dfplot2: Display fitted distribution function

In obreschkow/dftools: Fitting distribution functions such as galaxy mass functions

Description

This function displays a one-dimensional distribution function fitted using dffit.

Usage

dfplot2(
  survey,
  xlab = "Observable x1",
  ylab = "Observable x2",
  xlim = NULL,
  ylim = NULL,
  p.ref = NULL,
  xpower10 = TRUE,
  ypower10 = TRUE,
  show.data = TRUE,
  show.data.err = TRUE,
  show.gdf = TRUE,
  show.gdf.contours = TRUE,
  show.scd.contours = TRUE,
  contour.levels = c(0.5, 0.2, 0.1),
  col.data = "black",
  cex.data = 0.5,
  pch.data = 20,
  col.data.err = "#00000030",
  lwd.data.err = 1,
  lty.data.err = 1,
  col.gdf = "blue",
  col.gdf.contours = col.gdf,
  lwd.gdf.contours = 1,
  lty.gdf.contours = 2,
  gamma.gdf = 0.2,
  col.scd.contours = "purple",
  lwd.scd.contours = 1,
  lty.scd.contours = 1,
  col.ref.contours = "red",
  lwd.ref.contours = 1,
  lty.ref.contours = 2,
  margins = c(5.1, 4.1, 4.1, 2.1)
)

Arguments

survey	List produced by dffit
xlab, ylab	axis labels
xlim, ylim	2-element vectors with plotting ranges
p.ref	Optional vector of parameters of a reference mdeol to be displayed.
xpower10	If TRUE, the 1st model argument is elevated to the power of 10 in the plots.
ypower10	If TRUE, the 2nd model argument is elevated to the power of 10 in the plots.
show.data	Logical flag to show/hide the observed data.
show.data.err	Logical flag to show/hide the measurement errors of the
show.gdf	Logical flag to show/hide the best fitting model of the generative distribution function as gradual shading.
show.gdf.contours	Logical flag to show/hide the best fitting model of the generative distribution function as iso-contours.
show.scd.contours	Logical flag to show/hide the source count density (for data with no measurement errors) predicted by the best fitting model.
contour.levels	Vector specifying the fractions of the integrated densities contained inside the contours of the gdf and scd.
col.data	Color (see plot) of data points.
cex.data	Size (see plot) of data points.
pch.data	Point type (see plot) of data points.
col.data.err	Color (see plot) of error ellipses of data.
lwd.data.err	Line width (see plot) of error ellipses of data.
lty.data.err	Line type (see plot) of error ellipses of data.
col.gdf	Color (see plot) of best fitting generative distribution function.
col.gdf.contours	Color (see plot) of best fitting generative distribution function contours.
lwd.gdf.contours	Line width (see plot) of best fitting generative distribution function contours.
lty.gdf.contours	Line type (see plot) of best fitting generative distribution function contours.
gamma.gdf	Scalar value >0 specifying the brightness-scale of the best fitting generative distribution function.
col.scd.contours	Color (see plot) of the source count density contours predicted by the best fitting model.
lwd.scd.contours	Line width (see plot) of the source count density contours predicted by the best fitting model.
lty.scd.contours	Line type (see plot) of the source count density contours predicted by the best fitting model.
col.ref.contours	Color (see plot) of the reference model contours specified by p.ref.
lwd.ref.contours	Line width (see plot) of the reference model contours specified by p.ref.
lty.ref.contours	Line type (see plot) of the reference model contours specified by p.ref.
margins	Margins (bottom,left,top,right)

Value

Returns the input list survey.

Author(s)

Danail Obreschkow

See Also

For an full example of dfplot2 run dfexample(4).

obreschkow/dftools documentation built on June 25, 2021, 10:45 p.m.