rqPlot: Plot of quantile regression for speed calibrations

In spluque/diveMove: Dive Analysis and Calibration

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

rddepth	numeric vector with rate of depth change.
speed	numeric vector with speed in m/s.
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

spluque/diveMove documentation built on Jan. 27, 2024, 12:43 p.m.