Plot of quantile regression for speed calibrations

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Description

Plot of quantile regression for assessing quality of speed calibrations

Usage

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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.

Details

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.

Author(s)

Sebastian P. Luque spluque@gmail.com

See Also

diveStats

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