Usage
rqPlot(rddepth, speed, z, contours, rqFit, main="qtRegression",
xlab="rate of depth change (m/s)", ylab="speed (m/s)",
colramp=colorRampPalette(c("white", "darkblue")),
col.line="red", cex.pts=1)Arguments
speed
numeric vector with speed in m/s.
rddepth
numeric vector with rate of depth change.
z
list with the bivariate kernel density estimates (1st
component the x points of the mesh, 2nd the y points, and 3rd the
matrix of densities).
contours
list with components: pts which should be a
matrix with columns named x and y, level a
number indicating the contour level the points in pts
correspond to.
rqFit
object of class rq representing a quantile
regression fit of rate of depth change on mean speed.
main
character: string with title prefix to include in ouput
plot.
xlab, ylab
character vectors with axis labels.
colramp
function taking an integer n as an argument and
returning n colors.
col.line
color to use for the regression line.
cex.pts
numeric: value specifying the amount by which to
enlarge the size of points.