Ensure Consistent Legends in SAS Graphs

PharmaSUG 2012 - Paper DG12

IS THE LEGEND IN YOUR SAS/GRAPH®
OUTPUT STILL TELLING THE RIGHT
STORY?

Alice M. Cheng, South San Francisco, CA
Justina M. Flavin, SimulStat, Inc.

OBJECTIVES

To explore both traditional and the latest
approaches to ensure Legend Consistency
(or Line Attribute Consistency).

2

2 PharmaSUG 2012 - Paper DG12

History of this paper
Is the Legend in your SAS/Graph® Output
Telling the Right Story?
Justina M. Flavin, Art Carpenter
(SUGI 29 Paper, Emphasis on Using GPLOT Procedure)

Is the Legend in your SAS/Graph® Output
STILL Telling the Right Story?
Alice Cheng, Justina M. Flavin
(Emphasis on Using SGPLOT Procedure)
(First Edition, WUSS 2011 Paper)
(Some Discussion on Attribute Map and SGPANEL Procedure)

(Second Edition, PharmaSUG 2012)
(More Emphasis on Attribute Map; SGPANEL Procedure was
only mentioned/referenced )
3


AGENDA
 The Nature of SGPLOT Procedure.
How are Line Attributes (color, symbol and
style) Assigned?
 Line Attributes Inconsistency Problem.
 5 Solutions to Resolve Line Inconsistency Issues.
 Additional Comments on Attribute Maps.

4


INTRODUCTION

Line Attributes (line color, symbol and style).

Placebo

Drug A

Drug B

Drug C

It is critical that line attributes are
CONSISTENT.
5


THE NATURE OF SGPLOT
HOW ARE LINES ATTRIBUTES (COLOR, SYMBOL
and STYLE) ASSIGNED?

6


Treatment
Order is
based
on Input Data
Order in
PROC
SGPLOT.

Figure 1A: Average Scores of 4 Treatments Over Time
7


INPUT DATASET
data DRUG;
input TRT & $7. MONTH : 2. SCORE : 3. @@;
label TRT=‘Treatment:’
MONTH=‘Month’
SCORE=‘Average Score’;
Datalines;
Placebo 1 10 Placebo 2 15 Placebo 3 18 Placebo 4 20 Placebo 5 22 Placebo 6 24
Drug A 1 30 Drug A 2 40 Drug A 3 60 Drug A 4 85 Drug A 5 93 Drug A 6 100
Drug B 1 20 Drug B 2 30 Drug B 3 45 Drug B 4 70 Drug B 5 90 Drug B 6 90
Drug C 1 25 Drug C 2 30 Drug C 3 35 Drug C 4 55 Drug C 5 70 Drug C 6 80
;
run;

Note: Based on input dataset DRUG,
Order of Treatments is: Placebo, Drug A, Drug B, Drug C.
8


DEFINE STYLE
proc template;
define style STYLES.MYSTYLES;
parent=STYLES.DEFAULT;
*--- Re-define Style for Line Attributes. ---*;
style GraphData1 from GraphData1 / linestyle=1 contrastcolor=red
markersymbol=‘circle’; * Line Attributes for 1st Treatment. ;
style GraphData2 from GraphData2 / linestyle=2 contrastcolor=blue
markersymbol=‘square’; * Line Attributes for 2nd Treatment. ;
style GraphData3 from GraphData3 / linestyle=3 contrastcolor=green
markersymbol=‘diamond’; * Line Attributes for 3rd Treatment. ;
style GraphData4 from GraphData4 / linestyle=4 contrastcolor=orange
markersymbol=‘circlefilled’; * Line Attributes for 4th Treatment. ;
*--- Re-define other styles to make sure the graph is easier to read. ---*;
class GraphFonts / ‘GraphLabelFont’=(“Arial”, 18pt, bold)
‘GraphValueFont’=(“Arial”, 15pt, bold)
‘GraphTitleFont’=(“Arial”, 25pt, bold);
style graphbackground from graphbackground / color = _undef_;
end; run;
Note: The k-th treatment in the input dataset takes on the k-th color here. For
instance, the first treatment (Placebo) takes on the RED color.
9


USE SGPLOT TO GENERATE FIGURE

ods listing style=STYLES.MYSTYLE;
title ‘Score Over Time by Treatment’;
proc sgplot data=DRUG;
series y=SCORE x=MONTH / group=TRT markers;
keylegend / noborder title=‘Treatment’;
run;

 Use the style STYLES.MYSTYLE.
 Assign TRT as the GROUP variable.

