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1323 lines
59 KiB
Plaintext
1323 lines
59 KiB
Plaintext
{smcl}
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{* 08oct2009}{...}
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{hi:help estpost}{right:also see: {helpb esttab}, {helpb estout}, {helpb eststo}, {helpb estadd}}
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{right: {browse "http://repec.org/bocode/e/estout"}}
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{hline}
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{title:Title}
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{p 4 4 2}{hi:estpost} {hline 2} Post results from various commands in {cmd:e()}
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{title:Syntax}
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{p 8 15 2}
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{cmd:estpost} {it:{help estpost##commands:command}} [...]
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{marker commands}
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{it:command}{col 26}description
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{hline 64}
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{helpb estpost##summarize:{ul:su}mmarize}{col 26}{...}
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post summary statistics
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{helpb estpost##tabstat:tabstat}{col 26}{...}
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post summary statistics
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{helpb estpost##ttest:ttest}{col 26}{...}
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post two-group mean-comparison tests
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{helpb estpost##prtest:prtest}{col 26}{...}
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post two-group tests of proportions
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{helpb estpost##tabulate:{ul:ta}bulate}{col 26}{...}
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post one-way or two-way frequency table
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{helpb estpost##svy_tabulate:svy: {ul:ta}bulate}{col 26}{...}
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post frequency table for survey data
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{helpb estpost##correlate:{ul:cor}relate}{col 26}{...}
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post correlations
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{helpb estpost##ci:ci}{col 26}{...}
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post confidence intervals for means,
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{col 26}{...}
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proportions, or counts
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{helpb estpost##stci:stci}{col 26}{...}
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post confidence intervals for means
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{col 26}{...}
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and percentiles of survival time
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{helpb estpost##margins:margins}{col 26}{...}
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post results from {cmd:margins} (Stata 11)
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{hline 64}
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{title:Description}
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{p 4 4 2}
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{cmd:estpost} posts results from various Stata commands in {cmd:e()}
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so that they can be tabulated using {helpb esttab} or {helpb estout}. Type
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{helpb ereturn:ereturn list} after {cmd:estpost} to list the elements saved
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in {cmd:e()}.
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{title:Commands}
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{marker summarize}
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{dlgtab:summarize}
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{p 4 15 2}
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{cmd:estpost} {cmdab:su:mmarize}
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[{it:{help varlist}}] [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
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[{cmd:,}
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{cmdab:d:etail}
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{cmdab:mean:only}
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{cmdab:list:wise}
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{cmdab:case:wise}
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{cmdab:q:uietly}
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{cmdab:es:ample}
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]
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{p 4 4 2}
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posts summary statistics computed by {helpb summarize}. If no
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{it:varlist} is specified, summary statistics are calculated for all
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variables in the dataset.
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{p 4 4 2}
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{cmd:aweight}s, {cmd:fweight}s, and {cmd:iweight}s are allowed
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(however, {cmd:iweight}s may not be used with the {cmd:detail} option);
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see {help weight}.
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{p 4 4 2}
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Options are:
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{p 8 12 2}
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{cmd:detail} and {cmd:meanonly} as described in help {helpb summarize}.
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{p 8 12 2}
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{cmd:listwise} to handle missing values through listwise deletion,
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meaning that an observation is omitted from the estimation
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sample if any of the variables in {it:varlist} is missing for that
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observation. The default is to determine the used observations for
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each variable separately without regard to whether other variables
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are missing. {cmd:casewise} is a synonym for {cmd:listwise}.
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{p 8 12 2}
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{cmd:quietly} to suppress the output.
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{p 8 12 2}
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{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
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{p 4 4 2}The following results vectors are saved in {cmd:e()}:
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{lalign 13:{cmd:e(count)}}number of observations
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{lalign 13:{cmd:e(mean)}}mean
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{lalign 13:{cmd:e(min)}}minimum
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{lalign 13:{cmd:e(max)}}maximum
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{lalign 13:{cmd:e(sum)}}sum of variable
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{lalign 13:{cmd:e(sum_w)}}sum of the weights
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{lalign 13:{cmd:e(Var)}}variance (unless {cmd:meanonly})
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{lalign 13:{cmd:e(sd)}}standard deviation (unless {cmd:meanonly})
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{lalign 13:{cmd:e(p1)}}1st percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p5)}}5th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p10)}}10th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p25)}}25th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p50)}}50th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p75)}}75th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p90)}}90th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p95)}}95th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(p99)}}99th percentile ({cmd:detail} only)
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{lalign 13:{cmd:e(skewness)}}skewness ({cmd:detail} only)
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{lalign 13:{cmd:e(kurtosis)}}kurtosis ({cmd:detail} only)
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{p 4 4 2}
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Example:
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{* begin example summarize }{...}
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{com}. sysuse auto, clear
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{txt}(1978 Automobile Data)
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{com}. estpost summarize price mpg rep78 foreign
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{txt}{ralign 12:} {c |} {ralign 9:e(count)} {ralign 9:e(sum_w)} {ralign 9:e(mean)} {ralign 9:e(Var)} {ralign 9:e(sd)}
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{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 6165.257}}} {ralign 9:{res:{sf: 8699526}}} {ralign 9:{res:{sf: 2949.496}}}
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{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 21.2973}}} {ralign 9:{res:{sf: 33.47205}}} {ralign 9:{res:{sf: 5.785503}}}
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{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 69}}} {ralign 9:{res:{sf: 69}}} {ralign 9:{res:{sf: 3.405797}}} {ralign 9:{res:{sf: .9799659}}} {ralign 9:{res:{sf: .9899323}}}
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{ralign 12:foreign} {c |} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: .2972973}}} {ralign 9:{res:{sf: .2117734}}} {ralign 9:{res:{sf: .4601885}}}
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{ralign 12:} {c |} {ralign 9:e(min)} {ralign 9:e(max)} {ralign 9:e(sum)}
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{hline 13}{c +}{hline 11}{hline 11}{hline 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf: 3291}}} {ralign 9:{res:{sf: 15906}}} {ralign 9:{res:{sf: 456229}}}
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{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 12}}} {ralign 9:{res:{sf: 41}}} {ralign 9:{res:{sf: 1576}}}
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{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 5}}} {ralign 9:{res:{sf: 235}}}
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{ralign 12:foreign} {c |} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 22}}}
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{com}. esttab ., cells("mean sd count") noobs
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{res}
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{txt}{hline 51}
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{txt} (1)
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{txt}
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{txt} mean sd count
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{txt}{hline 51}
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{txt}price {res} 6165.257 2949.496 74{txt}
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{txt}mpg {res} 21.2973 5.785503 74{txt}
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{txt}rep78 {res} 3.405797 .9899323 69{txt}
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{txt}foreign {res} .2972973 .4601885 74{txt}
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{txt}{hline 51}
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{* end example }{txt}{...}
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{marker tabstat}
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{dlgtab:tabstat}
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{p 4 15 2}
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{cmd:estpost} {cmdab:tabstat}
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{it:{help varlist}} [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
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[{cmd:,}
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{cmdab:s:tatistics:(}{it:{help tabstat##statname:statname}} [{it:...}]{cmd:)}
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{cmdab:c:olumns:(}{cmdab:v:ariables}|{cmdab:s:tatistics:)}
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{cmd:by(}{it:varname}{cmd:)}
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{cmdab:not:otal}
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{cmdab:m:issing}
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{cmdab:list:wise}
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{cmdab:case:wise}
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{cmdab:q:uietly}
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{cmdab:es:ample}
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]
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{p 4 4 2}
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posts summary statistics computed by {helpb tabstat}. {cmd:aweight}s and
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{cmd:fweight}s are allowed; see {help weight}.
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{p 4 4 2}
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Options are:
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{p 8 12 2}
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{cmd:statistics()}, {cmd:columns()}, {cmd:by()}, {cmd:nototal},
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and {cmd:missing} as described in help {helpb tabstat}.
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{p 8 12 2}
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{cmd:listwise} to handle missing values through listwise deletion,
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meaning that an observation is omitted from the estimation
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sample if any of the variables in {it:varlist} is missing for that
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observation. The default is to determine the used observations for
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each variable separately without regard to whether other variables
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are missing. {cmd:casewise} is a synonym for {cmd:listwise}.
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{p 8 12 2}
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{cmd:quietly} to suppress the output.
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{p 8 12 2}
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{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
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{p 4 4 2}A vector of results is saved in {cmd:e()} for each specified
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variable or statistic, depending on {cmd:columns()}.
