I am Learning the proc template. I tried to create a box plot with sashelp.cars. I've got to make it 80% of what I am thinking , I am  stuck at the last 20 % to finish. Looking for help. My code creates  graph correctly but stuck at creating the legend. Present graph only show the group legends text in legends, but 1. I want to add the number of to the legends text to display the counts. like (SUV-Asia (N= 25)). I tried creating the macro variable for counts and attach to the group., but it messing up my graph. 2. Is it possible to  to diplay all the Asia related in one column, USA in another column, and Europe in another columns in Legends Here is my cars code *create data; proc sql; create table car_subjects as select distinct cats(Make, "-", Model) as USUBJID length=50, Type as CarType length=15, Origin as Region length=15, Horsepower, Weight, MPG_City, MPG_Highway, MSRP from sashelp.cars where Make is not null and Model is not null; quit; *get Count to display in legend; proc sql; create table car_counts as select CarType, Region, count(*) as N from car_subjects group by CarType, Region; quit; * Add count to dataset; proc sort data=car_subjects; by CarType Region; run; proc sort data=car_counts; by CarType Region; run; /* Step 4: Merge and build final dummy dataset */ *try with few groups first; data dummy_cars_final ( where = (region in ('USA' 'Asia' 'Europe') and cartype in ('SUV' 'Sedan' 'Truck'))); merge car_subjects(in=a) car_counts; by CarType Region; if a; /* Derived variables */ region_type = catx("-", CarType, Region); Score = round(40 + ranuni(0)*60, 0.1); PowerIndex = round((Horsepower * 0.6 + Weight * 0.0005), 0.1); EcoScore = round((MPG_City * 0.4 + MPG_Highway * 0.6), 0.1); length LuxuryLevel $10; if MSRP > 50000 then LuxuryLevel = "High"; else if MSRP > 30000 then LuxuryLevel = "Medium"; else LuxuryLevel = "Low"; drop Horsepower Weight MPG_City MPG_Highway MSRP; run; proc template; define statgraph boxplot_template; begingraph; discreteattrmap name="comboMap" / ignorecase=true; value "SUV-Asia" / fillattrs=(color=orange); value "SUV-Europe" / fillattrs=(color=orange) ; value "SUV-USA" / fillattrs=(color=orange) ; value "Sedan-Asia" / fillattrs=(color=magenta) ; value "Sedan-Europe" / fillattrs=(color=orange); value "Sedan-USA" / fillattrs=(color=magenta); value "Truck-Asia" / fillattrs=(color=grey) ; value "Truck-USA" / fillattrs=(color=grey); enddiscreteattrmap; discreteattrvar attrvar=patgroup var=region_type attrmap='comboMap'; layout lattice / rows=2 columns=1 columndatarange=union ROWWEIGHTS=(.75 .25) ; layout overlay / xaxisopts=(label="Region" labelattrs=(size=12pt weight=bold) tickvalueattrs=(size=12pt weight=bold)) yaxisopts=(offsetmin=0.05 offsetmax=0.05 label="Rating Score" linearopts=(tickvaluesequence=(start=0 end=100 increment=10))); boxplot x=region y=score / name='BoxLegend' group=patgroup groupdisplay=cluster boxwidth=0.6 clusterwidth=0.5 display=( median mean caps fillpattern ) medianattrs=(pattern=1); endlayout; discretelegend 'BoxLegend' / border=false valueattrs=(size=8pt weight = bold) across=3 location=inside valign=top ; endlayout; endgraph; end; run; proc template; define style styles.mypatterns; parent=styles.listing; style GraphData1 from GraphData1 / fillpattern="R1" ; style GraphData2 from GraphData2 / fillpattern="X1" ; style GraphData3 from GraphData3 / fillpattern="E" ; style GraphData4 from GraphData4 / fillpattern="R1" ; style GraphData5 from GraphData5 / fillpattern="X1" ; style GraphData6 from GraphData6 / fillpattern="E" ; style GraphData7 from GraphData7 / fillpattern="R1" ; style GraphData8 from GraphData8 / fillpattern="X1" ; style GraphData9 from GraphData9/ fillpattern="E" ; end; run; options orientation=landscape; ods rtf file="boxplot_grouped.rtf" style=mypatterns; ods graphics / reset width=8.5in height=5.5in border=off; proc sgrender data=Dummy_cars_final template=boxplot_template; run; ods rtf close; Thank you. ... View more

Good afternoon, I have a large dataset of 6 million observations (containing both cases and controls), made in this way: - uniqueid : the unique code of each patient; - gender - age - casecontrol (1 for cases, 0 for controls). The cases are about 400,000 and i wanted to create a 1:3 matching with the controls, based on gender (same gender) and age (range of plus / minus 3 years). At the end i want to obtain a dataset like this: - id_control - gender_control - age_control - id_case - gender_case - age_case   I found a macro online, but no way to obtain the id_case... if someone can provide me a solution, it will be extremely helpful. Thank you.   ... View more

Hi, I have data like this and with almost 500 columns numerical value.   ID  A B C D 1 1 2 3 4 1 2 3 4 5 2 1 3 4 5 2 2 6 3 8 3 1 3 4 7 3 3 4 3 6   I need an output like this, which use the last. ID  _numeric_ MINUS first.ID _numeric_, Since there are almost 500 numerical features, I cannot subtract one by one, ID A B C D 1 1 1 1 1 2 1 3 -1 3 3 2 1 -1 -1 ... View more

Is it possible to query SAS datasets on a SAS Grid with the SAS ODBC Driver? I only have experience using the SAS ODBC Driver with PC SAS. If it is possible I would appreciate any configuration or connection tips.   Thanks! ... View more