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📄 proportion.hlp

📁 是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到
💻 HLP
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{smcl}
{* 21mar2005}{...}
{cmd:help proportion}{right:dialog:  {bf:{dialog proportion}}{space 15}}
{right:also see:  {help proportion postestimation}}
{hline}

{title:Title}

{p2colset 5 23 25 2}{...}
{p2col :{hi:[R] proportion} {hline 2}}Estimate proportions{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 19 2}
{cmd:proportion} {varlist} {ifin} {weight} [{cmd:,} {it:options}]

{synoptset 22 tabbed}{...}
{synopthdr}
{synoptline}
{syntab :Model}
{synopt :{opth std:ize(varname)}}variable identifying strata for standardization{p_end}
{synopt :{opth stdw:eight(varname)}}weight variable for standardization{p_end}
{synopt :{opt nostdr:escale}}do not rescale the standard weight variable{p_end}
{synopt :{opt nolab:el}}suppress value labels from {it:varlist}{p_end}
{synopt :{opt miss:ing}}treat missing values like other values{p_end}

{syntab :if/in/over}
{synopt :{cmd:over(}{it:{help varlist}}{cmd:,} ...{cmd:)}}identify multiple subpopulations{p_end}

{syntab :SE/Cluster}
{synopt :{opth vce(vcetype)}}{it:vcetype} may be {opt boot:strap} or {opt jack:knife}{p_end}
{synopt :{opth cl:uster(varname)}}adjust standard errors for intragroup correlation{p_end}

{syntab :Reporting}
{synopt :{opt l:evel(#)}}set confidence level; default is {cmd:level(95)}{p_end}
{synopt :{opt noh:eader}}suppress the table header{p_end}
{synopt :{opt nol:egend}}suppress the table legend{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}{cmd:svy} may be used with {cmd:proportion}; see
{helpb "svy: proportion"}.{p_end}
{p 4 6 2}{opt fweight}s, {opt iweight}s, and {opt pweight}s are
allowed; see {help weight}.{p_end}
{p 4 6 2}See {help proportion postestimation} for features available after estimation.


{title:Description}

{pstd}
{cmd:proportion} produces estimates of proportions, along with standard errors.


{title:Options}

{dlgtab:Model}

{phang}
{opth stdize(varname)} specifies that the point estimates be adjusted by
direct standardization across the strata identified by {it:varname}.  
This option requires the {opt stdweight()} option.

{phang}
{opth stdweight(varname)} specifies the weight variable associated with the
strata identified in the {opt stdize()} option.  The standardization weights
must be constant within the strata identified in the {opt stdize()} option.

{phang}
{opt nostdrescale}
prevents the standardization weights from being rescaled within the
{opt over()} groups.  This option requires {opt stdize()} but is ignored if
the {opt over()} option is not specified.

{phang}
{opt nolabel} requests that value labels attached to the variables in
{varlist} be ignored.

{phang}
{opt missing} specifies that missing values in {varlist} be treated
as valid categories, rather than omitted from the analysis (the default).

INCLUDE help srs_sum_opdesc


{title:Examples}

{phang}{cmd:. proportion rep78}{p_end}

{phang}{cmd:. proportion rep78, missing}{p_end}

{phang}{cmd:. proportion rep78, over(foreign)}{p_end}


{title:Also see}

{psee}
Manual: {bf:[R] proportion}

{psee}
Online:  {help proportion postestimation};{break}
{helpb mean}, {helpb ratio},
{helpb "svy: proportion"},
{helpb total} 
{p_end}

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