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{p 4 4 2}
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Examples:
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{* begin example tabstat }{...}
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{com}. sysuse auto, clear
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{txt}(1978 Automobile Data)
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{com}. estpost tabstat price mpg rep78, listwise ///
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> statistics(mean sd)
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{txt}Summary statistics: mean sd
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for variables: price mpg rep78
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{ralign 12:} {c |} {ralign 9:e(price)} {ralign 9:e(mpg)} {ralign 9:e(rep78)}
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{hline 13}{c +}{hline 11}{hline 11}{hline 11}
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{ralign 12:mean} {c |} {ralign 9:{res:{sf: 6146.043}}} {ralign 9:{res:{sf: 21.28986}}} {ralign 9:{res:{sf: 3.405797}}}
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{ralign 12:sd} {c |} {ralign 9:{res:{sf: 2912.44}}} {ralign 9:{res:{sf: 5.866408}}} {ralign 9:{res:{sf: .9899323}}}
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{com}. esttab ., cells("price mpg rep78")
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{res}
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{txt}{hline 51}
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{txt} (1)
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{txt}
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{txt} price mpg rep78
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{txt}{hline 51}
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{txt}mean {res} 6146.043 21.28986 3.405797{txt}
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{txt}sd {res} 2912.44 5.866408 .9899323{txt}
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{txt}{hline 51}
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{txt}N {res} 69 {txt}
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{txt}{hline 51}
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{com}. estpost tabstat price mpg rep78, listwise ///
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> statistics(mean sd) columns(statistics)
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{txt}Summary statistics: mean sd
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for variables: price mpg rep78
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{ralign 12:} {c |} {ralign 9:e(mean)} {ralign 9:e(sd)}
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{hline 13}{c +}{hline 11}{hline 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf: 6146.043}}} {ralign 9:{res:{sf: 2912.44}}}
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{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 21.28986}}} {ralign 9:{res:{sf: 5.866408}}}
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{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 3.405797}}} {ralign 9:{res:{sf: .9899323}}}
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{com}. esttab ., cells("mean(fmt(a3)) sd")
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{res}
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{txt}{hline 38}
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{txt} (1)
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{txt}
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{txt} mean sd
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{txt}{hline 38}
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{txt}price {res} 6146.0 2912.4{txt}
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{txt}mpg {res} 21.29 5.866{txt}
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{txt}rep78 {res} 3.406 0.990{txt}
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{txt}{hline 38}
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{txt}N {res} 69 {txt}
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{txt}{hline 38}
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{com}. estpost tabstat price mpg rep78, by(foreign) ///
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> statistics(mean sd) columns(statistics) listwise
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{txt}Summary statistics: mean sd
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for variables: price mpg rep78
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by categories of: foreign
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{ralign 12:foreign} {c |} {ralign 9:e(mean)} {ralign 9:e(sd)}
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{hline 13}{c +}{hline 11}{hline 11}
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{res:{lalign 13:Domestic}}{c |}{space 11}{space 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf: 6179.25}}} {ralign 9:{res:{sf: 3188.969}}}
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{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 19.54167}}} {ralign 9:{res:{sf: 4.753312}}}
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{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 3.020833}}} {ralign 9:{res:{sf: .837666}}}
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{hline 13}{c +}{hline 11}{hline 11}
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{res:{lalign 13:Foreign}}{c |}{space 11}{space 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf: 6070.143}}} {ralign 9:{res:{sf: 2220.984}}}
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{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 25.28571}}} {ralign 9:{res:{sf: 6.309856}}}
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{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 4.285714}}} {ralign 9:{res:{sf: .7171372}}}
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{hline 13}{c +}{hline 11}{hline 11}
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{res:{lalign 13:Total}}{c |}{space 11}{space 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf: 6146.043}}} {ralign 9:{res:{sf: 2912.44}}}
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{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 21.28986}}} {ralign 9:{res:{sf: 5.866408}}}
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{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 3.405797}}} {ralign 9:{res:{sf: .9899323}}}
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{com}. esttab ., main(mean) aux(sd) nostar unstack ///
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> noobs nonote label
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{res}
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{txt}{hline 59}
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{txt} (1)
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{txt}
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{txt} Domestic Foreign Total
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{txt}{hline 59}
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{txt}Price {res} 6179.3 6070.1 6146.0{txt}
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{res} {ralign 12:{txt:(}3189.0{txt:)}} {ralign 12:{txt:(}2221.0{txt:)}} {ralign 12:{txt:(}2912.4{txt:)}}{txt}
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{txt}Mileage (mpg) {res} 19.54 25.29 21.29{txt}
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{res} {ralign 12:{txt:(}4.753{txt:)}} {ralign 12:{txt:(}6.310{txt:)}} {ralign 12:{txt:(}5.866{txt:)}}{txt}
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{txt}Repair Record 1978 {res} 3.021 4.286 3.406{txt}
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{res} {ralign 12:{txt:(}0.838{txt:)}} {ralign 12:{txt:(}0.717{txt:)}} {ralign 12:{txt:(}0.990{txt:)}}{txt}
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{txt}{hline 59}
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{* end example }{txt}{...}
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{marker ttest}
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{dlgtab:ttest}
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{p 4 15 2}
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{cmd:estpost} {cmdab:ttest}
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{it:{help varlist}} [{it:{help if}}] [{it:{help in}}]{cmd:,}
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{cmd:by(}{it:groupvar}{cmd:)}
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[
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{cmdab:une:qual} {cmdab:w:elch}
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{cmdab:list:wise}
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{cmdab:case:wise}
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{cmdab:q:uietly}
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{cmdab:es:ample}
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]
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{p 4 4 2}
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posts two-group mean-comparison tests computed by {helpb ttest}.
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{p 4 4 2}
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Options are:
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{p 8 12 2}
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{cmd:by()}, {cmd:unequal}, and {cmd:welch} as described in
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help {helpb ttest}.
|
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{p 8 12 2}
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{cmd:listwise} to handle missing values through listwise deletion,
|
|
meaning that an observation is omitted from the estimation
|
|
sample if any of the variables in {it:varlist} is missing for that
|
|
observation. The default is to determine the used observations for
|
|
each variable separately without regard to whether other variables
|
