Hi Community:
After running a Proc Corr, I have got a correlation table as below:
Have | ||||
Company1 | Company2 | Company3 | Company4 | |
Company1 | 1 | 0.562365 | -0.06496 | 0.889913 |
Company2 | 0.562365 | 1 | 0.49224 | 0.737267 |
Company3 | -0.06496 | 0.49224 | 1 | 0.274877 |
Company4 | 0.889913 | 0.737267 | 0.274877 | 1 |
As there are 1000s of companies, I would like to make it as below:
Want | ||
Company1 | Company2 | 0.562365 |
Company1 | Company3 | -0.06496 |
Company1 | Company4 | 0.889913 |
Company2 | Company3 | 0.49224 |
Company2 | Company4 | 0.737267 |
Company3 | Company4 | 0.274877 |
Thanks in advance!
Here is the actual screenshot:
Jijil Ramakrishnan
Example:
proc corr data=sashelp.cars outp=have noprint;
var _numeric_;
run;
data want;
set have(where=(_type_='CORR'));
array x _numeric_;
length vname $ 32;
do i=1 to dim(x);
vname=vname(x(i));
if _name_^=vname then do;
corr=x(i);
output;
end;
end;
keep _name_ vname corr;
run;
Example:
proc corr data=sashelp.cars outp=have noprint;
var _numeric_;
run;
data want;
set have(where=(_type_='CORR'));
array x _numeric_;
length vname $ 32;
do i=1 to dim(x);
vname=vname(x(i));
if _name_^=vname then do;
corr=x(i);
output;
end;
end;
keep _name_ vname corr;
run;
Available on demand!
Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.