Wonderful Unix SAS Scripts: SAS Quickies for Dummies Raoul Bernal, Amgen Inc., Thousand Oaks, CA

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1 Wonderful Unix SAS Scripts: SAS Quickies for Dummies Raoul Bernal, Amgen Inc., Thousand Oaks, CA ABSTRACT Repeated simple SAS jobs can be executed online, and in real-time to avoid having to directly execute SAS command files, producing immediate results directly into any Unix display window. The trick is to simulate SAS using a Unix script, which can be executed just like any Unix command with minimum of one or two parameters. One advantage of making such SAS Unix scripts available is the quick access to SAS without having to learn actual SAS syntax. This reduces the number of exploratory data requests from non-regular SAS users, thereby empowering them to get quickie exploratory results without having to ask a SAS practitioner. Just like any Unix command, the results can be directed to an output file (other than the default output screen) for reporting. INTRODUCTION Imagine getting ad hoc or last minute request from your supervisor to produce a quick report to generate database records with specific criteria, or to generate a count of subjects meeting certain criteria, etc. Imagine if all you have to do to fulfill this type of request is to type any of the following: pp dataset condition pf dataset "catvar1*catvar2" pu dataset contvar1 "group=1" pf dataset subject_id condition pc dataset One way to minimize ad hoc requests is to empower non-sas-trained colleagues and co-workers to use tailored Unix shell scripts to generate their own reports for their simple queries. The simpler the query, the more applicable the Unix SAS shell script could be to address the query and provide the needed statistics. This presentation will demonstrate the power and ease behind Unix shell scripts for SAS and provide examples of applications using the simple scripts pc, pp, pf, pu for SAS procedures PROC CONTENTS, PROC PRINT, PROC FREQ and PROC UNIVARIATE, respectively. By the end of the presentation, one should be able to create simple Unix shell scripts for SAS and realize their relative ease and time-saving features. CREATING A SIMPLE UNIX SCRIPT A simple Unix script is composed of a simple command executable in the Unix operating system, with optional parameters. An example script would one that lists all files in a current directory, by time: ls last *.* Instead of typing this command, a simple executable script that contains this line, say, fl (for file list) can be saved in utilities folder so that typing fl essentially produces the same results as ls -last *.*.. CREATING SIMPLE SAS UNIX SCRIPTS Creating a SAS Unix script would be more complicated than the simplest Unix commands because we need to specify: a) the SAS procedure, b) the dataset to apply the procedure to, and optionally, c) any condition and option to apply to the dataset. Moreover, we need to create a temporary behind-the-scenes SAS job to execute in the background after entering the SAS Unix script in the command line. The objective is to create a SAS Unix script, which, when executed with required dataset, parameters and condition, would be equivalent to executing a SAS job using the same SAS procedure. Examples of SAS Unix scripts will be discussed in detail. A. SAS UNIX SCRIPT pp Command syntax: pp dataset condition 1

2 This script pp (short for proc print), when executed with parameters dataset and condition, would be equivalent to the execution of the following PROC PRINT code in SAS: proc print data=dataset width=min; where (condition); run; As an example, printing the demo.sas7bdat dataset for patient id would simply require the following command: pp demo cohort = A1 which yields the following result: The straightforward Unix script for pp would be: #!/bin/csh -f # pp - prints out all or part of a UNIX dataset using PROC PRINT # The first argument is the dataset set dataset="$1" # The second argument is for setting condition to subset the data set condition="$2" # Find the dataset file set pwd=`pwd` if (-f $dataset.sas7bdat == 1) then set sasdir = "$pwd" echo "Dataset: $dataset.sas7bdat not found. Exiting... " # Begin constructing the SAS program in the temporary directory /tmp echo "%*include 'init.sas' ;" >! /tmp/pp$$.sas echo "libname sasdata '$sasdir' ;" # Continue constructing the program echo "options nodate nocenter nofmterr pagesize=74 linesize=132 ;" echo "proc printto file='/tmp/pp$$.lis' ;" echo "title Printing dataset: %nrbquote($dataset) Date: &sysdate. Time: &systime.;" echo "data $dataset; set sasdata.$dataset ;" if ("$2"!= '') then echo " where $condition;" echo "proc print data=$dataset;" echo "Running proc print on dataset: $dataset ($sasdir)" # Run the program in the temporary directory./tmp cd /tmp sas -913 pp$$.sas >> /tmp/pp$$.lis grep -i "sas stopped" /tmp/pp$$.log 2