10

10

PROC SGPLOT VS PROC GPLOT

SGPLOT GPLOT

Default Order Data Order Internal
of Group Value
(TRT) Variable
Line Style Statement in Symboln
Attributes PROC TEMPLATE Statement

So if you want to present the values based on Internal Value of the Group
Variable in PROC SGPLOT (as in GPLOT), prior to SAS 9.3, you have to
sort by the Group (TRT) variable.

11

11

Or in SAS Version 9.3, use …

proc SGPLOT data = DRUG;
series y=SCORE x=MONTH / GROUP=TRT
GROUPORDER=ascending
markers;
run;

GROUP=variable and GROUPORDER=ascending/descending/data options
in the SERIES statement specify:

the order of the values in the GROUP variable

based on which the line attributes have been assigned to the groups.

12

12

Now based on
the ascending
order of the
value of TRT.

Figure 1B: With GROUP=TRT and GROUPORDER=ASCENDING,
the order of the treatments in the legend and the line attributes
have been changed.
13

13

THE PROBLEM

Line Inconsistency when using SGPLOT procedure
by Default.

14

14

LINE ATTRIBUTES

 Line Attributes (line color, symbol and style).

Drug A

Drug B

Drug C

Placebo

It is critical that line attributes are CONSISTENT.

15

15

WHAT IF DRUG B IS NO LONGER IN A STUDY?
SGPLOT
Drop Drug B We Want
(Default)
Drug A

Drug B

Drug C

Placebo

THE LINE ATTRIBUTES ARE NO LONGER CONSISTENT.

16

16

Error!!!
Inconsistency
In line attribute.
Drug C should
GREEN and
Placebo should
be ORANGE!

Figure 2: The same line inconsistency issues in the GPLOT procedure now
re-appears in the output for SGPLOT procedure when Drug B is excluded.
17

17

THE FIGURE WE WANT …
Average

Note: The lines in the legend are consistent with the lines when
all 4 treatments are available.
18

18

5 SOLUTIONS TO RESOLVE
LEGEND INCONSISTENCY ISSUES

19

19

SOLUTION # 1
USE DUMMY DATA

20

20

Solution # 1. Use Dummy Data
data DUMMY;
length TRT $7.; 
TRT=‘Drug A’; MONTH= . ; SCORE= . ; output;
Create a Dummy
TRT=‘Drug B’; MONTH= . ; SCORE= . ; output;
TRT=‘Drug C’; MONTH= . ; SCORE =. ; output; Dataset for all
TRT=‘Placebo’; MONTH= . ; SCORE =.; output; Treatment groups.
run;

data DRUG_WT_DUMMY;
set DUMMY Append DRUG data at
DRUG (where=(TRT ne ‘Drug B’) ); the end of DUMMY data
run; to retain the correct
Treatment group order.
*- Generate Figure 3A. -*;
ods listing style=STYLES.MYSTYLE;
proc sgplot data=DRUG_WT_DUMMY; 
series y=SCORE x=MONTH / group=TRT markers; Use data from 
keylegend / noborder title=‘Treatment’; run; To create Figure 3A.

21

21

Solution # 1. Use Dummy Data

Since Drug B
is not supposed
to be in this
figure.
Drug B should
NOT be in the
legend!!!

Figure 3A: The Add Dummy Data Approach ensures line consistency,
However, the excluded treatment group Drug B remains in the legend.
22

22

SOLUTION # 2
RE-MAP LINE ATTRIBUTES

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23

Solution # 2. Re-Map Line Attributes

 Create a LOOKUP dataset with data for every possible
GROUP variable value and its line attributes.

 From LOOKUP dataset, get GROUP variable values
and the corresponding line attributes based on current
source database.