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are missing. {cmd:casewise} is a synonym for {cmd:listwise}.
|
|
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{p 8 12 2}
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{cmd:quietly} to suppress the output.
|
|
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{p 8 12 2}
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{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
|
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{p 4 4 2}The following results vectors are saved in {cmd:e()}:
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{lalign 13:{cmd:e(b)}}mean difference
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{lalign 13:{cmd:e(count)}}number of observations
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{lalign 13:{cmd:e(se)}}standard error of difference
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{lalign 13:{cmd:e(t)}}t statistic
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{lalign 13:{cmd:e(df_t)}}degrees of freedom
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{lalign 13:{cmd:e(p_l)}}lower one-sided p-value
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{lalign 13:{cmd:e(p)}}two-sided p-value
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{lalign 13:{cmd:e(p_u)}}upper one-sided p-value
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{lalign 13:{cmd:e(N_1)}}number of observations in group 1
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{lalign 13:{cmd:e(mu_1)}}mean in group 1
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{lalign 13:{cmd:e(N_2)}}number of observations in group 2
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{lalign 13:{cmd:e(mu_2)}}mean in group 2
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{p 4 4 2}
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Example:
|
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{* begin example ttest }{...}
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{com}. sysuse auto, clear
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{txt}(1978 Automobile Data)
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{com}. estpost ttest price mpg headroom trunk, by(foreign)
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{txt}{ralign 12:} {c |} {ralign 9:e(b)} {ralign 9:e(count)} {ralign 9:e(se)} {ralign 9:e(t)} {ralign 9:e(df_t)}
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{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf:-312.2587}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 754.4488}}} {ralign 9:{res:{sf:-.4138899}}} {ralign 9:{res:{sf: 72}}}
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{ralign 12:mpg} {c |} {ralign 9:{res:{sf:-4.945804}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 1.362162}}} {ralign 9:{res:{sf:-3.630848}}} {ralign 9:{res:{sf: 72}}}
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{ralign 12:headroom} {c |} {ralign 9:{res:{sf: .5402098}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: .2070884}}} {ralign 9:{res:{sf: 2.608596}}} {ralign 9:{res:{sf: 72}}}
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{ralign 12:trunk} {c |} {ralign 9:{res:{sf: 3.340909}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 1.022208}}} {ralign 9:{res:{sf: 3.268327}}} {ralign 9:{res:{sf: 72}}}
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{ralign 12:} {c |} {ralign 9:e(p_l)} {ralign 9:e(p)} {ralign 9:e(p_u)} {ralign 9:e(N_1)} {ralign 9:e(mu_1)}
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{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{ralign 12:price} {c |} {ralign 9:{res:{sf: .3400925}}} {ralign 9:{res:{sf: .6801851}}} {ralign 9:{res:{sf: .6599075}}} {ralign 9:{res:{sf: 52}}} {ralign 9:{res:{sf: 6072.423}}}
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|
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: .0002627}}} {ralign 9:{res:{sf: .0005254}}} {ralign 9:{res:{sf: .9997373}}} {ralign 9:{res:{sf: 52}}} {ralign 9:{res:{sf: 19.82692}}}
|
|
{ralign 12:headroom} {c |} {ralign 9:{res:{sf: .9944757}}} {ralign 9:{res:{sf: .0110486}}} {ralign 9:{res:{sf: .0055243}}} {ralign 9:{res:{sf: 52}}} {ralign 9:{res:{sf: 3.153846}}}
|
|
{ralign 12:trunk} {c |} {ralign 9:{res:{sf: .99917}}} {ralign 9:{res:{sf: .00166}}} {ralign 9:{res:{sf: .00083}}} {ralign 9:{res:{sf: 52}}} {ralign 9:{res:{sf: 14.75}}}
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(N_2)} {ralign 9:e(mu_2)}
|
|
{hline 13}{c +}{hline 11}{hline 11}
|
|
{ralign 12:price} {c |} {ralign 9:{res:{sf: 22}}} {ralign 9:{res:{sf: 6384.682}}}
|
|
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 22}}} {ralign 9:{res:{sf: 24.77273}}}
|
|
{ralign 12:headroom} {c |} {ralign 9:{res:{sf: 22}}} {ralign 9:{res:{sf: 2.613636}}}
|
|
{ralign 12:trunk} {c |} {ralign 9:{res:{sf: 22}}} {ralign 9:{res:{sf: 11.40909}}}
|
|
|
|
{com}. esttab ., wide
|
|
{res}
|
|
{txt}{hline 41}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt}{hline 41}
|
|
{txt}price {res} -312.3 {ralign 12:{txt:(}-0.41{txt:)}}{txt}
|
|
{txt}mpg {res} -4.946*** {ralign 12:{txt:(}-3.63{txt:)}}{txt}
|
|
{txt}headroom {res} 0.540* {ralign 12:{txt:(}2.61{txt:)}}{txt}
|
|
{txt}trunk {res} 3.341** {ralign 12:{txt:(}3.27{txt:)}}{txt}
|
|
{txt}{hline 41}
|
|
{txt}N {res} 74 {txt}
|
|
{txt}{hline 41}
|
|
{txt}t statistics in parentheses
|
|
{txt}* p<0.05, ** p<0.01, *** p<0.001
|
|
{* end example }{txt}{...}
|
|
|
|
{marker prtest}
|
|
{dlgtab:prtest}
|
|
|
|
{p 4 15 2}
|
|
{cmd:estpost} {cmdab:prtest}
|
|
{it:{help varlist}} [{it:{help if}}] [{it:{help in}}]{cmd:,}
|
|
{cmd:by(}{it:groupvar}{cmd:)}
|
|
[
|
|
{cmdab:list:wise}
|
|
{cmdab:case:wise}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
]
|
|
|
|
{p 4 4 2}
|
|
posts two-group tests of proportions computed by {helpb prtest}.
|
|
|
|
{p 4 4 2}
|
|
Options are:
|
|
|
|
{p 8 12 2}
|
|
{cmd:by()} as described in
|
|
help {helpb prtest}.
|
|
|
|
{p 8 12 2}
|
|
{cmd:listwise} to handle missing values through listwise deletion,
|
|
meaning that an observation is omitted from the estimation
|
|
sample if any of the variables in {it:varlist} is missing for that
|
|
observation. The default is to determine the used observations for
|
|
each variable separately without regard to whether other variables
|
|
are missing. {cmd:casewise} is a synonym for {cmd:listwise}.
|
|
|
|
{p 8 12 2}
|
|
{cmd:quietly} to suppress the output.
|
|
|
|
{p 8 12 2}
|
|
{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
|
|
|
|
{p 4 4 2}The following results vectors are saved in {cmd:e()}:
|
|
|
|
{lalign 13:{cmd:e(b)}}difference in proportions
|
|
{lalign 13:{cmd:e(count)}}number of observations
|
|
{lalign 13:{cmd:e(se)}}standard error of difference
|
|
{lalign 13:{cmd:e(se0)}}standard error under Ho
|
|
{lalign 13:{cmd:e(z)}}z statistic
|
|
{lalign 13:{cmd:e(p_l)}}lower one-sided p-value
|
|
{lalign 13:{cmd:e(p)}}two-sided p-value
|
|
{lalign 13:{cmd:e(p_u)}}upper one-sided p-value
|
|
{lalign 13:{cmd:e(N_1)}}number of observations in group 1
|
|
{lalign 13:{cmd:e(P_1)}}proportion in group 1
|
|
{lalign 13:{cmd:e(N_2)}}number of observations in group 2
|
|
{lalign 13:{cmd:e(P_2)}}proportion in group 2
|
|
|
|
{p 4 4 2}
|
|
Example:
|
|
|
|
{* begin example prtest }{...}
|
|
{com}. webuse cure2, clear
|
|
{txt}
|
|
{com}. estpost prtest cure, by(sex)
|
|
|
|
{txt}{ralign 12:} {c |} {ralign 9:e(b)} {ralign 9:e(count)} {ralign 9:e(se)} {ralign 9:e(se0)} {ralign 9:e(z)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:cure} {c |} {ralign 9:{res:{sf:-.0729167}}} {ralign 9:{res:{sf: 109}}} {ralign 9:{res:{sf: .0933123}}} {ralign 9:{res:{sf: .0942404}}} {ralign 9:{res:{sf:-.7737309}}}
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(p_l)} {ralign 9:e(p)} {ralign 9:e(p_u)} {ralign 9:e(N_1)} {ralign 9:e(P_1)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:cure} {c |} {ralign 9:{res:{sf: .219545}}} {ralign 9:{res:{sf: .43909}}} {ralign 9:{res:{sf: .780455}}} {ralign 9:{res:{sf: 64}}} {ralign 9:{res:{sf: .59375}}}
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(N_2)} {ralign 9:e(P_2)}
|
|
{hline 13}{c +}{hline 11}{hline 11}
|
|
{ralign 12:cure} {c |} {ralign 9:{res:{sf: 45}}} {ralign 9:{res:{sf: .6666667}}}
|
|
|
|
{com}. esttab ., cell("b se0 z p")
|
|
{res}
|
|
{txt}{hline 64}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt} b se0 z p
|
|
{txt}{hline 64}
|
|
{txt}cure {res} -.0729167 .0942404 -.7737309 .43909{txt}
|
|
{txt}{hline 64}
|
|
{txt}N {res} 109 {txt}
|
|
{txt}{hline 64}
|
|
{* end example }{txt}{...}
|
|
|
|
{marker tabulate}
|
|
{dlgtab:tabulate}
|
|
|
|
{p 4 4 2}One-way table:
|
|
|
|
{p 8 15 2}
|
|
{cmd:estpost} {cmdab:ta:bulate}
|
|
{it:varname} [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
|
|
[{cmd:,}
|
|
{cmdab:m:issing}
|
|
{cmdab:nol:abel}
|
|
{cmd:sort}
|
|
{cmd:subpop(}{it:varname}{cmd:)}
|
|
{cmdab:notot:al}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
]
|
|
|
|
{p 4 4 2}Two-way table:
|
|
|
|
{p 8 15 2}
|
|
{cmd:estpost} {cmdab:ta:bulate}
|
|
{it:varname1} {it:varname2} [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
|
|
[{cmd:,}
|
|
{cmdab:m:issing}
|
|
{cmdab:nol:abel}
|
|
{cmdab:ch:i2}
|
|
{cmdab:e:xact}[{cmd:(}{it:#}{cmd:)}]
|
|
{cmdab:g:amma}
|
|
{cmdab:lr:chi2}
|
|
{cmdab:t:aub}
|
|
{cmdab:v}
|
|
{cmdab:notot:al}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
]
|
|
|
|
{p 4 4 2}
|
|
{cmd:estpost tabulate} posts a one-way or two-way table
|
|
computed by {helpb tabulate}. {cmd:aweight}s, {cmd:fweight}s,
|
|
and {cmd:iweight}s are allowed; see {help weight}.
|
|
|
|
{p 4 4 2}
|
|
Options are:
|
|
|
|
{p 8 12 2}
|
|
{cmd:missing},
|
|
{cmd:nolabel},
|
|
{cmd:sort},
|
|
{cmd:subpop()},
|
|
{cmd:chi2},
|
|
{cmd:exact},
|
|
{cmd:gamma},
|
|
{cmd:lrchi2},
|
|
{cmd:taub}, and
|
|
{cmd:v}
|
|
as described in help {helpb tabulate}.
|
|
|
|
{p 8 12 2}
|
|
{cmdab:nototal} to omit row and column totals.
|
|
|
|
{p 8 12 2}
|
|
{cmd:quietly} to suppress the output.
