Plot of quantile regression for assessing quality of speed calibrations
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)numeric vector with speed in m/s.
numeric vector with rate of depth change.
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).
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.
object of class “rq” representing a quantile regression fit of rate of depth change on mean speed.
character: string with title prefix to include in ouput plot.
character vectors with axis labels.
function taking an integer n as an argument and returning n colors.
color to use for the regression line.
numeric: value specifying the amount by which to enlarge the size of points.
The dashed line in the plot represents a reference indicating a one to one relationship between speed and rate of depth change. The other line represent the quantile regression fit.