 Create a new template by
re-defining the Style GraphDatan statements.
 Apply the newly defined Style to PROC SGPLOT.

24

24

Solution # 2. RE-MAP LINE ATTRIBUTE

*- Establish a LOOKUP dictionary for line attribute for each drug. -*;

data LOOKUP;
input ID & $7. LINESTYLE : 3. COLOR : $6. SYMBOL : $12.;
cards;
Drug A 1 red circle
Drug B 2 blue square
Drug C 3 green diamond
Placebo 4 orange circlefilled
;
run;

25

25

*-   Define LINEATTR macro to create Style Template with line attributes. -*;
%macro lineattr ( indata = /* Enter Input Data Set Name */
, lookup=LOOKUP /* Enter LOOKUP Dataset */
, idvar=ID /* ID variable in LOOKUP Data Set. */
, groupvar=TRT /* Enter Group Variable. */
, style=STYLES.MYSTYLE2 /* Enter Style name to be output. */
, parent_style=STYLES.MYSTYLE /* Enter Parent Style. */
)/ des=‘To create line attributes in Style Template’;
%local I;
%*-  Get line attribute for treatment groups from LOOKUP. -%;

%*- Note: only line attributes for treatment groups in the dataset specified in -*%;
%*- the dataset specified in &indata will be kept. -*%;
proc sql noprint;
create table LINEATTR as
select distinct L.*, D.&GROUPVAR
from &indata D
left join
&LOOKUP
on D.&GROUPVAR=L.&IDVAR
order by D.&GROUPVAR; quit;
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26

%*-  Assign value for the line style, colors and symbol of each treatment. -*%;
data null;
set LINEATTR;
call symput (‘LINESTYLE’ || strip(_n_, 3.)), LINESTYLE);
call symput (‘COLOR’ || strip ( put (_n_, 3.)), COLOR);
call symput (‘SYMBOL’|| strip(put (_n_, 3.)), strip(SYMBOL) ); run;

%*-   Redefine your line attributes in a new style. -*%;
proc template;
define style &STYLE;
parent=&parent_style;
%do i=1 %to &sqlobs;
style GraphData&i from GraphData&i / linestyle=&&LINESTYLE&i
contrastcolor=&&color&I markersymbol=&&symbol&i;
%end;
end;
run;
%mend lineattr;

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27

*- Create a dataset based on DRUG, excluding TRT B. -*;
data DRUG_noB;
set DRUG (where=(TRT ne ‘Drug B’));
run;

*-   Invoke %lineattr to create STYLES.MYSTYLES2 with the correct line styles. -*;
%lineattr(indata=DRUG_noB,
style=STYLES.MYSTYLES2);

*- Apply STYLES.MYSTYLES to create graph. -*;
ods listing style=STYLES.MYSTYLES2;
Title h=20pt ‘Score Over Time by Treatment’;
proc sgplot data=DRUG_noB;
keylegend / noborder title=‘Treatment: ‘;
run;

28

28

Average

This is the
figure we
want!

Figure 3B: 3 remaining treatments are represented by lines consistent in
appearance as those seen in Figure 1B. Legend reflects only the lines
in the figure.
29

29

SOLUTION # 3
RE-CODE INTERNAL VALUES
OF GROUP VARIABLE

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30

WHAT IF DRUG B IS NO LONGER IN A STUDY?
SGPLOT
Drop Drug B We Want
(Default)
Drug A

Drug B

Drug C

Placebo

NOTE: Line attributes before the deleted group, namely DRUG A,
remain intact.
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31

WHAT IF PLACEBO IS NOT IN A STUDY?
SGPLOT
Drop Placebo We Want (Default)
Drug A

Drug B

Drug C

Placebo

NOTE: Line attributes are consistent.
Line attributes before the deleted group remain intact.
32

32

Solution # 3. RE-CODE INTERNAL VALUES OF GROUP VARIABLE

 So if one knows ahead of the treatments that are going to be
dropped, one can put these treatments to be dropped last,
in terms of its internal value.

 The line attributes for the remaining treatment groups will
remain intact.

