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Patrick

There have been quite a few spam questions over the past few months where it took sometimes days until they got removed. Proposal Implement an automated process that moves questions from the visible list to some hidden queue for investigation if marked by multiple users an inappropriate content. To avoid that this process can get misused: Only include users that marked the question if they are not New Users but already on a certain level (to exclude fake users). And just thinking: Eventually request from New Users for their first few post some additional identification step when posting a question to make it a bit harder to automate posting such questions.

ljschroeder

How do I get more detail about the lines in BOLD? When I use option LISTOBS it will list the observations that it finds different. However when I view them I don't see any differences. How do I find out which vars are different when there are 95 vars? (Method=RELATIVE(0.0000222), Criterion=1.0E-09) Data Set Summary Dataset Created Modified NVar NObs ORDATA.ORACLETEMP 03MAY24:07:20:37 03MAY24:07:20:37 95 26553 SNOWDATA.SNOWTEMP 03MAY24:07:21:21 03MAY24:07:21:21 95 26553 Variables Summary Number of Variables in Common: 95. Number of ID Variables: 10. Number of Observations in Common: 24450. Number of Observations in ORDATA.ORACLETEMP but not in SNOWDATA.SNOWTEMP: 2103. Number of Observations in SNOWDATA.SNOWTEMP but not in ORDATA.ORACLETEMP: 2103. Total Number of Observations Read from ORDATA.ORACLETEMP: 26553. Total Number of Observations Read from SNOWDATA.SNOWTEMP: 26553. Number of Observations with Some Compared Variables Unequal: 0. Number of Observations with All Compared Variables Equal: 24450. Values Comparison Summary Number of Variables Compared with All Observations Equal: 85. Number of Variables Compared with Some Observations Unequal: 0. Total Number of Values which Compare Unequal: 0. Total Number of Values not EXACTLY Equal: 3628. Maximum Difference Criterion Value: 2.2094E-16. Here is my code: title "ordata.&ordsn versus &snowdsn"; proc compare base=ordata.&ordsn compare=snowdata.&snowdsn Criterion=0.000000001 fuzz=.001 out=result listobs outbase outcomp outdif outnoequal maxprint=50; id member medicaid_no claim_number line_number PAY_DT F_DOS L_DOS DOS AMT_REQ QTY ; attrib _all_ label=''; format _all_; informat _all_; run;

zihdonv19

I tried ("cou" is 1,2,3,4,5.....; "var" is continuous variable with decimal points): proc sql; create table mt as select cou, pctl(75, var) as var_p75 from check_1 group by cou; quit; But it returns me with multiple rows per cou.

SAS_USER_928

Hi, I need some help with writing a SAS code to handle the following scenario. I have a data set that has multiple sites; each site has multiple patients; and each patient can have data of up to 7 days (one row represents one day). The data set has form start and save time. Data set is also setup to have no duplicates. First day data of each patient should always have the previous save and open time (both are user defined variables) as NULL. e.g., sr.1, 8, and 9 will have previous open and save time variables as NULL. And using these variables, I want to calculate the the following for each patient at a site: number of hours a patient took between today's and yesterday's start times (i.e., from today's start to previous start) and number of hours a patient took between today's open and yesterday's start times (i.e., from today's start to previous day save) Sr. PT SITE START_TIME SAVE_TIME 1 001 01 4/9/2024 16:44 4/9/2024 16:46 2 001 01 4/10/2024 16:39 4/10/2024 16:40 3 001 01 4/11/2024 16:07 4/11/2024 16:08 4 001 01 4/12/2024 16:05 4/12/2024 16:06 5 001 01 4/13/2024 20:05 4/13/2024 20:06 6 001 01 4/14/2024 19:31 4/14/2024 19:52 7 001 01 4/15/2024 16:25 4/15/2024 16:25 8 002 01 4/15/2024 16:19 4/15/2024 16:20 9 003 01 4/15/2024 16:21 4/15/2024 16:22 10 002 02 4/3/2024 18:34 4/3/2024 18:41 11 002 02 4/4/2024 18:03 4/4/2024 18:09 12 002 02 4/6/2024 21:11 4/6/2024 21:14 13 002 02 4/6/2024 21:14 4/6/2024 21:16 14 002 02 4/7/2024 18:17 4/7/2024 18:20 15 002 02 4/8/2024 18:12 4/8/2024 18:14 16 002 02 4/9/2024 18:06 4/9/2024 18:08 17 004 02 4/5/2024 18:03 4/5/2024 18:10 18 004 02 4/6/2024 16:27 4/6/2024 16:32 19 004 02 4/7/2024 19:18 4/7/2024 19:22 20 004 02 4/8/2024 18:01 4/8/2024 18:07 21 004 02 4/9/2024 18:06 4/9/2024 18:16 22 004 02 4/10/2024 18:08 4/10/2024 18:10 23 004 02 4/11/2024 19:22 4/11/2024 19:26 24 005 02 4/8/2024 18:05 4/8/2024 18:07 25 005 02 4/9/2024 19:32 4/9/2024 19:34 26 005 02 4/10/2024 18:45 4/10/2024 18:47 27 005 02 4/11/2024 18:02 4/11/2024 18:04 28 005 02 4/12/2024 18:04 4/12/2024 18:07 29 005 02 4/13/2024 18:01 4/13/2024 18:03 30 005 02 4/14/2024 18:06 4/14/2024 18:08 Thanks so much in advance for all the help.

snikrepcc

The objective would be to have a user scan a mock table shell and then have AI generate the code to fill out the table given an input sas procedure ( e.g. results of proc univariate or proc freq ) . This would eliminate the need to build table macros and allow a programmer to be more productive.