Usage
plotqtplot.lmscreg(fitted.values, object, newdata = NULL, percentiles = object@misc$percentiles, lp = NULL, add.arg = FALSE, y = if (length(newdata)) FALSE else TRUE, spline.fit = FALSE, label = TRUE, size.label = 0.06, xlab = NULL, ylab = "", pch = par()$pch, pcex = par()$cex, pcol.arg = par()$col, xlim = NULL, ylim = NULL, llty.arg = par()$lty, lcol.arg = par()$col, llwd.arg = par()$lwd, tcol.arg = par()$col, tadj = 1, ...)
Arguments
fitted.values
Matrix of fitted values.
object
A VGAM quantile regression model, i.e.,
an object produced by modelling functions such as vglm
and vgam
with a family function beginning with
"lms."
, e.g., lms.yjn
.
newdata
Data frame at which predictions are made.
By default, the original data are used.
percentiles
Numerical vector with values between 0 and 100
that specify the percentiles (quantiles).
The default is to use the percentiles when fitting the model.
For example, the value 50 corresponds to the median.
lp
Length of percentiles
.
add.arg
Logical. Add the quantiles to an existing plot?
y
Logical. Add the response as points to the plot?
spline.fit
Logical. Add a spline curve to the plot?
label
Logical. Add the percentiles (as text) to the plot?
size.label
Numeric. How much room to leave at the RHS for the label.
It is in percent (of the range of the primary variable).
xlab
Caption for the x-axis. See par
. ylab
Caption for the x-axis. See par
. pch
Plotting character. See par
. pcex
Character expansion of the points.
See par
. pcol.arg
Color of the points.
See the col
argument of par
. xlim
Limits of the x-axis. See par
. ylim
Limits of the y-axis. See par
. llty.arg
Line type. Line type.
See the lty
argument of par
. lcol.arg
Color of the lines.
See the col
argument of par
.
llwd.arg
Line width.
See the lwd
argument of par
.
tcol.arg
Color of the text
(if label
is TRUE
).
See the col
argument of par
.
tadj
Text justification.
See the adj
argument of par
.
...
Arguments passed into the plot
function
when setting up the entire plot. Useful arguments here include
main
and las
.