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Download Cody's Data Cleaning Techniques Using SAS Software by Ron Cody PDF

By Ron Cody

Please bear in mind that there's a moment version of this publication (at an analogous price). for that reason, be sure to purchase the second one version and never the unique. here's a hyperlink to the second one variation: Cody's info cleansing options utilizing SAS, moment Edition.

I have rewritten each application and each macro within the re-creation. There also are many extra beneficial macros on hand (you can obtain them from the SAS net site). additionally new is a bankruptcy on SAS integrity constraints and audit trails.

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Extra resources for Cody's Data Cleaning Techniques Using SAS Software

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Why not? Well, the INPUT statement generates a missing value in its attempt to read a character value with a numeric informat. Because missing values are not treated as errors in this example, no error listing is produced for patient number 27. If you would like to include invalid character values (such as NA) as errors, you can use the internal _ERROR_ variable to check if such a value was processed by the INPUT statement. Unfortunately, the program cannot tell which variable for patient number 27 contained the invalid value.

In the DATA step, the result of the PUT function is the value of the first argument (the variable to be tested) formatted by the format specified as the second calling argument of the function. For example, any value of heart rate between 40 and 100 (or missing) falls into the format range ’OK’. A value of 22 for heart rate does not fall within the range of 40 to 100 or missing and the formatted value ’OK’ is not assigned. In that case, the PUT function for heart rate does not return the value ’OK’ and the IF statement condition is true.

Listing of Patient Numbers and Invalid Data Values PATNO=004 PATNO=008 PATNO=009 PATNO=009 PATNO=010 PATNO=011 PATNO=011 PATNO=014 PATNO=017 PATNO=321 PATNO=321 PATNO=321 PATNO=020 PATNO=020 PATNO=020 PATNO=023 HR=101 HR=210 SBP=240 DBP=180 SBP=40 SBP=300 DBP=20 HR=22 HR=208 HR=900 SBP=400 DBP=200 HR=10 SBP=20 DBP=8 HR=22 PATNO=023 SBP=34 Notice that a statement such as "IF HR LT 40" includes missing values because missing values are interpreted by SAS programs as the smallest possible value. Therefore, the following statement IF HR LT 40 OR HR GT 100 THEN PUT PATNO= HR=; will produce a listing that includes missing heart rates as well as out-of-range values (which may be what you want).

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