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Lesson 1.3: What if there is an error?
IMPORTANT! We have recently updated our training materials. Check out the latest free training here. 

Typos, spelling mistakes or programming errors cannot be avoided in any programming language. The place to check any type of errors is in the ‘Log’ window. 

This example illustrates how to check errors in the log window:

Example

DATE SASCrunch;
    INPUT name $ dept $;
*   DATALINES;
    John Sales
    Mary Acctng
    ;
RUN;

There are two errors in the codes above (highlighted in red!):
  1. DATA was misspelled as 'DATE'. 
  2. DATALINES statement was commented out. In SAS, any statement that starts with the asterisk (*) will be seen as ‘comments’ by SAS and it will not be read.
Picture

As a result, SAS shows 2 error messages and 3 warning messages in the log window. Any error message will be highlighted in red and warning message (a less severe problem determined by SAS) will be highlighted in green. It is very helpful to keep a habit of checking the log window whenever a set of codes is run.

DONE! You have learned to check programming errors in SAS.
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  • Home
  • SASĀ® Certification Training
    • SAS Certified Specialist Exam Training Program
    • How to Prepare For SAS Certified Specialist Base Programming Exam
  • Online Courses
    • Practical SAS Training Course for Beginners
    • Proc SQL Course
    • SAS Project Training Course
    • Logistic Regression (Credit Scoring) Modeling using SAS
  • Articles
    • Get Started >
      • 18 Free Resources to Help You Learn SAS
      • SAS Tutorial
      • How to Install SAS Studio
      • How to Learn SAS Fast
    • Data Import >
      • Importing Excel Spreadsheet
      • Importing CSV Files
      • Importing Text Files
    • SAS Functions >
      • CAT, CATT, CATS, CATX Functions
      • If-Then-Else statement
      • TRIM Function
      • STRIP Function
      • YEAR, MONTH, DAY Functions
      • Compress Function
      • Do-Loop
      • SCAN Function
      • LIKE Operator
      • INDEX Function
    • Data Manipulations >
      • The Ultimate Guide to Proc SQL
      • Proc Datasets
      • Dictionary Tables
      • Dealing with Missing Values
      • Proc Compare
      • Proc Transpose
      • RETAIN Statement
      • SAS Formats
      • SAS Arrays
    • Statistical Analysis >
      • Proc Means
      • Proc Freq
      • Proc Tabulate
    • Machine Learning >
      • Predicting Fish Species Using K-nearest Neighbor in SAS
      • Classify Product Reviews on Amazon Using Naive Bayes Model in SAS
    • Informational Interviews >
      • How to get a Clinical Trial/Research job without experience
      • Senior Recruiter at a Fortune 500 Retail Company
      • Manager, Non-profit Health Services Research
      • HR Manager
      • Quantitative Analyst
  • Services
    • The Ultimate Job Search Automation Services
    • Statistical Consulting
    • SAS Project or Assignment Help
    • Data Import Services
    • Data Manipulation and Reporting Services
  • In-class Training
    • SAS Training for Job Seekers
  • Guest Lecture
  • Sample Resume
  • About us
  • Contact Us