Macro not loading data set - sas

Question

Previous Posts :
Variable check and summary out
Macro that outputs table with testing results of SAS table
Question/Problem
From the previous posts, I thought I was able to run the macro and produce the desired results. However, after finally getting a report back that the output is not working I'm really confused as to why I'm getting the error that there were missing variables. It appears as if the data set is not being loaded after sub-setting. I'm able to process basic summary statistic tables, but when I load the macro the output is not working.
Why is the data set not loading? Does a macro require a certain type of data set?
Note : A limitation is that I do not have access to the data set, so I must send code to be run and won't get results for a few days. It's a very long and frustrating process, but I'm sure some can relate.
The code that is causing problems is the macro (in beginning of code) and the very last section which calls the macro with the data set.
Error Log :
Code :
# Filename : Census2007_Hawaii_BearingCoffee_BigIsland.sas
/******************************************************************
Clearance Test Macro
input_dataset - desired dataset which variables are located
output_dataset - an output table with test results
variable_to_consider - list of variables to compute test on
*******************************************************************/
%macro clearance_test(input_dataset= ,output_dataset=, variable_to_consider=);
%let variable_to_consider=%cmpres(&variable_to_consider);
proc sql noprint;
select count(*) into : obs_count from &input_dataset;
quit;
%let obs_count=&obs_count;
proc transpose data=&input_dataset out=&output_dataset prefix=top_;
var &variable_to_consider;
run;
data &output_dataset;
set &output_dataset end=eof;
array top(*) top_&obs_count.-top_1;
x=dim(top);
call sortn(of top[*]);
total=sum(of top[*]);
top_2_total=sum(top_1, top_2);
if sum(top_1,top_2) > 0.9 * total then Flag90=1; else Flag90=0;
if top_1 > total * 0.6 then Flag60=1; else Flag60=0;
keep total top_1 top_2 _name_ top_2_total total Flag60 Flag90;
run;
%mend mymacro;
/***********************************************************************/
*Define file path statics;
Libname def 'P:\Hawaii_Arita\John_Hawaii_Coffee\Datasets';
Libname abc "P:\Hawaii_Arita\John_Hawaii_Coffee\Datasets";
option obs=max;
/* Initialize database */
DATA def.Census2007_Hawaii_Coffee;
SET abc.census2007_hawaii_SubSet_Coffee;
**<create the variables used in the macro> **;
RUN;
/* Clearance Test Results */
%clearance_test(input_dataset=def.census2007_hawaii_SubSet_Coffee, output_dataset=test_data ,variable_to_consider= OIR OIRO ROA ROAO SProfit
LProfit SProfitAcre LProfitAcre Profitable MachineandRent UtilityandFuel LaborH LaborO FertilizerandChem MaintandCustom
Interest Tax Dep Others TFPE_cal operators workers operatorsandworkers)
A Complete/Verifiable Example :
This has been tested on the remote machine and works perfectly.
/* Create test data set*/
data business_data;
do firm = 1 to 3;
revenue = rand("uniform");
costs = rand("uniform");
profits = rand("uniform");
vcost = rand("uniform");
output;
end;
run;
/******************************************************************
Clearance Test Macro
input_dataset - desired dataset which variables are located
output_dataset - an output table with test results
variable_to_consider - list of variables to compute test on
*******************************************************************/
%macro clearance_test(input_dataset= ,output_dataset=, variable_to_consider=);
%let variable_to_consider=%cmpres(&variable_to_consider);
proc sql noprint;
select count(*) into : obs_count from &input_dataset;
quit;
%let obs_count=&obs_count;
proc transpose data=&input_dataset out=&output_dataset prefix=top_;
var &variable_to_consider;
run;
data &output_dataset;
set &output_dataset end=eof;
array top(*) top_&obs_count.-top_1;
x=dim(top);
call sortn(of top[*]);
total=sum(of top[*]);
top_2_total=sum(top_1, top_2);
if sum(top_1,top_2) > 0.9 * total then Flag90=1; else Flag90=0;
if top_1 > total * 0.6 then Flag60=1; else Flag60=0;
keep total top_1 top_2 _name_ top_2_total total Flag60 Flag90;
run;
%mend mymacro;
/* Print summary table, run macro, and print clearance test table */
PROC MEANS data = business_data n sum mean median std;
VAR revenue costs profits vcost;
RUN;
%clearance_test(input_dataset=business_data, output_dataset=test_data ,
variable_to_consider=revenue costs profits vcost)
proc print data = test_data; run;

Answer 1

This is where a minimal, complete verifiable example (MCVE) would be helpful for testing whether your problem is a problem with the code, or the data.
Here's the code above, but with a SASHELP dataset (those are built-in to SAS so everyone has them).
%macro clearance_test(input_dataset= ,output_dataset=, variable_to_consider=);
%let variable_to_consider=%cmpres(&variable_to_consider);
proc sql noprint;
select count(*) into : obs_count from &input_dataset;
quit;
%let obs_count=&obs_count;
proc transpose data=&input_dataset out=&output_dataset prefix=top_;
var &variable_to_consider;
run;
data &output_dataset;
set &output_dataset end=eof;
array top(*) top_&obs_count.-top_1;
x=dim(top);
call sortn(of top[*]);
total=sum(of top[*]);
top_2_total=sum(top_1, top_2);
if sum(top_1,top_2) > 0.9 * total then Flag90=1; else Flag90=0;
if top_1 > total * 0.6 then Flag60=1; else Flag60=0;
keep total top_1 top_2 _name_ top_2_total total Flag60 Flag90;
run;
%mend clearance_test;
%clearance_test(input_dataset=sashelp.cars, output_dataset=work.test, variable_to_consider=mpg_city mpg_highway);
That's the exact macro, just using a different input dataset. It works correctly on my machine (the flag variables are meaningless since the data isn't right for them, but the code works).
Run the same on your colleague's machine, and if it runs, then you know the data is the problem (ie, the dataset doesn't have the variables you think it does). If it doesn't run, then you have some other problem (perhaps an issue with how it's being submitted, maybe you end up with spurious characters or something).