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33


*-  Define formats for re-coding group variable, TRT. -*;
proc format;
invalue INTRTF ‘Drug A’ = 1
‘Drug B’ = 4 Note that Drug B is now
‘Drug C’= 2
assigned to the largest value!
‘Placebo’=3;
value TRTF 1= ‘Drug A’
2=‘Drug C’ Recode the internal values to
3=‘Placebo’ associate with new treatment
4=‘Drug B’; assignment.
run;

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34


*-  Re-coded the value from TRT to TRT2 so that treatment groups to -*;
*- be dropped have higher internal values and will be listed last. -*;

data DRUG_RECODED; Resign new internal numeric
set DRUG (where=(TRT ne ‘Drug b’) ); values to TRT2.
TRT2=input(TRT, intrf.);
label TRT2=‘Treatment: ‘;
format TRT2 TRTF.; Format new internal numeric
run; values to have character
appearances.

*- Sort the data based on the internal value of the re-coded variable -*;
*- of TRT2. -*;
proc sort data=DRUG_RECODED;
by TRT2;
run;

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35


*-  Re-order the line attributes to match internal values of
group variable, TRT2 -*;

proc template;
define style STYLES.MYSTYLE3;
parent=STYLES.MYSTYLE;
style GraphData1 from GraphData1 / linestyle=1 contrastcolor=RED
markersymbol=‘circle’;
style GraphData2 from GraphData2 / linestyle=3 contrastcolor=GREEN
markersymbol=‘diamond’;
style GraphData3 from GraphData3 / linestyle=4 contrastcolor=ORANGE
markersymbol=‘circlefilled’;
style GraphData4 from GraphData4 / linestyle=2 contrastcolor=BLUE
markersymbol=‘square’;
end;
run;

Note: line attributes for Drug B
is now the last in the list.

36

36


*-   Re-order the line attributes to match internal values of group
variable, TRT2 -*;
Create a new style.
proc template;
define style STYLES.MYSTYLE3;
parent=STYLES.MYSTYLE;
end;
run;

37

37


*-  Generate Figure 3B that excludes Drug B with Re-coded
variable, TRT2 -*;
Use a new style here!
ods listing style=STYLES.MYSTYLE3;
title ‘Score Over Time by Treatment’;
proc sgplot data=DRUG_RECORDED;
series y=SCORE x=MONTH / group=TRT2 markers;
keylegend/noborder title=‘Treatment: ‘;
run;

Use recoded variable TRT2,
Instead of TRT.

38

38

Average

This is the
figure we
want!

in the figure.
39

39

SOLUTION # 4
USE INDEX OPTION IN
x
GRAPH TEMPLATE LANGUAGE (GTL)

40

40

PROC SGPLOT vs Graph Template Language (GTL)

PROC SGPLOT GTL
Single Cell Plot Multiple Cell Plot
Quality Graphics Higher Quality Graphics
Some Customization More Customization
Quick and Easy to Require Significant Time
Learn and Use and Effort to Learn

41

41

Use of Index Options in GTL Can Ensure Line Consistency
What if you have yet to master GTL?
 If you have SAS 9.3, you can use SG Attribute Map (Solution #5).

 If not and if you only need a simple plot that can be produced by the SG
procedure, you can use TMPLOUT options to get the code to create the
template and then render that template.

42

42

Use of Index Options in GTL Can Ensure Line Consistency
What if you have yet to master GTL?
 If you have SAS 9.3, you can use SG Attribute Map (Solution #5).

 If not and if you only need a simple plot that can be produced by the SG
procedure, you can use TMPLOUT options to get the code to create the
template and then render that template.