|
|
|
|
{p 8 12 2}
|
|
{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
|
|
|
|
{p 4 4 2}The following vectors are saved in {cmd:e()}:
|
|
|
|
{lalign 13:{cmd:e(b)}}frequency counts
|
|
{lalign 13:{cmd:e(pct)}}percent
|
|
{lalign 13:{cmd:e(cumpct)}}cumulative percent (one-way only)
|
|
{lalign 13:{cmd:e(colpct)}}column percent (two-way only)
|
|
{lalign 13:{cmd:e(rowpct)}}row percent (two-way only)
|
|
|
|
{p 4 4 2}If two-way options such as, e.g., {cmd:chi2} or {cmd:exact} are
|
|
specified, the results of the tests added as scalars in {cmd:e()} using the
|
|
names documented in {helpb tabulate:{bind:[R] tabulate}}.
|
|
|
|
{p 4 4 2}The value labels of the row variable are stored as names in the
|
|
saved vectors, unless
|
|
no label exceeds 30 characters or contains unsuitable characters in which case
|
|
the labels are stored in macro {cmd:e(labels)}. Type
|
|
{cmd:varlabels(`e(labels)')} in {helpb esttab} or {helpb estout} to
|
|
use the labels stored {cmd:e(labels)}. The value labels of the column variable
|
|
are stored as equation names or, alternatively,
|
|
in macro {cmd:e(eqlabels)}. Type {cmd:eqlabels(`e(eqlabels)')} in
|
|
{helpb esttab} or {helpb estout} to use the labels stored in {cmd:e(eqlabels)}.
|
|
|
|
{p 4 4 2}Examples:
|
|
|
|
{* begin example tabulate }{...}
|
|
{com}. sysuse auto, clear
|
|
{txt}(1978 Automobile Data)
|
|
|
|
{com}. estpost tabulate foreign
|
|
|
|
{txt}{ralign 12:foreign} {c |} {ralign 9:e(b)} {ralign 9:e(pct)} {ralign 9:e(cumpct)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:Domestic} {c |} {ralign 9:{res:{sf: 52}}} {ralign 9:{res:{sf: 70.27027}}} {ralign 9:{res:{sf: 70.27027}}}
|
|
{ralign 12:Foreign} {c |} {ralign 9:{res:{sf: 22}}} {ralign 9:{res:{sf: 29.72973}}} {ralign 9:{res:{sf: 100}}}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:Total} {c |} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: 100}}} {ralign 9:{res:{sf:{space 9}}}}
|
|
|
|
{com}. esttab ., cells("b pct(fmt(2)) cumpct(fmt(2))") noobs
|
|
{res}
|
|
{txt}{hline 51}
|
|
{txt} (1)
|
|
{txt} foreign
|
|
{txt} b pct cumpct
|
|
{txt}{hline 51}
|
|
{txt}Domestic {res} 52 70.27 70.27{txt}
|
|
{txt}Foreign {res} 22 29.73 100.00{txt}
|
|
{txt}Total {res} 74 100.00 {txt}
|
|
{txt}{hline 51}
|
|
|
|
{com}. estpost tabulate rep78 foreign
|
|
|
|
{res}foreign {txt} {c |}{space 44}
|
|
{ralign 12:rep78} {c |} {ralign 9:e(b)} {ralign 9:e(pct)} {ralign 9:e(colpct)} {ralign 9:e(rowpct)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{res:{lalign 13:Domestic}}{c |}{space 11}{space 11}{space 11}{space 11}
|
|
{ralign 12:1} {c |} {ralign 9:{res:{sf: 2}}} {ralign 9:{res:{sf: 2.898551}}} {ralign 9:{res:{sf: 4.166667}}} {ralign 9:{res:{sf: 100}}}
|
|
{ralign 12:2} {c |} {ralign 9:{res:{sf: 8}}} {ralign 9:{res:{sf: 11.5942}}} {ralign 9:{res:{sf: 16.66667}}} {ralign 9:{res:{sf: 100}}}
|
|
{ralign 12:3} {c |} {ralign 9:{res:{sf: 27}}} {ralign 9:{res:{sf: 39.13043}}} {ralign 9:{res:{sf: 56.25}}} {ralign 9:{res:{sf: 90}}}
|
|
{ralign 12:4} {c |} {ralign 9:{res:{sf: 9}}} {ralign 9:{res:{sf: 13.04348}}} {ralign 9:{res:{sf: 18.75}}} {ralign 9:{res:{sf: 50}}}
|
|
{ralign 12:5} {c |} {ralign 9:{res:{sf: 2}}} {ralign 9:{res:{sf: 2.898551}}} {ralign 9:{res:{sf: 4.166667}}} {ralign 9:{res:{sf: 18.18182}}}
|
|
{ralign 12:Total} {c |} {ralign 9:{res:{sf: 48}}} {ralign 9:{res:{sf: 69.56522}}} {ralign 9:{res:{sf: 100}}} {ralign 9:{res:{sf: 69.56522}}}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{res:{lalign 13:Foreign}}{c |}{space 11}{space 11}{space 11}{space 11}
|
|
{ralign 12:1} {c |} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 0}}}
|
|
{ralign 12:2} {c |} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 0}}}
|
|
{ralign 12:3} {c |} {ralign 9:{res:{sf: 3}}} {ralign 9:{res:{sf: 4.347826}}} {ralign 9:{res:{sf: 14.28571}}} {ralign 9:{res:{sf: 10}}}
|
|
{ralign 12:4} {c |} {ralign 9:{res:{sf: 9}}} {ralign 9:{res:{sf: 13.04348}}} {ralign 9:{res:{sf: 42.85714}}} {ralign 9:{res:{sf: 50}}}
|
|
{ralign 12:5} {c |} {ralign 9:{res:{sf: 9}}} {ralign 9:{res:{sf: 13.04348}}} {ralign 9:{res:{sf: 42.85714}}} {ralign 9:{res:{sf: 81.81818}}}
|
|
{ralign 12:Total} {c |} {ralign 9:{res:{sf: 21}}} {ralign 9:{res:{sf: 30.43478}}} {ralign 9:{res:{sf: 100}}} {ralign 9:{res:{sf: 30.43478}}}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{res:{lalign 13:Total}}{c |}{space 11}{space 11}{space 11}{space 11}
|
|
{ralign 12:1} {c |} {ralign 9:{res:{sf: 2}}} {ralign 9:{res:{sf: 2.898551}}} {ralign 9:{res:{sf: 2.898551}}} {ralign 9:{res:{sf: 100}}}
|
|
{ralign 12:2} {c |} {ralign 9:{res:{sf: 8}}} {ralign 9:{res:{sf: 11.5942}}} {ralign 9:{res:{sf: 11.5942}}} {ralign 9:{res:{sf: 100}}}
|
|
{ralign 12:3} {c |} {ralign 9:{res:{sf: 30}}} {ralign 9:{res:{sf: 43.47826}}} {ralign 9:{res:{sf: 43.47826}}} {ralign 9:{res:{sf: 100}}}
|
|
{ralign 12:4} {c |} {ralign 9:{res:{sf: 18}}} {ralign 9:{res:{sf: 26.08696}}} {ralign 9:{res:{sf: 26.08696}}} {ralign 9:{res:{sf: 100}}}
|
|
{ralign 12:5} {c |} {ralign 9:{res:{sf: 11}}} {ralign 9:{res:{sf: 15.94203}}} {ralign 9:{res:{sf: 15.94203}}} {ralign 9:{res:{sf: 100}}}
|
|
{ralign 12:Total} {c |} {ralign 9:{res:{sf: 69}}} {ralign 9:{res:{sf: 100}}} {ralign 9:{res:{sf: 100}}} {ralign 9:{res:{sf: 100}}}
|
|
|
|
{com}. esttab ., cell(colpct(fmt(2))) unstack noobs
|
|
{res}
|
|
{txt}{hline 51}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt} Domestic Foreign Total
|
|
{txt} colpct colpct colpct
|
|
{txt}{hline 51}
|
|
{txt}1 {res} 4.17 0.00 2.90{txt}
|
|
{txt}2 {res} 16.67 0.00 11.59{txt}
|
|
{txt}3 {res} 56.25 14.29 43.48{txt}
|
|
{txt}4 {res} 18.75 42.86 26.09{txt}
|
|
{txt}5 {res} 4.17 42.86 15.94{txt}
|
|
{txt}Total {res} 100.00 100.00 100.00{txt}
|
|
{txt}{hline 51}
|
|
|
|
{com}. esttab ., cell(colpct(fmt(2)) count(fmt(g) par keep(Total))) ///
|
|
> collabels(none) unstack noobs nonumber nomtitle ///
|
|
> eqlabels(, lhs("Repair Rec.")) ///
|
|
> varlabels(, blist(Total "{c -(}hline @width{c )-}{c -(}break{c )-}"))
|
|
{res}
|
|
{txt}{hline 51}
|
|
{txt}Repair Rec. Domestic Foreign Total
|
|
{txt}{hline 51}
|
|
{txt}1 {res} 4.17 0.00 2.90{txt}
|
|
{txt}2 {res} 16.67 0.00 11.59{txt}
|
|
{txt}3 {res} 56.25 14.29 43.48{txt}
|
|
{txt}4 {res} 18.75 42.86 26.09{txt}
|
|
{txt}5 {res} 4.17 42.86 15.94{txt}
|
|
{txt}{hline 51}{break} Total {res} 100.00 100.00 100.00{txt}
|
|
{res} {txt}
|
|
{txt}{hline 51}
|
|
{* end example }{txt}{...}
|
|
|
|
{marker svy_tabulate}
|
|
{dlgtab:svy: tabulate}
|
|
|
|
{p 4 4 2}One-way table:
|
|
|
|
{p 8 15 2}
|
|
{cmd:estpost} {cmd:svy} [{it:vcetype}] [, {it:svy_options}] {cmd::} {cmdab:ta:bulate}
|
|
{it:varname} [{it:{help if}}] [{it:{help in}}]
|
|
[{cmd:,}
|
|
{cmdab:notot:al}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
{help svy_tabulate_oneway:{it:svy_tabulate_opts}}
|
|
]
|
|
|
|
{p 4 4 2}Two-way table:
|
|
|
|
{p 8 15 2}
|
|
{cmd:estpost} {cmd:svy} [{it:vcetype}] [, {it:svy_options}] {cmd::} {cmdab:ta:bulate}
|
|
{it:varname1} {it:varname2} [{it:{help if}}] [{it:{help in}}]
|
|
[{cmd:,}
|
|
{cmdab:notot:al}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
{help svy_tabulate_oneway:{it:svy_tabulate_opts}}
|
|
]
|
|
|
|
{p 4 4 2}
|
|
{cmd:estpost svy: tabulate} posts a one-way or two-way table
|
|
for complex survey data computed by {helpb svy_tabulate:svy: tabulate}. Stata 9 or newer
|
|
is required.
