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The Quantile form ()
plots a line through a given quantile of the values binned within
each pixel column (or row) of a plot.
The line is optionally smoothed using a configurable kernel and width,
to even out noise from the pixel binning.
Instead of a simple line through a given quantile, it is also
possible to fill the region between two quantiles.
One way to use this is to draw a line estimating a function
y=f(x) (or x=g(y)) sampled by a noisy set of data points
in two dimensions.
Example Quantile plot
Quantile configuration panel
The configuration options are:

Transparency
 Transparency with which components are plotted,
from opaque to invisible.

Quantiles
 Defines the quantile or quantile range of values that should be
marked in each pixel column (or row).
The slider control goes from 0 (minimum in pixel column/row)
to 1 (maximum in pixel column/row), so 0.5 indicates the median.
This control is a doubleslider, so you can drag out a range
of values. If the values are the same as each other, a single
point will be indicated, but if there is a range then the area
between the indicated quantiles will be filled.
The radio buttons let you toggle between using the slider to
set the quantile value(s) or entering them in the text fields.
If the two values are identical, you can leave the second text field blank.

Thickness
 Sets the minimum extent of the markers that are plotted in each
pixel column (or row) to indicate the designated value range. If the
range is zero sized (two bounding quantiles are equal)
this will give the actual thickness of the plotted line.
If the range is nonzero however, the line may be thicker than this in
places according to the quantile positions.

Smoothing
 Configures the smoothing width.
This is the characteristic width of the Kernel
function to be convolved with the density in one dimension
to smooth the quantile function.
You can adjust it using the slider (wider smoothing to the right)
or enter a value in data coordinates explicitly in the text field.
If the smoothed axis is logarithmic, the value is a multiplication factor
rather than an additive increment.

Kernel
 The functional form of the smoothing kernel. The functions listed
refer to the unscaled shape; all kernels are normalised to give a
total area of unity.
The available options are:

square:
Uniform value: f(x)=1, x=0..1

linear:
Triangle: f(x)=1x, x=0..1

epanechnikov:
Parabola: f(x)=1x*x, x=0..1

cos:
Cosine: f(x)=cos(x*pi/2), x=0..1

cos2:
Cosine squared: f(x)=cos^2(x*pi/2), x=0..1

gauss3: Gaussian truncated at 3.0 sigma:
f(x)=exp(x*x/2), x=0..3

gauss6: Gaussian truncated at 6.0 sigma:
f(x)=exp(x*x/2), x=0..6

Horizontal
 Determines whether the trace bins are horizontal or vertical.
If true, there is a y value calculated for each pixel column, and
if false, there is an x value for each pixel row.
Next Previous Up Contents
Next: Label Form
Up: Plot Forms
Previous: Linear Fit Form
TOPCAT  Tool for OPerations on Catalogues And Tables
Starlink User Note253
TOPCAT web page:
http://www.starlink.ac.uk/topcat/
Author email:
m.b.taylor@bristol.ac.uk
Mailing list:
topcatuser@jiscmail.ac.uk