My understanding of proc power is to plan sample size for a comparison of means. In my analysis I do not have an intervention. I wish to know the minimum patient volume for a provider group so that a risk adjusted complication rate can be considered stable. ... View more

There are SAS functions to check for missing values of an array. There seems to be no function to check the EQUALITY of elements of the array. The last has to be explicitly checked. On matching the first element of the array to the rest of the elements and if found not matching, the comparison can be immediately stopped to declare that elements are not equal. Here is a way with small example. It will also show in which ROW of the data set, the all missing elements are found. data have; length S1 S2 S3 $3; input X1 - X3 S1 - S3 ; datalines; 100 200 300 abc yyz yhf   .   .   . xyz ghe mno 200 200 200  .    .   . 100 200 300  xyz xyz xyz ; run; data want;    set have;    array n _numeric_;    array c _character_;    if nmiss(of n ) = dim(n) then Row_N = _N_;    if cmiss(of c ) = dim(c) then Row_C = _N_ ;    if missing(Row_N) then do;       first = n[1];       num_equal = 'T';       do i = 2 to dim(n);          if first ^= n then do; num_equal = 'F'; leave; end;       end;    end;    if missing(Row_C) then do;       char_equal = 'T';       start = c[1];       do i = 2 to dim(c);          if start ^= c then do; char_equal = 'F'; leave; end;       end;    end; drop first start i; run; ... View more

You can use both of them. If you have your to be embedded program somewhere on the OS you can define a link to that as code in the flow. In a  code node you can include the file (%include) using the full physical name or you can define a filename ,and then user %include filerf(imbedsource) ; Too many options is making a choice difficult.      An yes tos flow is running one program behind the other. You can define prompts to those and doing a split on conditions for a branche  in some value ... View more