R: Plot of quantile regression for speed calibrations

rqPlot {diveMove} | R Documentation

## Plot of quantile regression for speed calibrations

### 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 spluque@gmail.com

### See Also

`diveStats`

[Package diveMove version 1.5.2 Index]