RATS 10.1
RATS 10.1

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GCONTOUR Instruction

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GCONTOUR( options )   hfield vfield

Generates a high-resolution contour plot.

Parameters

hfield, vfield

horizontal and vertical field (only with SPGRAPH with HFIELDS and/or VFIELDS options). You can now use the COL and ROW options instead.

Options Specific to GCONTOUR

The following is a list of the options for GCONTOUR. Many of these are identical to options on SCATTER, while some are unique to GCONTOUR. The options specific to GCONTOUR are described in detail here. See SCATTER for details on the other options.

 

X=VECTOR of X grid values [required]

Y=VECTOR of Y grid values [required]

F=RECTANGULAR array supplying function values [required]

Use the X option to supply a vector with the grid values for the x-axis, and the Y option to supply a vector with grid values for the y-axis. Use the F option to supply a RECTANGULAR array with dimensions , containing the function values for each x,y grid point. For example, F(1,2) should contain the function value associated with the grid point given by X(1),Y(2). X and Y are usually created using the %SEQA function or EWISE instruction. The F array is usually set using EWISE.

 

NUMBER=number of contour lines [30]

CONTOURS=VECTOR of specific “f” values

You can use CONTOURS to supply a VECTOR containing the specific function values at which you want contour lines to be plotted. Otherwise, RATS will draw the number of contour lines specified by the NUMBER option, with the contour values chosen to provide a roughly equal distance between each value.

Options Common to GCONTOUR and SCATTER

[AXIS]/NOAXIS

Draw horizontal axis if Y=0 is within graph bounds

COL=column number

Column position in an SPGRAPH array

EXTEND=NONE/VERTICAL/HORIZONTAL/[BOTH]

Extend grid lines across graph

FOOTER=footer label

Adds a footer label below graph

FRAME=[FULL]/HALF/NONE/BOTTOM

Controls frame around the graph

HEADER=string

Adds a header to the top of the graph

HEIGHT=value

Sets the height of the graph

HGRID=VECTOR for grid

Sets grid for horizontal axis

HLABEL=scale label

Adds a label to the horizontal axis

HLOG=base for log scale

Base for log scale graphs

HMAX=value for right

Sets the maximum x-axis value

HMIN=value for left

Sets the minimum x-axis value

HPICTURE="picture code"

Picture code for formatting x-axis label numbers

HSCALE=[LOWER]/UPPER/BOTH/NONE

Placement of x-axis scale

HSHADE=RECTANGULAR for shading zones

Shading zones for the y-axis

HTICKS=tick limit

Maximum number of tick marks on x-axis

LINES=RECTANGULAR with slope/intercept

Draw lines given slope/intercept

ROW=row number

Row position in an SPGRAPH array

SUBHEAD=string

Subheader string for graph

VGRID=VECTOR for grid

Sets grid for vertical axis

VLABEL=label

Label for the vertical axis

VLOG=base for log scale

Selects a log scale for y-axis

VMAX=value for upper

Sets maximum y-axis value

VMIN=value for lower

Sets minimum y-axis value

VPICTURE="picture code"

Picture code for formatting y-axis label numbers

VSCALE=[LEFT]/RIGHT/BOTH/NONE

Placement of vertical scale

VSHADE=RECTANGULAR for shading zones

Shading zones for the y-axis

VTICKS=number

Maximum number of ticks on the y-axis

WIDTH=value

Sets the width of the graph

WINDOW=string

Title for graph window

XLABELS=VECT[STRING]

Strings for labeling x-axis

Example

This creates a contour graph of the multivariate skew-t density, over the range from -2 to 2 in both the x and y dimensions. The %LOGMVSKEWT function returns the log density, so this is exp'ed to give the density itself. This uses an input set of contours, which generally requires some trial and error to get a good appearance.

 

*

* Reference: Bauwens & Laurent(2005), "A New Class of Multivariate Skew

* Densities, With Application to Generalized Autoregressive Conditional

* Heteroscedasticity Models," JBES, vol 23, pp 346-354.

*

source logmvskewt.src

@gridseries(from=-2.0,to=2.0,n=50) z1grid

@gridseries(from=-2.0,to=2.0,n=50) z2grid

dec rect f(51,51)

ewise f(i,j)=exp(%logmvskewt(||z1grid(j),z2grid(i)||,||1.0,1.3||,6.0))

dec vect contours(12)

ewise contours(i)=.02*i

gcontour(footer="Figure 1. Contour of Bivariate SKST Density",f=f,x=z2grid,y=z1grid,number=12,contours=contours)


 

 


Copyright © 2025 Thomas A. Doan