{smcl}
{* 26oct2002}{...}
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help for {hi:mrdum}       {right:version 1.3.1 25 October 2002}
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{title:Creation of dummy variables and summary table for multiple response data}

{p 8 14}{cmd:mrdum} {it:varlist} [{cmd:if} {it:exp}]
	[{cmd:in} {it:range}]{cmd:,}
	{cmdab:s:tub(}{it:string}{cmd:)}
	[{cmdab:res:ponses(}{it:numlist}{cmd:)}
	{cmdab:lab:els}[{cmd:(}{it:valuelabelname}{cmd:)}]] 
	

{title:Description}

{p}For general use, {cmd:mrdum} searches across {it:varlist} for integer codes
and creates corresponding binary dummy variables. Each dummy is equal to 1
if the integer code was found anywhere in {it:varlist}, 0 if not, and 
missing if all of {it:varlist} is missing. It also displays a table 
summarizing the results.

{p}This program was created specifically to deal with survey questions wherein 
the respondent can give multiple responses to a single question (e.g. "Check 
all that apply"). Sometimes these data are coded as a series of variables 
with the responses entered in the order that the respondent indicated them. 
Often, however, it is useful to have instead a set of binary dummy variables 
that indicate whether the respondent indicated a particular response regardless
of the order in which it was indicated.

{p}If you are interested in the order that responses were indicated, see Eric
Zbinden's {cmd:zb_qrm}.


{title:Options}

{p 0 4}{cmd:stub(}{it:string}{cmd:)} specifies a stub for the resulting dummy
variables. The stub should be short enough for all the complete names to be
legal. This is a required option. {p_end}
 
{p 0 4}{cmd:responses(}{it:numlist}{cmd:)} allows the user to specify exactly
which responses (integer codes) are of interest. If this option is not
specified, the command will assume that the responses are coded from 1 to
{it:n}, where {it:n} is the number of variables in {it:varlist}. 
 
{p 0 4}{cmd:labels} has two possible syntaxes. With no argument, this option
displays any value labels attached rather than the numeric codes. Any or
all of {it:varlist} can be labelled. This option can also take
a previously defined value label name as an argument. 
 

{title:Examples}

{p 8 12}{inp:. mrdum f4m1-f4m7, stub(q4) lab}{break}
This produces seven dummy variables for responses coded 1-7 {break}
plus a dummy to indicate which cases are completely missing {break}
(if there are any that are completely missing). The table {break}
produced will show value labels rather than numeric codes.

{p 8 12}{inp:. mrdum f4m1-f4m7, stub(q4) res(1/4,7)}{break}
This produces four dummy variables for responses coded 1-4, {break}
one dummy for responses coded 7, and one to indicate which {break}
cases are completely missing.

{p 8 8}{inp:. lab define colour 1 "red" 2 "blue" 3 "green"}{break}
{inp:. mrdum f4m1-f4m3, stub(q4) labels(colour)}{break}


{title:Author}

{p 8 8 8}Lee E. Sieswerda {break}
Thunder Bay District Health Unit {break}
Lee.Sieswerda@tbdhu.com


{title:Acknowledgements} 

{p 8 8 8}Nicholas J. Cox made significant improvements to the code.

  Manual: {hi:[R] numlist, [U] 14.1.8 numlist, [R] egen, eqany}
{p 1 19}On-line: help for {help numlist}; {help egen}{p_end}
See Also: help for {help zb_qrm} if installed