Example:

proc sgplot data=DRUG
tmplout=“c:alicepharmasug_2012_graphline_plot.sas”;
keylegend/noborder title=‘Treatment: ‘;
run;

43

43

Solution # 4. USING INDEX IN GTL
*-  Create a variable IDVAL to associate the group variables with -*;
*- line attributes defined in STYLES.MYSTYLE. -*;
data DRUG_IDVAL;
set DRUG (where=(TRT NE ‘Drug B’) );
if TRT=‘Drug A’ then IDVAL=1;
else if TRT=‘Drug B’ then IDVAL=2;
else if TRT=‘Drug C’ then IDVAL= 3; Create IDVAL variable.
else if TRT=‘Placebo’ then IDVAL=4;
run;

44

44

data DRUG_IDVAL;
run;

proc template;
define style STYLES.MYSTYLE; STYLES.MYSTYLE
markersymbol=‘circlefilled’; end; run;
45

45

data DRUG_IDVAL;
run;

proc template;
define style STYLES.MYSTYLE; STYLES.MYSTYLE
end; run;
46

46

data DRUG_IDVAL;
else if TRT=‘Drug B’ then IDVAL=2; Create IDVAL variable.
else if TRT=‘Drug C’ then IDVAL= 3;
run;
*-  Template SGPLOT was obtained from TMPLOUT options in PROC SGPLOT.-*;
*- INDEX options in SERIESPLOT statement has been added manually. -*;
proc template;
define statgraph SGPLOT; Define new template SGPLOT.
begingraph;
EntryTitle “Average Score Over Time by Treatment’/ textattrs=(size=2pct);
layout overlay;
seriesplot x=MONTH y=SCORE /
primary=true group=TRT index=IDVAL display=(markers)
LegendLabel=“Average Score” Name=“SERIES”;
DiscreteLegend “Series” / Location=Outside Title=“Treatment: “ Border=false;
endlayout; 47
endgraph; Add Manually.
47 run;
end;


*-  Use PROC SGRENDER to render the graph from the stored graphics -*;
* Template SGPLOT. -*;

ods listing style=STYLES.MYSTYLE; Specify STYLES.MYSTYLE.

proc sgrender data=DRUG_IDVAL template=SGPLOT;
run;

Use dataset with IDVAL. Use template SGPLOT we just created.

48

48

Average

This is the
figure we
want!

in the figure.
49

49

SOLUTION # 5

USE OF ATTRIBUTE MAP
(Available in SAS Version 9.3)

50

50

SOLUTION # 5: Use of Attribute Map

5A. Using SG Attribute Map Approach
(i.e., with Statistical Graphics Procedures)

5B. Using Attribute Map with GTL Approach

51

SOLUTION # 5A

USE OF SG ATTRIBUTE MAP

52

52

Solution # 5A. Using SG Attribute Map Approach
*-  Create Attribute Map Data Set named MYATTRMAP. -*;
data MYATTRMAP;
retain ID “MYID”;
input VALUE & $7. LINESTYLE : 3. LINECOLOR : $6
MARKERSYMBOL : $12 MARKCOLOR : $6.;
cards;
Drug A 1 red circle red
Drug B 2 blue square blue
Drug C 3 green diamond green
Placebo 4 orange circlefilled orange
; run;

*-  Reference to MYATTRMAP to define the line attributes. -*;
ods listing;
title ‘Average Score Over Time by Treatment’;
proc sgplot data=DRUG dattrmap=MYATTRMAP;
series y=SCORE x=MONTH / group=TRT attrid=MYID
marker;
keylegend / noborder title=“Treatment: “;
run;
53

53

Average

This is the
figure we
want!

in the figure.
54

54

SOLUTION # 5B

USE OF ATTRIBUTE MAP
WITH GTL APPROACH

55

55

Solution # 5B. Using Attribute Map with GTL Approach
*-  Define a template named SGPLOT with Discrete Attribute Map Data set. -*;
proc template;
define statgraph SGPLOT;
BeginGraph;
Entrytitle “Average Score Over Time by Treatment”/textattrs=(size=2 pct);

*-   Define the attribute map and assign the name “lineattr”. -*;
DiscreteAttrMap name=“lineattr” / ignore=true;
value “Drug A” / lineattrs=(pattern=1 color=RED) markerattrs=(color=RED symbol=circle);
value “Drug B” / lineattrs=(pattern=2 color=BLUE) markerattrs=(color=BLUE symbol =square);
value “Drug C” / lineattrs=(pattern=3 color=GREEN) markerattrs=(color=GREEN symbol =diamond);
value “Placebo” / lineattrs=(pattern=4 color=ORANGE) markerattrs=(color=ORANGE symbol
=circlefilled);
EndDiscreteAttrMap;

