Mass Production of Standard Error Plots
%StdErrPlot and %StdErrPlotY reside
in the departments SAS Macro Library and
are enabled with the following SAS statements:
L ibname
biostat '\\BIO2\example\SASMacrosWindows';
Options Mstored SasMstore=biostat;
%StdErrPlot and %StdErrPlotY calculate
and plot the standard error bars of the changes from baseline, by
treatment, for each variable listed. Visits that have <20% of enrolled
subjects are automatically dropped. Available plot styles are BlackWhite,
Color (white background) or PowerPoint (blue frame, gold trim, black
background). Graphs are displayed individually and 2, 4, 9 or 16 to
a page. “Jitter” allows you to space out the error bars
so they are not printed directly on top of each other.
Syntax:
%StdErrPlot(dataset,who,group,visit,baseline,start,stop,by,jitter,varlist,style,replay);
%StdErrPlotY(dataset,who,group,visit,baseline,start,stop,by,jitter,ystart,ystop,yby,varlist,style,replay);
dataset: Dataset to use.
who: Subject
ID.
group: Group/Treatment(Numeric).
visit: X
axis/Time/Week/Month(Numeric).
baseline: Baseline visit(Numeric Constant).
start: X
axis Begining(Numeric Constant).
stop: X
axis Ending(Numeric Constant).
by: X
axis Step(Numeric Constant).
jitter: Space
between standard error bars(Numeric Constant).
varlist: List
of variables to Boxplot(Numeric).
style: BlackWhite,
Color or PowerPoint.
replay: Number
of graphs to display on a page(2, 4, 9 or 16).
ystart: Y
axis Begining(Numeric Constant).
ystop: Y
axis Ending(Numeric Constant).
yby: Y
axis Step(Numeric Constant).
Example:
%StdErrPlot(work.A,id,treatment,visit,0,-2,12,2,0.1,
A B C D E,Color,9);
%StdErrPlotY(work.A,id,treatment,visit,0,-2,12,2,0.1,-15,20,5,A B
C D E,Color,9);
The default colors may be changed by defining a macro variable named
“Colors”:
%Let Colors=Background_color Foreground_color Group1_color Group2_color
Group3_color…;
%Let Colors=Blue Yellow Green Red Purple Black;
The default font of centx may be changed on all text by defining
a macro variable named “Font”:
%Let Font=Simplex;
The position of the legend may be changed by defining a macro variable
named "LegendOption":
%Let LegendOption=Position=(Inside Top Left)
Across=2 Down=2;
This procedure creates a graphics catalog named “work.mplot”.
The graphics catalog may be cleared by closing the graph window and
running the following code.
Proc Datasets Library=work Memtype=Catalog;
Delete mplot;
Run;
If you are running SAS interactively, this procedure will always
replay the first set of graphs in the catalog. You may wish to reset
the catalog between each procedure call.
Output:
%StdErrPlotY allows you to fix the Y axis to compare
similar scales.
*Usage Trick: If you have a few sets of graphs with
fixed Y axis, they may be replayed together by padding
the variable list in the last call to %StdErrPlotY:
%StdErrPlotY(work.A,id,treat,visit,0,-2,12,2,0.1,-15,20,5,A1
A2,Color,9);
Creates two graphs and saves them in a SAS catalog.
%StdErrPlotY(work.A,id,treat,visit,0,-2,12,2,0.1,-4,16,4,B1
B2 B3,Color,9);
Creates three graphs and saves them in the SAS catalog. The catalog
now has five graphs.
%StdErrPlotY(work.A,id,treat,visit,0,-2,12,2,0.1,-3,9,1,C1
C2 C3 C3 C3 C3 C3 C3,Color,9);
The above statement creates eight graphs and saves them in a SAS
catalog. The catalog now has 13 graphs. The last five are obviously
repeated. Since there are 8 variables in the variable list, the
macro will only replay the first 8 graphs from
the catalog and ignore the last 5 repeated graphs. As long as the
catalog is not cleared, StdErrPlotY can replay all the graphs saved
in the catalog.
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