rqPlot: Plot of quantile regression for speed calibrations

In diveMove: Dive analysis and calibration

Description

Plot of quantile regression for assessing quality of speed calibrations

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.

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 [e-mail]

See Also

diveStats

diveMove documentation built on May 2, 2019, 4:47 p.m.