*-  Associate the attribute map with input data column ID and -*;
*- assign the name GROUPMARKERS to named association. -*;
DiscreteAttrVar attrvar=groupmarkers var=TRT attrmap=“lineattr” ;
56


proc template;
BeginGraph;

Case-Sensitive!Case-Sensitive!
Must Match! Must Match!
*-   Define the attribute map and assign the name “lineattr”. -*;
=circlefilled);
EndDiscreteAttrMap;

*- Associate the attribute map with input data column ID and -*;
57


proc template;
BeginGraph;

*-   Define the attribute map and assign the name “lineattr”. -*;
=circlefilled);
EndDiscreteAttrMap; Case-Sensitive! Values in quotes must
match with the internal value of TRT!
*-  Associate the attribute map with input data column ID and -*;
58


Solution # 5B. Using Attribute Map with GTL

Approach (Continued)
*-   Define the Series Plot. -*;
Layout overlay;
seriesplot x=MONTH y=AVG_SCORE/ primary=true group=groupmarkers
display=(markers)

Legendlabel=“Average Score” Name=“SERIES” ;

DiscreteLegend “SERIES” / Location=Outside border=false Title=“Treatment: “;

EndLayout;
EndGraph;
End;
run;

*- Use PROC SGRENDER to render the graph from stored graphics template SGPLOT.-*;
ods listing;
proc sgrender data=DRUG template=SGPLOT;
where TRT ne “Drug B”; run; 59


Solution # 5B. Using Attribute Map with GTL Approach (Continued)
Case-Sensitive! Must Match!

*-   Define the Series Plot. -*;
Layout overlay;
seriesplot x=MONTH y=AVG_SCORE/ primary=true group=groupmarkers
display=(markers)

Legendlabel=“Average Score” Name=“SERIES” ;

DiscreteLegend “SERIES” / Location=Outside border=false Title=“Treatment: “;

EndLayout;
EndGraph;
End;
run;

*- Use PROC SGRENDER to render the graph from stored graphics template SGPLOT.-*;
ods listing;
proc sgrender data=DRUG template=SGPLOT;
where TRT ne “Drug B”; run; 60


Average

This is the
figure we
want!

in the figure.
61

61

Which of the 5 approaches should be applied?

A Quick Peek Only?

YES NO

Use Method 1: Have SAS 9.3?
Dummy Data

YES NO

Need Custom Graph? Use Method 4:
INDEX Option in GTL
YES NO
Use Method 5B: Use Method 5A:
Attribute Map SG Attribute Map
in GTL



Not Recommended because
Method 2:
it does not take advantage of
Re-map Line Attributes
SAS new easier to use feature.

Method 3:
(1). it does not take advantage of
Re-code Internal Values
of GROUP variable
(2). May not know which treatment
will be dropped in the future.



Method 2:
it does not take advantage of
Re-map Line Attributes

Method 3:
(1). it does not take advantage of
Re-code Internal Values
of GROUP variable
(2). May not know which treatment
will be dropped in the future.


Additional Comments
On Attribute Maps

65

65

Attribute Map

Discrete Range
Attribute Map Attribute Map

Using SG Using Using
Procedures GTL GTL



Attribute Map

Discrete Range
Attribute Map  Attribute Map

Using SG Using Using
Procedures GTL GTL
= Already Discussed.
 

Discrete To display discrete value.
Attribute Map Example: Treatment Groups


Discrete To display discrete value.
Attribute Map Example: Treatment Groups

To display value based on the
Range range that value belongs to.
Attribute Map Example: Body Mass Index
(BMI)


Consider the following SCORE dataset:
USUBJID TRT BBMI VISIT SCORE

100 Placebo 29.8 1 8
100 Placebo 29.8 2 12
100 Placebo 29.8 3 16
100 Placebo 29.8 4 18
100 Placebo 29.8 5 19
100 Placebo 29.8 6 21
200 Placebo 27.6 1 12
200 Placebo 27.6 2 18
200 Placebo 27.6 3 16
200 Placebo 27.6 4 14
200 Placebo 27.6 5 17
200 Placebo 27.6 6 13
… more data …
BBMI = Body Mass Index at Baseline (kg/m2)


4 Categories based on BMI:

BMI at Baseline Category
(kg/m2)
< 19 Underweight

19 - < 26 Normal

26 - < 30 Overweight

>= 30 Obese


4 Categories
based on BMI
at baseline are
reflected in the
Spectrum.

Note: Color of the dots represents the Baseline BMI value of individual subject
at the corresponding month.