|
|
|
|
{p 4 4 2}
|
|
Options are as described in {helpb svy_tabulate_oneway:[SVY] svy: tabulate oneway} or
|
|
{helpb svy_tabulate_twoway:[SVY] svy: tabulate twoway}, respectively, and:
|
|
|
|
{p 8 12 2}
|
|
{cmdab:nototal} to omit row and column totals (synonym for {cmd:nomarginals}).
|
|
|
|
{p 8 12 2}
|
|
{cmd:quietly} to suppress the output.
|
|
|
|
{p 8 12 2}
|
|
{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
|
|
|
|
{p 4 4 2}{cmd:estpost svy: tabulate} posts results in {cmd:e()} (except {cmd:e(V)})
|
|
as documented in {helpb svy_tabulate_oneway:[SVY] svy: tabulate oneway} and
|
|
{helpb svy_tabulate_twoway:[SVY] svy: tabulate twoway}, respectively,
|
|
and adds or replaces the following matrices:
|
|
|
|
{lalign 10:{cmd:e(b)}}cell, column, or row proportions or percentages,
|
|
or weighted counts, depending on options
|
|
{lalign 10:{cmd:e(se)}}standard errors of {cmd:e(b)}
|
|
{lalign 10:{cmd:e(lb)}}lower confidence bounds for {cmd:e(b)}
|
|
{lalign 10:{cmd:e(ub)}}upper confidence bounds for {cmd:e(b)}
|
|
{lalign 10:{cmd:e(deff)}}deff for variances of {cmd:e(b)}
|
|
{lalign 10:{cmd:e(deft)}}deft for variances of {cmd:e(b)}
|
|
{lalign 10:{cmd:e(cell)}}cell proportion or percentages
|
|
{lalign 10:{cmd:e(row)}}row proportion or percentages (two-way only)
|
|
{lalign 10:{cmd:e(col)}}column proportion or percentages (two-way only)
|
|
{lalign 10:{cmd:e(count)}}weighted counts
|
|
{lalign 10:{cmd:e(obs)}}number of observations
|
|
|
|
{p 4 4 2}The value labels of the row variable are stored as names in the
|
|
saved vectors, unless
|
|
no label exceeds 30 characters or contains unsuitable characters in which case
|
|
the labels are stored in macro {cmd:e(labels)}. Type
|
|
{cmd:varlabels(`e(labels)')} in {helpb esttab} or {helpb estout} to
|
|
use the labels stored {cmd:e(labels)}. The value labels of the column variable
|
|
are stored as equation names or, alternatively,
|
|
in macro {cmd:e(eqlabels)}. Type {cmd:eqlabels(`e(eqlabels)')} in
|
|
{helpb esttab} or {helpb estout} to use the labels stored in {cmd:e(eqlabels)}.
|
|
|
|
{p 4 4 2}Examples:
|
|
|
|
{* begin example svy_tabulate }{...}
|
|
{com}. webuse nhanes2b, clear
|
|
{txt}
|
|
{com}. svyset psuid [pweight=finalwgt], strata(stratid)
|
|
|
|
{txt}pweight:{col 16}{res}finalwgt
|
|
{txt}VCE:{col 16}{res}linearized
|
|
{txt}Single unit:{col 16}{res}missing
|
|
{txt}Strata 1:{col 16}{res}stratid
|
|
{txt}SU 1:{col 16}{res}psuid
|
|
{txt}FPC 1:{col 16}<zero>
|
|
{p2colreset}{...}
|
|
|
|
{com}. estpost svy: tabulate race
|
|
{txt}(running tabulate on estimation sample)
|
|
|
|
{col 1}Number of strata{col 20}= {res} 31{txt}{col 48}Number of obs{col 67}= {res} 10351
|
|
{txt}{col 1}Number of PSUs{col 20}= {res} 62{txt}{col 48}Population size{col 67}={res} 117157513
|
|
{txt}{col 48}Design df{col 67}= {res} 31
|
|
|
|
{txt}{hline 10}{c TT}{hline 12}
|
|
1=white, {c |}
|
|
2=black, {c |}
|
|
3=other {c |} proportions
|
|
{hline 10}{c +}{hline 12}
|
|
White {c |} {res}.8792
|
|
{txt}Black {c |} {res}.0955
|
|
{txt}Other {c |} {res}.0253
|
|
{txt}{c |}
|
|
Total {c |} {res}1
|
|
{txt}{hline 10}{c BT}{hline 12}
|
|
Key: {col 1}proportions = {res}cell proportions
|
|
|
|
{txt}saved vectors:
|
|
e(b) = {res}cell proportions
|
|
{txt}e(se) = {res}standard errors of cell proportions
|
|
{txt}e(lb) = {res}lower 95% confidence bounds for cell proportions
|
|
{txt}e(ub) = {res}upper 95% confidence bounds for cell proportions
|
|
{txt}e(deff) = {res}deff for variances of cell proportions
|
|
{txt}e(deft) = {res}deft for variances of cell proportions
|
|
{txt}e(cell) = {res}cell proportions
|
|
{txt}e(count) = {res}weighted counts
|
|
{txt}e(obs) = {res}number of observations
|
|
{txt}
|
|
{com}. esttab ., cell("b(f(4)) se deft")
|
|
{res}
|
|
{txt}{hline 51}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt} b se deft
|
|
{txt}{hline 51}
|
|
{txt}White {res} 0.8792 0.0167 5.2090{txt}
|
|
{txt}Black {res} 0.0955 0.0127 4.4130{txt}
|
|
{txt}Other {res} 0.0253 0.0105 6.8246{txt}
|
|
{txt}Total {res} 1.0000 0.0000 {txt}
|
|
{txt}{hline 51}
|
|
{txt}N {res} 10351 {txt}
|
|
{txt}{hline 51}
|
|
|
|
{com}. estpost svy: tabulate race diabetes, row percent
|
|
{txt}(running tabulate on estimation sample)
|
|
|
|
{col 1}Number of strata{col 20}= {res} 31{txt}{col 48}Number of obs{col 67}= {res} 10349
|
|
{txt}{col 1}Number of PSUs{col 20}= {res} 62{txt}{col 48}Population size{col 67}={res} 117131111
|
|
{txt}{col 48}Design df{col 67}= {res} 31
|
|
|
|
{txt}{hline 10}{c TT}{hline 20}
|
|
1=white, {c |} diabetes, 1=yes,
|
|
2=black, {c |} 0=no
|
|
3=other {c |} 0 1 Total
|
|
{hline 10}{c +}{hline 20}
|
|
White {c |} {res}96.8 3.195 100
|
|
{txt}Black {c |} {res}94.1 5.903 100
|
|
{txt}Other {c |} {res}97.97 2.034 100
|
|
{txt}{c |}
|
|
Total {c |} {res}96.58 3.425 100
|
|
{txt}{hline 10}{c BT}{hline 20}
|
|
Key: {col 1}{res}row percentages
|
|
|
|
{txt} Pearson:
|
|
{col 5}Uncorrected{col 19}chi2({res}2{txt}){col 35}= {res} 21.3483
|
|
{txt}{col 5}Design-based{col 19}F({res}1.52{txt}, {res}47.26{txt}){col 35}= {res} 15.0056{col 51}{txt}P = {res}0.0000
|
|
|
|
{txt}saved vectors:
|
|
e(b) = {res}row percentages
|
|
{txt}e(se) = {res}standard errors of row percentages
|
|
{txt}e(lb) = {res}lower 95% confidence bounds for row percentages
|
|
{txt}e(ub) = {res}upper 95% confidence bounds for row percentages
|
|
{txt}e(deff) = {res}deff for variances of row percentages
|
|
{txt}e(deft) = {res}deft for variances of row percentages
|
|
{txt}e(cell) = {res}cell percentages
|
|
{txt}e(row) = {res}row percentages
|
|
{txt}e(col) = {res}column percentages
|
|
{txt}e(count) = {res}weighted counts
|
|
{txt}e(obs) = {res}number of observations
|
|
{txt}
|
|
{com}. esttab ., b(2) se(2) scalars(F_Pear) nostar unstack ///
|
|
> mtitle(`e(colvar)')
|
|
{res}
|
|
{txt}{hline 51}
|
|
{txt} (1)
|
|
{txt} diabetes
|
|
{txt} 0 1 Total
|
|
{txt}{hline 51}
|
|
{txt}White {res} 96.80 3.20 100.00{txt}
|
|
{res} {ralign 12:{txt:(}0.20{txt:)}} {ralign 12:{txt:(}0.20{txt:)}} {txt}
|
|
|
|
{txt}Black {res} 94.10 5.90 100.00{txt}
|
|
{res} {ralign 12:{txt:(}0.61{txt:)}} {ralign 12:{txt:(}0.61{txt:)}} {txt}
|
|
|
|
{txt}Other {res} 97.97 2.03 100.00{txt}
|
|
{res} {ralign 12:{txt:(}0.76{txt:)}} {ralign 12:{txt:(}0.76{txt:)}} {txt}
|
|
