SAS Macro Programs for Statistical Graphics
These programs all require the base SAS and
SAS/GRAPH products; many require SAS/STAT and SAS/IML or both as well.
General Usage Notes
You may receive unanticipated results if you use multiple macros in
a single SAS session, because global statement parameters set in one
macro may be carried over to subsequent macros used in the same
session. If you are using Version 6 of the SAS system, we recommend
adding the statment
GOPTIONS RESET=ALL;
to the beginning of each macro. Under Release 5.18, you can modify
SYMBOL and PATTERN statements to explicitly specify null values for
parameters (V=NONE, for example).
The macros were originally written to produce hardcopy output on a
white background, and some use the black as a foreground color. If you
are using the macros to generate graphics on a device with a black
background, you may need change all references to BLACK in the macro to
another color.
Macro Programs
- BIPLOT
- Implements the biplot technique (e.g., Gabriel, 1971)
for plotting multivariate observations and variables together
in a single display.
- BOXANNO
- Provides univariate
marginal boxplot annotations for two-dimensional
and three-dimensional scatterplots.
- BOXPLOT
- Produces standard and notched boxplots
for a single response variable with one or more grouping variables.
- CONTOUR
- Plots a bivariate scatterplot with a bivariate
data ellipse for one or more groups with one or more confidence
coefficients.
- CORRESP
- Performs correspondence analysis (also known as "dual scaling")
on a table of frequencies in a
two-way (or higher-way) classification.
In V6 of &SAS., this analysis is also performed by PROC CORRESP.
- DENSITY
- Calculates a nonparametric density estimate
for histogram smoothing of a univariate data distribution.
The program uses the Gaussian kernel and calculates an optimal
window half-width (Silverman, 1986) if not specified by the user.
- DOTPLOT
- Produces grouped and ungrouped dot charts of a single variable
(Cleveland, 1984, 1985).
- LOWESS
- Performs robust, locally weighted scatterplot smoothing
(Cleveland, 1979).
- NQPLOT
- Produces theoretical normal quantile-quantile
(Q-Q) plots for single variable.
Options provide a classical (mu, sigma) or
robust (median, IQR) comparison line, standard error envelope,
and a detrended plot.
- OUTLIER
- Detects multivariate outliers.
The OUTLIER macro calculates
robust Mahalanobis distances by iterative multivariate trimming
(Gnanadesikan & Kettenring, 1972; Gnanadesikan, 1977),
and produces a chisquare Q-Q plot.
- PARTIAL
- Produces partial regression residual plots.
Observations with high leverage and/or large studentized
residuals can be individually labeled.
- SCATMAT
- Draws a &scat matrix for all pairs of
variables.
A classification variable may be used to assign the plotting symbol
and/or color of each point.
- STARS
- Draws a star plot of the multivariate observations
in a data set.
Each observation is depicted by a star-shaped figure with one ray
for each variable, whose length is proportional to the size of
that variable.
- SYMPLOT
- Produces a variety of diagnostic
plots for assessing symmetry of a data distribution and
finding a power transformation to make the data more symmetric.
- TWOWAY
- Performs an exploratory
analysis of two-way experimental design data with one observation
per cell, including Tukey's (1949)
one degree of freedom test for non-additivity.
Two plots may be produced: a
graphical display of the fit and residuals for
the additive model, and a
diagnostic plot for a power transformation for
removable non-additivity.