Using Range Attribute Map with GTL Approach

*-  Define a template named SGPLOT_SCAT with Discrete Attribute Map Data set. -*;

proc template;
define statgraph SGPLOT_SCAT;
begingraph;
entrytitle 'Score Over Time by Treatment'/ textattrs=(size=2pct);

*-   Define the range attribute map and assign the name “BBMI_Range”. -*;
RangeAttrMap name="BBMI_Range";
range MIN - < 19 / rangecolor=BLUE;
range 19 - < 26 / rangecolormodel=(LIGHTPURPLE LIGHTORANGE);
range 26 - <30 / rangecolormodel=(LIGHTORANGE LIGHTRED);
range 30 - MAX / rangecolor=RED;
EndRangeAttrMap;

*-  Associate the attribute map with the variable BBMI and -*;
*- assign the variable name RANGEVAR for this association. -*;
RangeAttrVar attrvar=rangevar var=BBMI attrmap="BBMI_Range“ ;
73


EndRangeAttrMap;

Color Spectrum specifies
In Range Attribute Map.

t
t

74


EndRangeAttrMap;

Tick marks are as
specified in
Range Attribute
Map.
t
t

75



*-  Define a template named SGPLOT_SCAT with Discrete Attribute Map Data set. -*;
proc template;
define statgraph SGPLOT_SCAT;
begingraph;
entrytitle 'Score Over Time by Treatment'/ textattrs=(size=2pct);

*-   Define the attribute map and assign the name “BBMI_Range”. -*;
RangeAttrMap name = "BBMI_Range“ ;
EndRangeAttrMap;
*-  Associate the attribute map with the variable BBMI and -*;
*- assign the variable name RANGEVAR for this association. -*;
RangeAttrVar attrvar=rangevar var=BBMI attrmap="BBMI_Range“ ; 76


Using Range Attribute Map with GTL Approach (Continued)

*-   Define the Scatterplot Plot in the template. -*;

layout overlay;
scatterplot x=MONTH y=SCORE / markercolorgradient=rangevar
markerattrs=(symbol=circlefilled size=4px)
name="scatter“ ;
continuouslegend "scatter" / orient=vertical halign=right
title="BMI at Baseline";
endlayout;
endgraph;
end;
run;

proc sgrender data=SCORE template=SGPLOT_SCAT ;
run;

77


Using Range Attribute Map with GTL Approach (Continued)

*-   Define the Scatterplot Plot in the template. -*;

layout overlay;
scatterplot x=MONTH y=SCORE / markercolorgradient=rangevar
markerattrs=(symbol=circlefilled size=4px)
name="scatter“ ;
continuouslegend "scatter" / orient=vertical halign=right
title="BMI at Baseline";
endlayout;
endgraph;
end;
run;

proc sgrender data=SCORE template=SGPLOT_SCAT ;
run;

78


ACKNOWLEDGEMENT
 Art Carpenter, Caloxy

 Shawn Hopkin, Seattle Genetics

 Lelia McConnell, SAS Technical Support
 Steve Michaelson, SimulStat, Inc.
 Susan Morrison, SAS Technical Support

 Adam Sharp, SimulStat, Inc.

 Marcia Surratt, SAS Technical Support

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SLIDE PRESENTATION

A copy of this slide will be available at:

http://www.slideshare.net/alice_m_cheng

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Contact Information

Alice M. Cheng

South San Francisco, CA

E-mail: alice_m_cheng@yahoo.com

http://
www.linkedin.com/in/alicemcheng

81

Contact Information

Justina M. Flavin

SimulStat Inc., San Diego, CA

E-mail: justina.flavin@gmail.com

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Ensure Consistent Legends in SAS Graphs

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Ensure Consistent Legends in SAS Graphs