|
|
{txt}Total {res} 96.58 3.42 100.00{txt}
|
|
{res} {ralign 12:{txt:(}0.18{txt:)}} {ralign 12:{txt:(}0.18{txt:)}} {txt}
|
|
{txt}{hline 51}
|
|
{txt}N {res} 10349 {txt}
|
|
{txt}F_Pear {res} 15.01 {txt}
|
|
{txt}{hline 51}
|
|
{txt}Standard errors in parentheses
|
|
{* end example }{txt}{...}
|
|
|
|
{marker correlate}
|
|
{dlgtab:correlate}
|
|
|
|
{p 4 15 2}
|
|
{cmd:estpost} {cmdab:cor:relate}
|
|
{it:{help varlist}} [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
|
|
[{cmd:,}
|
|
{cmdab:m:atrix}
|
|
{cmdab:noh:alf}
|
|
{cmdab:print:(}{it:#}{cmd:)}
|
|
{cmdab:b:onferroni}
|
|
{cmdab:sid:ak}
|
|
{cmdab:list:wise}
|
|
{cmdab:case:wise}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
]
|
|
|
|
{p 4 4 2}
|
|
posts the pairwise correlations between the first variable in
|
|
{it:varlist} and the remaining variables. Alternatively, if the
|
|
{cmd:matrix} option is specified, all pairwise correlations among the
|
|
variable in {it:varlist} are posted.
|
|
|
|
{p 4 4 2}
|
|
{cmd:aweight}s, {cmd:fweight}s,
|
|
{cmd:iweight}s and {cmd:pweight}s are allowed; see {help weight}.
|
|
|
|
{p 4 4 2}
|
|
Methods and formulas are as described in
|
|
{helpb correlate:{bind:[R] correlate}}. However, if {cmd:pweight}s
|
|
are specified, the p-values of the correlations are computed
|
|
as suggested in the Stata FAQ on
|
|
{browse "http://www.stata.com/support/faqs/stat/survey.html":"Estimating correlations with survey data"}.
|
|
|
|
{p 4 4 2}
|
|
Options are:
|
|
|
|
{p 8 12 2}
|
|
{cmd:matrix} to return the (lower triangle) of the correlation
|
|
matrix of the variables in {it:varlist}. The default is to return
|
|
the pairwise correlations between the first variable in
|
|
{it:varlist} and the remaining variables.
|
|
|
|
{p 8 12 2}
|
|
{cmd:nohalf} to return the full correlation matrix rather than just
|
|
the lower triangle. {cmd:nohalf} has no effect unless {cmd:matrix}
|
|
is specified.
|
|
|
|
{p 8 12 2}
|
|
{cmd:print(}{it:#}{cmd:)} to suppress (leave blank)
|
|
correlation coefficients with a p-value larger than
|
|
{it:#}. {cmd:print()} only affects what is saved in
|
|
{cmd:e(rho)}, {cmd:e(p)}, and {cmd:e(count)}, but
|
|
not what is saved in {cmd:e(b)}.
|
|
|
|
{p 8 12 2}
|
|
{cmd:bonferroni} to apply the Bonferroni adjustment to the
|
|
p-values.
|
|
|
|
{p 8 12 2}
|
|
{cmd:sidak} to apply the Sidak adjustment to the
|
|
p-values.
|
|
|
|
{p 8 12 2}
|
|
{cmd:listwise} to handle missing values through listwise deletion,
|
|
meaning that an observation is omitted from the estimation sample
|
|
if any of the variables in {it:varlist} is missing for that
|
|
observation. The default is to handle missing values by pairwise
|
|
deletion, i.e. all available observations are used to calculate a
|
|
pairwise correlation without regard to whether variables outside
|
|
that pair are missing. {cmd:casewise} is a synonym for
|
|
{cmd:listwise}.
|
|
|
|
{p 8 12 2}
|
|
{cmd:quietly} to suppress the output.
|
|
|
|
{p 8 12 2}
|
|
{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
|
|
|
|
{p 4 4 2}The following vectors are saved in {cmd:e()}:
|
|
|
|
{lalign 13:{cmd:e(b)}}correlation coefficients
|
|
{lalign 13:{cmd:e(rho)}}correlation coefficients
|
|
{lalign 13:{cmd:e(p)}}p-values
|
|
{lalign 13:{cmd:e(count)}}number of observations
|
|
|
|
{p 4 4 2}Examples:
|
|
|
|
{* begin example correlate }{...}
|
|
{com}. sysuse auto, clear
|
|
{txt}(1978 Automobile Data)
|
|
|
|
{com}. estpost correlate price mpg turn foreign, matrix
|
|
|
|
{txt}{ralign 12:} {c |} {ralign 9:e(b)} {ralign 9:e(rho)} {ralign 9:e(p)} {ralign 9:e(count)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{res:{lalign 13:price}}{c |}{space 11}{space 11}{space 11}{space 11}
|
|
{ralign 12:price} {c |} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf:{space 9}}}} {ralign 9:{res:{sf: 74}}}
|
|
{ralign 12:mpg} {c |} {ralign 9:{res:{sf:-.4685967}}} {ralign 9:{res:{sf:-.4685967}}} {ralign 9:{res:{sf: .0000255}}} {ralign 9:{res:{sf: 74}}}
|
|
{ralign 12:turn} {c |} {ralign 9:{res:{sf: .3096174}}} {ralign 9:{res:{sf: .3096174}}} {ralign 9:{res:{sf: .0072662}}} {ralign 9:{res:{sf: 74}}}
|
|
{ralign 12:foreign} {c |} {ralign 9:{res:{sf: .0487195}}} {ralign 9:{res:{sf: .0487195}}} {ralign 9:{res:{sf: .6801851}}} {ralign 9:{res:{sf: 74}}}
|
|
{res:{lalign 13:mpg}}{c |}{space 11}{space 11}{space 11}{space 11}
|
|
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf:{space 9}}}} {ralign 9:{res:{sf: 74}}}
|
|
{ralign 12:turn} {c |} {ralign 9:{res:{sf:-.7191863}}} {ralign 9:{res:{sf:-.7191863}}} {ralign 9:{res:{sf: 5.30e-13}}} {ralign 9:{res:{sf: 74}}}
|
|
{ralign 12:foreign} {c |} {ralign 9:{res:{sf: .3933974}}} {ralign 9:{res:{sf: .3933974}}} {ralign 9:{res:{sf: .0005254}}} {ralign 9:{res:{sf: 74}}}
|
|
{res:{lalign 13:turn}}{c |}{space 11}{space 11}{space 11}{space 11}
|
|
{ralign 12:turn} {c |} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf:{space 9}}}} {ralign 9:{res:{sf: 74}}}
|
|
{ralign 12:foreign} {c |} {ralign 9:{res:{sf:-.6310965}}} {ralign 9:{res:{sf:-.6310965}}} {ralign 9:{res:{sf: 1.66e-09}}} {ralign 9:{res:{sf: 74}}}
|
|
{res:{lalign 13:foreign}}{c |}{space 11}{space 11}{space 11}{space 11}
|
|
{ralign 12:foreign} {c |} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf:{space 9}}}} {ralign 9:{res:{sf: 74}}}
|
|
|
|
{com}. esttab ., not unstack compress noobs
|
|
{res}
|
|
{txt}{hline 62}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt} price mpg turn foreign
|
|
{txt}{hline 62}
|
|
{txt}price {res} 1 {txt}
|
|
{txt}mpg {res} -0.469*** 1 {txt}
|
|
{txt}turn {res} 0.310** -0.719*** 1 {txt}
|
|
{txt}foreign {res} 0.0487 0.393*** -0.631*** 1 {txt}
|
|
{txt}{hline 62}
|
|
{txt}* p<0.05, ** p<0.01, *** p<0.001
|
|
|
|
{com}. bysort foreign: eststo: ///
|
|
> estpost correlate price turn weight rep78, listwise
|
|
|
|
{txt}{hline 60}
|
|
-> Domestic
|
|
|
|
{ralign 12:price} {c |} {ralign 9:e(b)} {ralign 9:e(rho)} {ralign 9:e(p)} {ralign 9:e(count)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:turn} {c |} {ralign 9:{res:{sf: .4328091}}} {ralign 9:{res:{sf: .4328091}}} {ralign 9:{res:{sf: .0021229}}} {ralign 9:{res:{sf: 48}}}
|
|
{ralign 12:weight} {c |} {ralign 9:{res:{sf: .6864719}}} {ralign 9:{res:{sf: .6864719}}} {ralign 9:{res:{sf: 7.19e-08}}} {ralign 9:{res:{sf: 48}}}
