I have a dataset of dummy variables that look like this -
(Both tables the same - some problems viewing as image)
Contact | Var1 | Var2 | Var3 | Var4 | Var5 | Var6 |
---|---|---|---|---|---|---|
A | 1 | 1 | 1 | 1 | 1 | 1 |
B | 1 | 1 | ||||
C | 1 | 1 | 1 | 1 | ||
D | 1 | 1 | ||||
E | 1 | 1 | ||||
F | 1 | 1 |
What I need is to do a frequency count of all the variable pairings so that I get a table that looks like this -
Variable | Var1 | Var2 | Var3 | Var4 | Var5 | Var6 |
---|---|---|---|---|---|---|
Var1 | 2 | 2 | 1 | 1 | 2 | |
Var2 | 2 | 3 | 1 | 1 | 2 | |
Var3 | 2 | 3 | 1 | 1 | 2 | |
Var4 | 1 | 1 | 1 | 2 | 1 | |
Var5 | 1 | 1 | 1 | 2 | 1 | |
Var6 | 2 | 2 | 2 | 1 | 1 |
Does anyone have any ideas how to achieve this?
Thanks.
It is really more difficult than i imaged.
data have; input contact $ var1-var6; cards; a 1 1 1 1 1 1 b . . . 1 . 1 c 1 1 1 . . 1 d . . . 1 1 . e . 1 1 . . . f 1 . . . . 1 ; run; data temp(keep= name1 name2); set have; length name1 name2 $20 ; array v{*} var1-var6; do i=1 to dim(v)-1; do j=i+1 to dim(v); if v{i}=1 and v{j}=1 then do; name1=vname(v{i}); name2=vname(v{j}); output; end; end; end; run; proc freq data=temp noprint; tables name1*name2/out=x(drop=percent) nopercent nocum; run; proc sql noprint; select quote(trim(name)) into : list separated by ',' from dictionary.columns where libname='WORK' and memname='HAVE' and name like 'var%'; quit; data xx(keep=name1 name2); length name1 name2 $20 ; do name1=&list ; do name2=&list; output; end; end; run; proc sort data=xx;by name1 name2;run; data t; merge xx x; by name1 name2; _name1=name1;_name2=name2; run; data t; set t; call sortc(_name1,_name2); run; data tt(drop=_:); if _n_ eq 1 then do; if 0 then set t; declare hash ha(dataset:'t'); ha.definekey('_name1','_name2'); ha.definedata('count'); ha.definedone(); end; set t; count=.; rc=ha.find(); run; proc transpose data=tt out=want(drop=_:); by name1; id name2; var count; run;
Ksharp
No able to view your images.
It is really more difficult than i imaged.
data have; input contact $ var1-var6; cards; a 1 1 1 1 1 1 b . . . 1 . 1 c 1 1 1 . . 1 d . . . 1 1 . e . 1 1 . . . f 1 . . . . 1 ; run; data temp(keep= name1 name2); set have; length name1 name2 $20 ; array v{*} var1-var6; do i=1 to dim(v)-1; do j=i+1 to dim(v); if v{i}=1 and v{j}=1 then do; name1=vname(v{i}); name2=vname(v{j}); output; end; end; end; run; proc freq data=temp noprint; tables name1*name2/out=x(drop=percent) nopercent nocum; run; proc sql noprint; select quote(trim(name)) into : list separated by ',' from dictionary.columns where libname='WORK' and memname='HAVE' and name like 'var%'; quit; data xx(keep=name1 name2); length name1 name2 $20 ; do name1=&list ; do name2=&list; output; end; end; run; proc sort data=xx;by name1 name2;run; data t; merge xx x; by name1 name2; _name1=name1;_name2=name2; run; data t; set t; call sortc(_name1,_name2); run; data tt(drop=_:); if _n_ eq 1 then do; if 0 then set t; declare hash ha(dataset:'t'); ha.definekey('_name1','_name2'); ha.definedata('count'); ha.definedone(); end; set t; count=.; rc=ha.find(); run; proc transpose data=tt out=want(drop=_:); by name1; id name2; var count; run;
Ksharp
Awesome!! And actually for what I need to do I can simply take the table X created at the top and project solved. Cheers!
Great ksharp....
amazing...
He is good!
I borrowed your data step to create HAVE.
data have;
input contact $ var1-var6;
cards;
a 1 1 1 1 1 1
b . . . 1 . 1
c 1 1 1 . . 1
d . . . 1 1 .
e . 1 1 . . .
f 1 . . . . 1
;;;;
run;
ods listing close;
ods output list=list(keep=table frequency);
proc freq;
tables (var1-var6)*(var1-var6) / list;
run;
ods listing;
data list;
set list;
row=scan(table,2);
col=scan(table,-1);
if row eq col then frequency=.;
run;
proc sort data=list;
by row col;
run;
proc transpose out=square(drop=_name_);
by row;
id col;
var frequency;
run;
proc print;
run;
proc compare base=want compare=square;
run;
Obs row var1 var2 var3 var4 var5 var6
1 var1 . 2 2 1 1 3
2 var2 2 . 3 1 1 2
3 var3 2 3 . 1 1 2
4 var4 1 1 1 . 2 2
5 var5 1 1 1 2 . 1
6 var6 3 2 2 2 1 .
Message was edited by: data _null_
Great NULL.
Yet another way:
data have;
input contact $ var1-var6;
cards;
a 1 1 1 1 1 1
b . . . 1 . 1
c 1 1 1 . . 1
d . . . 1 1 .
e . 1 1 . . .
f 1 . . . . 1
;
proc transpose data=have out=havelist(where=(col1 is not missing));
by contact notsorted;
var var:;
run;
proc sql;
create table haveCounts as
select h1._name_ as variable, h2._name_ as col, count(*) as n
from haveList as h1 inner join haveList as h2
on h1.contact=h2.contact and h1._name_ ne h2._name_
group by h1._name_, h2._name_
order by variable;
drop table haveList;
quit;
proc transpose data=haveCounts out=want(drop=_NAME_);
by variable;
var n;
id col;
run;
/* At this point you have the counts table. Now for presentation : */
option missing="";
proc sql;
drop table haveCounts;
select variable label="Variable", var1, var2, var3, var4, var5, var6
from want;
quit;
PG
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