SGPLOT Procedure
- Syntax
Procedure SyntaxPROC SGPLOT StatementBAND StatementBUBBLE StatementDENSITY StatementDOT StatementELLIPSE StatementHBAR StatementHBARPARM StatementHBOX StatementHIGHLOW StatementHISTOGRAM StatementHLINE StatementINSET StatementKEYLEGEND StatementLINEPARM StatementLOESS StatementNEEDLE StatementPBSPLINE StatementREFLINE StatementREG StatementSCATTER StatementSERIES StatementSTEP StatementVBAR StatementVBARPARM StatementVBOX StatementVECTOR StatementVLINE StatementWATERFALL (Preproduction) StatementXAXIS StatementX2AXIS StatementYAXIS StatementY2AXIS Statement - Overview
- Concepts
- Examples Grouping a Scatter PlotClustering a Grouped Scatter Plot Plotting Three SeriesAdding Prediction and Confidence Bands to a Regression PlotAdding a Prediction Ellipse to a Scatter PlotCreating Lines and Bands from Pre-Computed DataAdding Statistical Limits to a Dot PlotCombining Histograms with Density PlotsCreating a Horizontal Box PlotCreating a Bar-Line ChartCreating a High-Low Chart
Concepts: SGPLOT Procedure
Plot Type Compatibility
Not all of the plot
types can be used together in the same PROC SGPLOT step. The following
table shows which of the plot types can be used together:
Plot Type Compatibility
Note: Box plots cannot be combined
with any other plot types. Box plots can be overlaid with other box
plots. However, overlaid box plots must have the same category variables.
If you submit a PROC
SGPLOT step that combines two incompatible plot statements, then an
error appears in the log.
The SGPLOT procedure
draws the plots in your graph in the same order that you specify the
plot statements. Because of this, it is important to consider the
order of your plot statements so that your plots do not obscure one
another. For example, if you specify a BAND statement after a SCATTER
statement, then the band plot might obscure the markers in your scatter
plot. You can also avoid obscuring your data by using the TRANSPARENCY=
option to make your plots partially transparent.
Plot Axes
The SGPLOT procedure
contains statements that enable you to change the type and appearance
of your axes: XAXIS, X2AXIS, YAXIS, and Y2AXIS.
By default, the type
of each axis is determined by the types of plots that use the axis
and the data that is applied to the axis.
The axis contains independent
data values rather than a range of numeric values. Each distinct value
is represented by a tick mark. Discrete is the default axis type for
character data.
The axis contains a
linear range of numeric values. Linear is the default axis type for
numeric data.
Legends in the SGPLOT Procedure
The SGPLOT procedure creates a legend automatically
based on the plot statements and options that you specify. The automatic
legend functionality determines which information is likely to be
useful in the legend. You can override the automatic legend functionality
by defining your own legend with the KEYLEGEND statement or by specifying
the NOAUTOLEGEND option in the PROC SGPLOT statement.
You can create customized
legends by using one or more KEYLEGEND statements. You can use the
KEYLEGEND statement to control the contents, title, location, and
border of the legend. See KEYLEGEND Statement.
Automatic Differentiation of Visual Attributes
Depending on the plots and options that you specify,
the SGPLOT procedure can automatically assign different style attributes
to the plots in your graph. For example, if you specify two series
plots, then each series plot automatically uses a different line color
by default. If different attributes are not assigned by default, then
you can force the procedure to use different style attributes by using
the CYCLEATTRS option in the PROC SGPLOT statement. For example, you
can use the CYCLEATTRS option to assign different colors to a series
plot and a scatter plot. You can also disable automatic attribute
differentiation by using the NOCYCLEATTRS option in the PROC SGPLOT
statement.