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Although many researchers may become very efficient users of Stata without ever writing an ado-file program, others will find that “quick-and-dirty” code that gets the job done today must be rewritten incessantly, with minor variations, to perform a similar task tomorrow. With that epiphany, the knowledgeable Stata user will recognize that it is a short leap to becoming more productive by learning how to write their own ado-files, whether or not those programs are of general use or meant to be shareable with other Stata users.

We place the if ‘touse’ qualifier on the [R] generate statement, and [P] capture the result of that statement to catch any errors: for instance, an attempt to use a function not known to Stata. The rc (return code) is tested for a non-zero value, which will signify an error in the [R] generate command. Exhibit 24 . capture program drop semean . *! 0 CFBaum 16dec2004 . program define semean, rclass byable(recall) 1. 2 2. syntax varlist(max=1 ts numeric) [if] [in] [, noPRInt FUNCtion(string)] 3. marksample touse 4.

End . E. 49627295 . E. 05576835 31 . E. 11333991 . 1133399069800714 macros: r(var) : "log(emp)" . E. 39944652 . emp is only defined for positive changes in employment, and most of the 140 firms in this sample suffered declines in employment in 1982. The program now is capable of emuiating many of the features of an official Stata command, and remains a very brief chunk of ado-file code. We have only scratched the surface of what may be done in your own adofile: for instance, many user-written programs will generate new variables, or perform computations based on the values of options which may have their own default values.

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