10 Productivity Features in SAS(R) Studio on SAS Viya 4 ... View more

Please help me with error: Error: The connection could not be established to a SAS Workspace Server named 'Local' running on port on host 'localhost'. Please verify the following: - The correct hostname and port number were specified. - If a firewall is present, it is correctly configured to allow this access. - An object spawner has been started on the server. - The SETINIT on the server is not expired. Please contact your SAS Administrator if the problem persists. Server response: Server execution failed ... View more

Hi, I think it would be beneficial to have Generation Data group like dataset in SAS similar to the format used in Mainframe. Generation Data Groups (GDGs) are group of datasets related to each other by a common name. The common name is referred as GDG base and each dataset associated with the base is called a GDG version. You can set the limit of the related files(generations). We can easily keep track of all generation of data sets. Any particular generation can be referred easily. We use lot of datasets which regenerates daily , monthly , yearly etc..   Consider I need to create daily transaction data for the month of May. If Generation Data Group is available, I would define the base like "Tran_May2024".  Then I would just create dataset daily in the below way.   Data Tran_May2024(+1); -- This will create the next available version.  set work_tran_table; run;   If need to point current or earlier version  i would use the dataset below. Tran_May2024(0) - Latest Version  Tran_May2024(-1) - Previous Version  Tran_May2024(-2) - 2 versions back   If I need the whole month data ,  i just refer the base    Data work_tran_may; set Tran_May2024;   --This would all the version available in the base  run;   you can have options like below   LIMIT – To limit the maximum number of generations.   NOEMPTY – Uncatalog only the oldest generation in GDG when the limit is reached. EMPTY – Uncatalog all the generations when a limit is reached. SCRATCH -Physically delete the dataset(generation) which is uncataloged. NOSCRATCH – Don’t Physically delete the dataset(generation) which is uncataloged.   This would help a lot when we create lot of datasets which are created in a repeatable fashion.    Thank Ravi                ... View more

I've been looking for a good, efficient method to create "Table 1", which has a more or less standard format in research journals: Variable Name Category 1 Category 2 P-value Variable 1       1 N(%) N(%) Chi-sq or Fisher's 2 N(%) N(%) 3 N(%) N(%) Variable 2 Mean (SD) Mean (SD) t-test   Median (IQR) Median (IQR)   I found this PDF paper. It seems to work pretty well, but I'm having 2 issues. The first is that the chi-square results are saved into a file and then merged into the main file. But the value of the "variable" variable is the var label in 1 file and the var name in the other, so they don't merge.   The second issue is that Proc Report does not produce a table and instead gives me this: NOTE: Groups are not created because the usage of levels is DISPLAY. To avoid this note, change all GROUP variables to ORDER variables. WARNING: A GROUP, ORDER, or ACROSS variable is missing on every observation.   data have; infile datalines dsd dlm=',' truncover; input DEM_AGE DEM_SEX cohort_flag TM_group; datalines; 3,1,1,0 2,1,1,1 3,2,1,1 3,2,1,1 3,2,1,0 2,2,1,1 2,1,1,1 3,1,1,1 2,1,1,1 3,2,1,0 2,1,1,0 2,2,1,1 3,2,1,0 2,2,0, 3,2,1,1 3,2,1,1 3,1,1,0 3,2,1,0 2,1,1,0 3,1,1,1 3,2,1,1 3,2,1,0 3,2,1,1 3,2,1,1 3,2,1,1 ; RUN; /*Load formats from existing file in temp folder*/ options fmtsearch=(temp.formats); /*DEM_SEX sex 1 Male 2 Female*/ /*DEM_AGE AGE2GRP 1:Age Group <65 2:Age Group [65,75) 3:Age Group >=75*/ /*TM_group yesno 1 Yes 2 No*/ /*Generate descriptive statistics*/ proc means data = temp.have noprint n sum mean; class DEM_AGE DEM_SEX; var TM_group /*MA_group*/; ways 1; output out = temp.expl_PreTable n = sum = mean = / autoname; WHERE cohort_flag = 1; run; /*Format descriptive stats*/ data temp.expl_Table (keep = variable levels TM_group_N TM_group_sum TM_group_mean pct ExpPct indexvar); set temp.expl_PreTable; length variable $ 20; /* These four variables */; length levels $ 20; /* will describe the first */; length pct $ 8; /* four columns of the table */; length ExpPct $ 15; if DEM_AGE ne . then do; /*Building "variable" and "Levels" columns for "DEM_AGE"*/; variable = 'Age category'; levels = put(DEM_AGE, age2grp.); IndexVar = 1; /*This index is included just in case the order of data presentation needs to be changed*/; end; if DEM_SEX ne . then do; /*Building "variable" and "Levels" columns for "DEM_SEX"*/; variable = 'Sex'; levels = put(DEM_SEX,sex.); IndexVar = 2; end; pct = put(TM_group_mean*100,4.1); /*Calculate % exposed */; ExpPct = compress(put(TM_group_sum,comma4.),' ') ||' '||'('||compress(pct,' ')||')'; /*creating data in the form of "count (%)" */; run; /*Run chi-square significance tests and use ODS to create a dataset of these results*/ ods trace on; ods output chisq = temp.expl_ChiData; proc freq data = temp.have; table TM_group*DEM_AGE / chisq; table TM_group*DEM_SEX / chisq; WHERE cohort_flag = 1; run; ods trace off; /*Rearrange chi-square dataset so it can be merged with descriptive stats table*/ data temp.expl_ChiData2 (keep = variable prob); set temp.expl_ChiData (where = (statistic = 'Chi-Square')); length variable $ 20; variable = scan(table,-1,' '); /* Returns the last word in a character value from the "table" variable*/ run; /*Sort both tables so they will merge*/ PROC SORT data=temp.expl_Table OUT=temp.expl_Table_sort; BY variable; RUN; PROC SORT data=temp.expl_ChiData2 OUT=temp.expl_ChiData2_sort; BY variable; RUN; /**************MERGE DOES NOT WORK BECAUSE The value of the "variable" variable is the var label in 1 file and the var name in the other. DUE TO THE 'IF a' STATEMENT, NOTHING FROM THE CHIDATA2 FILE IS MERGED IN****/ /*Merge descriptive stats table with chi-square table*/ DATA temp.expl_TableData; MERGE temp.expl_Table_sort (in = a) temp.expl_ChiData2_sort (in = b); BY variable; IF a; RUN; /*Use PROC REPORT to create final output table*/ proc report data = temp.expl_TableData nowd; column variable levels TM_group_N ExpPct prob; define variable / "Variable" group format = $variable.; define levels / " " ; define TM_group_N / "TM" /*format = comma5.*/; define ExpPct / "TM Group/n (%)"; define prob / "p-value" group format = pvalue6.4; Title "Table 1. Descriptive characteristics of individuals in the sample"; RUN; ... View more