3 test -f /tmp/pp$$.lis; set stat=$status if ($stat == 0) then set lines = `head -10 /tmp/pp$$.lis wc -l` if ($lines <= 2) then echo No output.lst file was created. more /tmp/pp$$.log more /tmp/pp$$.lis echo No output.lst file was created. more /tmp/pp$$.log /bin/rm -rf /tmp/pp$$.* B. SAS UNIX SCRIPT pf Command syntax: pf dataset tables condition This script pf (short for proc freq), which, when executed with parameters dataset, tables and condition, would be equivalent to the execution of the following PROC FREQ code in SAS: proc freq data=dataset; tables tables / missing missprint; where (condition); run; As an example, producing the frequency table race*sex from the demo.sas7bdat dataset for age group age > 50 would simply require the following command: pf demo race * sex age > 50 which yields the following result: 3

4 The straightforward Unix script for pf would be: #!/bin/csh -f # pf performs PROC FREQ on SAS dataset # The first argument is the dataset # The second argument is the tables statement # The third argument is the condition statement set dataset = "$1" set tables = "$2" set condition = "$3" # Find the dataset file set pwd=`pwd` if (-f $dataset.sas7bdat == 1) then set sasdir = "$pwd" echo "Dataset: $dataset.sas7bdat not found. Exiting... " # Begin constructing the SAS program in the temporary directory /tmp echo "%*include 'init.sas';" >! /tmp/pf$$.sas echo "libname sasdata '$sasdir';" # Continue constructing the program echo "options nocenter nofmterr pagesize=74 linesize=150;" echo "proc printto file='/tmp/pf$$.lis';" echo "proc freq data=sasdata.$dataset;" echo " tables $tables;" if ("$3"!= '') then echo " where $condition;" echo "Running proc freq on dataset: $dataset ($sasdir)" # Run the program in temporary directory cd /tmp sas -913 pf$$.sas >> pf$$.lis grep -i "sas stopped" /tmp/pf$$.log test -f /tmp/pf$$.lis; set stat=$status if ($stat == 0) then set lines = `head -10 /tmp/pf$$.lis wc -l` if ($lines <= 2) then echo empty.lis file created. more /tmp/pf$$.log more /tmp/pf$$.lis echo no.lis file created. more /tmp/pf$$.log /bin/rm -rf /tmp/pf$$.* C. SAS UNIX SCRIPT pu Command syntax: pu dataset variable condition This script pu (short for proc univariate), which, when executed with parameters dataset, variable, condition, and byvar would be equivalent to the execution of the following PROC UNIVARIATE code in SAS: proc univariate data=dataset; var variable; where (condition); by byvar; run; 4

5 As an example, producing the univariate statistics for variable age from the demo.sas7bdat dataset for condition (cohort = A1) would simply require the following command: pu demo age cohort=a1 sex which yields the following result: The straightforward Unix script for pu would be: #!/bin/csh -f # pu - performs PROC UNIVARIATE on specific continuous variable in SAS dataset # The first argument is the dataset # The second argument is the variable of interest # The third argument is the condition statement # The fourth argument is the BY variable to stratify analysis set dataset = "$1" set variable = "$2" set condition = "$3" set byvar = "$4" # Determine if edit is requested to edit/modify SAS job if ("$3" == 'edit' "$4" == 'edit' "$5" == 'edit') then 5

