
The function simply generates a new plot or adds fitted curves to an existing one.
Vito M. R. Muggeo
1 2 3 4 5 6 7 8 9 10 11 12 13 14  ## Not run:
## use the fits from ?gcrq
#The additive model
plot(o, res=TRUE, col=2, conf.level=.9, shade=TRUE, split=TRUE)
par(mfrow=c(2,2))
plot(m5, select.tau=c(.1,.5,.9), overlap=0.6, legend=TRUE)
plot(m5, grid=list(x=8,y=5), lty=1) #a 8 times 5 grid..
plot(m7, cv=TRUE) #display CV score versus lambda values
plot(m7, res=TRUE, grid=list(x=5, y=8), col=4) #fitted curves at the best lambda value
## End(Not run)

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