|
|
{ralign 12:rep78} {c |} {ralign 9:{res:{sf:-.0193249}}} {ralign 9:{res:{sf:-.0193249}}} {ralign 9:{res:{sf: .8962741}}} {ralign 9:{res:{sf: 48}}}
|
|
({res}est1{txt} stored)
|
|
|
|
{hline 60}
|
|
-> Foreign
|
|
|
|
{ralign 12:price} {c |} {ralign 9:e(b)} {ralign 9:e(rho)} {ralign 9:e(p)} {ralign 9:e(count)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:turn} {c |} {ralign 9:{res:{sf: .5102425}}} {ralign 9:{res:{sf: .5102425}}} {ralign 9:{res:{sf: .0181155}}} {ralign 9:{res:{sf: 21}}}
|
|
{ralign 12:weight} {c |} {ralign 9:{res:{sf: .8315886}}} {ralign 9:{res:{sf: .8315886}}} {ralign 9:{res:{sf: 2.99e-06}}} {ralign 9:{res:{sf: 21}}}
|
|
{ralign 12:rep78} {c |} {ralign 9:{res:{sf: .1797879}}} {ralign 9:{res:{sf: .1797879}}} {ralign 9:{res:{sf: .4354917}}} {ralign 9:{res:{sf: 21}}}
|
|
({res}est2{txt} stored)
|
|
|
|
{com}. esttab est1 est2, not mtitles
|
|
{res}
|
|
{txt}{hline 44}
|
|
{txt} (1) (2)
|
|
{txt} Domestic Foreign
|
|
{txt}{hline 44}
|
|
{txt}turn {res} 0.433** 0.510* {txt}
|
|
{txt}weight {res} 0.686*** 0.832***{txt}
|
|
{txt}rep78 {res} -0.0193 0.180 {txt}
|
|
{txt}{hline 44}
|
|
{txt}N {res} 48 21 {txt}
|
|
{txt}{hline 44}
|
|
{txt}* p<0.05, ** p<0.01, *** p<0.001
|
|
{* end example }{txt}{...}
|
|
|
|
{marker ci}
|
|
{dlgtab:ci}
|
|
|
|
{p 4 15 2}
|
|
{cmd:estpost} {cmdab:ci}
|
|
[{it:{help varlist}}] [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
|
|
[{cmd:,}
|
|
{cmdab:b:inomial}
|
|
{cmdab:p:oisson} {cmdab:e:xposure:(}{it:varname}{cmd:)}
|
|
{cmdab:ex:act} {cmdab:wa:ld} {cmdab:w:ilson} {cmdab:a:gresti} {cmdab:j:effreys}
|
|
{cmdab:l:evel:(}{it:#}{cmd:)}
|
|
{cmdab:list:wise}
|
|
{cmdab:case:wise}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
]
|
|
|
|
{p 4 4 2}
|
|
posts standard errors and confidence intervals computed by
|
|
{helpb ci}. {cmd:aweight}s and {cmd:fweight}s are allowed,
|
|
but {cmd:aweight}s may not be specified with options
|
|
{cmd:binomial} or {cmd:poisson};
|
|
see {help weight}.
|
|
|
|
{p 4 4 2}
|
|
Options are:
|
|
|
|
{p 8 12 2}
|
|
{cmd:binomial}, {cmd:poisson}, {cmd:exposure()},
|
|
{cmd:exact}, {cmd:wald}, {cmd:wilson}, {cmd:agresti},
|
|
{cmd:jeffreys}, and {cmd:level()}
|
|
as described in help {helpb ci}.
|
|
|
|
{p 8 12 2}
|
|
{cmd:listwise} to handle missing values through listwise deletion,
|
|
meaning that an observation is omitted from the estimation
|
|
sample if any of the variables in {it:varlist} is missing for that
|
|
observation. The default is to determine the used observations for
|
|
each variable separately without regard to whether other variables
|
|
are missing. {cmd:casewise} is a synonym for {cmd:listwise}.
|
|
|
|
{p 8 12 2}
|
|
{cmd:quietly} to suppress the output.
|
|
|
|
{p 8 12 2}
|
|
{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
|
|
|
|
{p 4 4 2}The following results vectors are saved in {cmd:e()}:
|
|
|
|
{lalign 13:{cmd:e(b)}}mean
|
|
{lalign 13:{cmd:e(count)}}number of observations
|
|
{lalign 13:{cmd:e(se)}}estimate of standard error
|
|
{lalign 13:{cmd:e(lb)}}lower bound of confidence interval
|
|
{lalign 13:{cmd:e(ub)}}upper bound of confidence interval
|
|
|
|
{p 4 4 2}
|
|
Examples:
|
|
|
|
{* begin example ci }{...}
|
|
{com}. sysuse auto, clear
|
|
{txt}(1978 Automobile Data)
|
|
|
|
{com}. estpost ci price mpg rep78, listwise
|
|
{txt}(confidence level is 95%)
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(b)} {ralign 9:e(count)} {ralign 9:e(se)} {ralign 9:e(lb)} {ralign 9:e(ub)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:price} {c |} {ralign 9:{res:{sf: 6146.043}}} {ralign 9:{res:{sf: 69}}} {ralign 9:{res:{sf: 350.6166}}} {ralign 9:{res:{sf: 5446.399}}} {ralign 9:{res:{sf: 6845.688}}}
|
|
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 21.28986}}} {ralign 9:{res:{sf: 69}}} {ralign 9:{res:{sf: .7062326}}} {ralign 9:{res:{sf: 19.88059}}} {ralign 9:{res:{sf: 22.69912}}}
|
|
{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 3.405797}}} {ralign 9:{res:{sf: 69}}} {ralign 9:{res:{sf: .1191738}}} {ralign 9:{res:{sf: 3.167989}}} {ralign 9:{res:{sf: 3.643605}}}
|
|
|
|
{com}. esttab ., cells("b lb ub") label
|
|
{res}
|
|
{txt}{hline 59}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt} b lb ub
|
|
{txt}{hline 59}
|
|
{txt}Price {res} 6146.043 5446.399 6845.688{txt}
|
|
{txt}Mileage (mpg) {res} 21.28986 19.88059 22.69912{txt}
|
|
{txt}Repair Record 1978 {res} 3.405797 3.167989 3.643605{txt}
|
|
{txt}{hline 59}
|
|
{txt}Observations {res} 69 {txt}
|
|
{txt}{hline 59}
|
|
|
|
{com}. eststo exact: estpost ci foreign, binomial exact
|
|
{txt}(confidence level is 95%)
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(b)} {ralign 9:e(count)} {ralign 9:e(se)} {ralign 9:e(lb)} {ralign 9:e(ub)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:foreign} {c |} {ralign 9:{res:{sf: .2972973}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: .0531331}}} {ralign 9:{res:{sf: .196584}}} {ralign 9:{res:{sf: .4148353}}}
|
|
|
|
{com}. eststo agresti: estpost ci foreign, binomial agresti
|
|
{txt}(confidence level is 95%)
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(b)} {ralign 9:e(count)} {ralign 9:e(se)} {ralign 9:e(lb)} {ralign 9:e(ub)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:foreign} {c |} {ralign 9:{res:{sf: .2972973}}} {ralign 9:{res:{sf: 74}}} {ralign 9:{res:{sf: .0531331}}} {ralign 9:{res:{sf: .204807}}} {ralign 9:{res:{sf: .4097942}}}
|
|
|
|
{com}. esttab exact agresti, cells(lb ub) mtitles
|
|
{res}
|
|
{txt}{hline 38}
|
|
{txt} (1) (2)
|
|
{txt} exact agresti
|
|
{txt} lb/ub lb/ub
|
|
{txt}{hline 38}
|
|
{txt}foreign {res} .196584 .204807{txt}
|
|
{res} .4148353 .4097942{txt}
|
|
{txt}{hline 38}
|
|
{txt}N {res} 74 74{txt}
|
|
{txt}{hline 38}
|
|
{* end example }{txt}{...}
|
|
|
|
{marker stci}
|
|
{dlgtab:stci}
|
|
|
|
{p 4 15 2}
|
|
{cmd:estpost} {cmd:stci}
|
|
[{it:{help if}}] [{it:{help in}}]
|
|
[{cmd:,}
|
|
{cmd:by(}{it:groupvar}{cmd:)}
|
|
{cmdab:m:edian}
|
|
{cmdab:r:mean}
|
|
{cmdab:e:mean}
|
|
{cmd:p(}{it:#}{cmd:)}
|
|
{cmdab:cc:orr}
|
|
{cmdab:l:evel:(}{it:#}{cmd:)}
|
|
{cmdab:q:uietly}
|
|
{cmdab:es:ample}
|
|
]
|
|
|
|
{p 4 4 2}
|
|
posts confidence intervals for means
|
|
and percentiles of survival time computed by {helpb stci}. Stata 9 or
|
|
newer is required.