6 set edit = yes set edit = no # Find the dataset file set pwd=`pwd` if (-f $dataset.sas7bdat == 1) then set sasdir = "$pwd" echo "Dataset: $dataset.sas7bdat not found. Exiting... " # Begin constructing the sas program in the temporary directory /tmp echo "%*include 'init.sas';" >! /tmp/pu$$.sas echo "libname sasdata '$sasdir';" >> /tmp/pu$$.sas # Continue constructing the program echo "options nocenter nofmterr pagesize=74 linesize=90;" >> /tmp/pu$$.sas echo "proc printto file='/tmp/pu$$.lis';" >> /tmp/pu$$.sas >> /tmp/pu$$.sas echo "data $dataset;" >> /tmp/pu$$.sas echo " set sasdata.$dataset;" >> /tmp/pu$$.sas >> /tmp/pu$$.sas >> /tmp/pu$$.sas if ("$4"!= '' & "$4"!= 'edit') then echo "proc sort data= $dataset;" >> /tmp/pu$$.sas echo " by $byvar;" >> /tmp/pu$$.sas >> /tmp/pu$$.sas >> /tmp/pu$$.sas echo "proc univariate data=$dataset;" >> /tmp/pu$$.sas echo " var $variable;" >> /tmp/pu$$.sas if ("$3"!= '' & "$3"!= 'edit') then echo " where $condition;" >> /tmp/pu$$.sas if ("$4"!= '' & "$4"!= 'edit') then echo " by $byvar;" >> /tmp/pu$$.sas >> /tmp/pu$$.sas >> /tmp/pu$$.sas # If edit set to yes, then invoke the text editor if ("$edit" == 'yes') then vi /tmp/pu$$.sas echo "Running (edited) proc univariate on dataset: $dataset ($sasdir)" echo "Running proc univariate on dataset: $dataset ($sasdir)" # Run the program in the scratch directory cd /tmp sas -913 pu$$.sas >> pu$$.lis grep -i "sas stopped" /tmp/pu$$.log test -f /tmp/pu$$.lis; set stat=$status if ($stat == 0) then set lines = `head -10 /tmp/pu$$.lis wc -l` if ($lines <= 2) then echo No output.lst file was created. more /tmp/pu$$.log more /tmp/pu$$.lis echo No output.lst file was created. more /tmp/pu$$.log /bin/rm -rf /tmp/pu$$.* 6

7 D. SAS UNIX SCRIPT pc Command syntax: pc dataset This script pc (short for proc contents), which, when executed with parameter dataset would be equivalent to the execution of the following PROC CONTENTS code in SAS: proc contents data=dataset; run; As an example, producing the contents of the demo.sas7bdat dataset would simply require the following command: pc demo which yields the following result: 7

8 MODIFYING SAS UNIX SCRIPTS FOR ADDED ENHANCEMENT Once a desired Unix script command is finalized, oftentimes the actual SAS command generated needs to be saved to be formalized as a library job. A possible enhancement would be the option to create and edit the SAS job prior to the script execution. This is accomplished by simply adding a parameter or option to the script, in the form of a unique parameter value that can only be interpreted for creating and editing such a SAS job. In our example, we use the keyword edit. When the keyword edit is parsed as an option, the temporary SAS job is opened in Unix window (using default editor) for editing and saving. A. SAS UNIX SCRIPT pu WITH edit PARAMETER Command syntax: pu dataset variable condition edit For the same SAS example for script pu above, the following job is created and opened in the default Unix editor when using edit option in the command line: pu demo age cohort=a1 sex edit Once can save this temporary job in /tmp/ directory into an actual SAS job, to be formalized as a library job later. This file can be saved before the script actually executes the job and dumps the results into the default output, which was shown earlier. (Note that in the actual script, SAS statements to sort the dataset by the byvar variable have been added to avoid error due to unsorted data.) B. SAS UNIX SCRIPT pc WITH edit PARAMETER Command syntax: pu dataset variable condition edit For the same SAS example for the script pc above, the following job is created and opened in the default Unix editor when using edit option in the command line: pc demo edit 8

9 CONCLUSION Creating Unix scripts to automate SAS execution is practical for teams with members that need quick access to SAS results without having to learn the necessary programming behind SAS. This saves valuable time and effort for the SAS programmer, who can then concentrate on planned deliverables instead of getting bogged down by ad hoc requests. The scripts also help the programmer to make quick exploratory data checks. For data checks and ad hoc requests that are often repeated, the edit feature also allows the programmer to save the job into a more formal SAS production job. CONTACT INFORMATION Your comments and questions are valued and encouraged. Contact the author at: Raoul A. Bernal Amgen Inc. One Amgen Center Drive Thousand Oaks, CA Work Phone: rbernal@amgen.com Web: Trademark statement: SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. indicates USA registration. Other brand and product names are trademarks of their respective companies. 9