|
|
|
|
{p 4 4 2}
|
|
Options are:
|
|
|
|
{p 8 12 2}
|
|
{cmd:by(}{it:groupvar}{cmd:)}
|
|
to report separate summaries for each group defined by
|
|
{it:groupvar}, along with an overall total.
|
|
|
|
{p 8 12 2}
|
|
{cmd:median},
|
|
{cmd:rmean},
|
|
{cmd:emean},
|
|
{cmd:p()},
|
|
{cmd:ccorr}, and
|
|
{cmd:level()}
|
|
as described in help {helpb stci}.
|
|
|
|
{p 8 12 2}
|
|
{cmd:quietly} to suppress the output.
|
|
|
|
{p 8 12 2}
|
|
{cmd:esample} to mark the estimation sample in {cmd:e(sample)}.
|
|
|
|
{p 4 4 2}The following vectors are saved in {cmd:e()}:
|
|
|
|
{lalign 13:{cmd:e(count)}}number of subjects
|
|
{lalign 13:{cmd:e(p50)}}median (if {cmd:median} specified; the default)
|
|
{lalign 13:{cmd:e(p}{it:#}{cmd:)}}#th percentile (if {cmd:p(}{it:#}{cmd:)} specified)
|
|
{lalign 13:{cmd:e(rmean)}}restricted mean (if {cmd:rmean} specified)
|
|
{lalign 13:{cmd:e(emean)}}extended mean (if {cmd:emean} specified)
|
|
{lalign 13:{cmd:e(se)}}standard error
|
|
{lalign 13:{cmd:e(lb)}}lower bound of CI
|
|
{lalign 13:{cmd:e(ub)}}upper bound of CI
|
|
|
|
{p 4 4 2}
|
|
Examples:
|
|
|
|
{* begin example stci }{...}
|
|
{com}. webuse page2, clear
|
|
{txt}
|
|
{com}. estpost stci
|
|
{txt}(confidence level is 95%)
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(count)} {ralign 9:e(p50)} {ralign 9:e(se)} {ralign 9:e(lb)} {ralign 9:e(ub)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:total} {c |} {ralign 9:{res:{sf: 40}}} {ralign 9:{res:{sf: 232}}} {ralign 9:{res:{sf: 2.562933}}} {ralign 9:{res:{sf: 213}}} {ralign 9:{res:{sf: 239}}}
|
|
|
|
{com}. esttab ., cell("count p50 se lb ub") noobs compress
|
|
{res}
|
|
{txt}{hline 60}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt} count p50 se lb ub
|
|
{txt}{hline 60}
|
|
{txt}total {res} 40 232 2.562933 213 239{txt}
|
|
{txt}{hline 60}
|
|
|
|
{com}. estpost stci, by(group)
|
|
{txt}(confidence level is 95%)
|
|
|
|
{ralign 12:} {c |} {ralign 9:e(count)} {ralign 9:e(p50)} {ralign 9:e(se)} {ralign 9:e(lb)} {ralign 9:e(ub)}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:1} {c |} {ralign 9:{res:{sf: 19}}} {ralign 9:{res:{sf: 216}}} {ralign 9:{res:{sf: 5.171042}}} {ralign 9:{res:{sf: 190}}} {ralign 9:{res:{sf: 234}}}
|
|
{ralign 12:2} {c |} {ralign 9:{res:{sf: 21}}} {ralign 9:{res:{sf: 233}}} {ralign 9:{res:{sf: 2.179595}}} {ralign 9:{res:{sf: 232}}} {ralign 9:{res:{sf: 280}}}
|
|
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
|
|
{ralign 12:total} {c |} {ralign 9:{res:{sf: 40}}} {ralign 9:{res:{sf: 232}}} {ralign 9:{res:{sf: 2.562933}}} {ralign 9:{res:{sf: 213}}} {ralign 9:{res:{sf: 239}}}
|
|
|
|
{com}. esttab ., cell("count p50 se lb ub") noobs compress
|
|
{res}
|
|
{txt}{hline 60}
|
|
{txt} (1)
|
|
{txt}
|
|
{txt} count p50 se lb ub
|
|
{txt}{hline 60}
|
|
{txt}1 {res} 19 216 5.171042 190 234{txt}
|
|
{txt}2 {res} 21 233 2.179595 232 280{txt}
|
|
{txt}total {res} 40 232 2.562933 213 239{txt}
|
|
{txt}{hline 60}
|
|
{* end example }{txt}{...}
|
|
|
|
{marker margins}
|
|
{dlgtab:margins}
|
|
|
|
{p 4 15 2}
|
|
{cmd:estpost} {cmd:margins}
|
|
[{it:{help fvvarlist:marginlist}}] [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
|
|
[{cmd:,}
|
|
{cmdab:q:uietly}
|
|
{it:{help margins:margins_opions}}
|
|
]
|
|
|
|
{p 4 4 2}
|
|
posts results from the {helpb margins} command, that was introduced in
|
|
Stata 11.
|
|
|
|
{p 4 4 2}
|
|
Options are:
|
|
|
|
{p 8 12 2}
|
|
{cmd:quietly} to suppress the output.
|
|
|
|
{p 8 12 2}
|
|
{it:margins_opions} as described in help {helpb margins} (except {cmd:post}).
|
|
|
|
{p 4 4 2}{cmd:estpost margins} replaces the current {cmd:e(b)} and
|
|
{cmd:e(V)} with {cmd:r(b)} and {cmd:r(V)} from {helpb margins} and
|
|
also copies all other matrixes, scalars, and macros from {helpb margins} into
|
|
{cmd:e()} (possibly replacing identically named existing entries).
|
|
|
|
{p 4 4 2}
|
|
Examples:
|
|
|
|
{* begin example margins }{...}
|
|
{com}. sysuse auto, clear
|
|
{txt}(1978 Automobile Data)
|
|
|
|
{com}. quietly logit foreign price mpg weight
|
|
{txt}
|
|
{com}. estpost margins, dydx(*) quietly
|
|
{txt}
|
|
{com}. esttab ., cell("b se") pr2
|
|
{res}
|
|
{txt}{hline 38}
|
|
{txt} (1)
|
|
{txt} foreign
|
|
{txt} b se
|
|
{txt}{hline 38}
|
|
{txt}price {res} .0000686 .0000136{txt}
|
|
{txt}mpg {res} -.0089607 .006596{txt}
|
|
{txt}weight {res} -.0005069 .000055{txt}
|
|
{txt}{hline 38}
|
|
{txt}N {res} 74 {txt}
|
|
{txt}pseudo R-sq {res} 0.619 {txt}
|
|
{txt}{hline 38}
|
|
{* end example }{txt}{...}
|
|
|
|
|
|
{title:Author}
|
|
|
|
{p 4 4 2} Ben Jann, ETH Zurich, jannb@ethz.ch
|
|
|
|
|
|
{title:Also see}
|
|
|
|
Manual: {hi:[R] estimates}
|
|
|
|
{p 4 13 2}Online: help for
|
|
{helpb estimates},
|
|
{helpb estout},
|
|
{helpb esttab},
|
|
{helpb eststo},
|
|
{helpb estadd}
|
|
{p_end}
|