corentinchoisy
/
simul_confusion
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
master
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'aeb1160614'
${ noResults }
simul_confusion/Modules/ado/plus/e/estpost.hlp

1323 lines
59 KiB
Plaintext
Raw Normal View History Unescape Escape

Initial commit
7 months ago
{smcl}
{* 08oct2009}{...}
{hi:help estpost}{right:also see: {helpb esttab}, {helpb estout}, {helpb eststo}, {helpb estadd}}
{right: {browse "http://repec.org/bocode/e/estout"}}
{hline}
{title:Title}
{p 4 4 2}{hi:estpost} {hline 2} Post results from various commands in {cmd:e()}
{title:Syntax}
{p 8 15 2}
{cmd:estpost} {it:{help estpost##commands:command}} [...]
{marker commands}
{it:command}{col 26}description
{hline 64}
{helpb estpost##summarize:{ul:su}mmarize}{col 26}{...}
post summary statistics
{helpb estpost##tabstat:tabstat}{col 26}{...}
post summary statistics
{helpb estpost##ttest:ttest}{col 26}{...}
post two-group mean-comparison tests
{helpb estpost##prtest:prtest}{col 26}{...}
post two-group tests of proportions
{helpb estpost##tabulate:{ul:ta}bulate}{col 26}{...}
post one-way or two-way frequency table
{helpb estpost##svy_tabulate:svy: {ul:ta}bulate}{col 26}{...}
post frequency table for survey data
{helpb estpost##correlate:{ul:cor}relate}{col 26}{...}
post correlations
{helpb estpost##ci:ci}{col 26}{...}
post confidence intervals for means,
{col 26}{...}
proportions, or counts
{helpb estpost##stci:stci}{col 26}{...}
post confidence intervals for means
{col 26}{...}
and percentiles of survival time
{helpb estpost##margins:margins}{col 26}{...}
post results from {cmd:margins} (Stata 11)
{hline 64}
{title:Description}
{p 4 4 2}
{cmd:estpost} posts results from various Stata commands in {cmd:e()}
so that they can be tabulated using {helpb esttab} or {helpb estout}. Type
{helpb ereturn:ereturn list} after {cmd:estpost} to list the elements saved
in {cmd:e()}.
{title:Commands}
{marker summarize}
{dlgtab:summarize}
{p 4 15 2}
{cmd:estpost} {cmdab:su:mmarize}
[{it:{help varlist}}] [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
[{cmd:,}
{cmdab:d:etail}
{cmdab:mean:only}
{cmdab:list:wise}
{cmdab:case:wise}
{cmdab:q:uietly}
{cmdab:es:ample}
]
{p 4 4 2}
posts summary statistics computed by {helpb summarize}. If no
{it:varlist} is specified, summary statistics are calculated for all
variables in the dataset.
{p 4 4 2}
{cmd:aweight}s, {cmd:fweight}s, and {cmd:iweight}s are allowed
(however, {cmd:iweight}s may not be used with the {cmd:detail} option);
see {help weight}.
{p 4 4 2}
Options are:
{p 8 12 2}
{cmd:detail} and {cmd:meanonly} as described in help {helpb summarize}.
{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(count)}}number of observations
{lalign 13:{cmd:e(mean)}}mean
{lalign 13:{cmd:e(min)}}minimum
{lalign 13:{cmd:e(max)}}maximum
{lalign 13:{cmd:e(sum)}}sum of variable
{lalign 13:{cmd:e(sum_w)}}sum of the weights
{lalign 13:{cmd:e(Var)}}variance (unless {cmd:meanonly})
{lalign 13:{cmd:e(sd)}}standard deviation (unless {cmd:meanonly})
{lalign 13:{cmd:e(p1)}}1st percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p5)}}5th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p10)}}10th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p25)}}25th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p50)}}50th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p75)}}75th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p90)}}90th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p95)}}95th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(p99)}}99th percentile ({cmd:detail} only)
{lalign 13:{cmd:e(skewness)}}skewness ({cmd:detail} only)
{lalign 13:{cmd:e(kurtosis)}}kurtosis ({cmd:detail} only)
{p 4 4 2}
Example:
{* begin example summarize }{...}
{com}. sysuse auto, clear
{txt}(1978 Automobile Data)
{com}. estpost summarize price mpg rep78 foreign
{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)}
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{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}}}
{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}}}
{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}}}
{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}}}
{ralign 12:} {c |} {ralign 9:e(min)} {ralign 9:e(max)} {ralign 9:e(sum)}
{hline 13}{c +}{hline 11}{hline 11}{hline 11}
{ralign 12:price} {c |} {ralign 9:{res:{sf: 3291}}} {ralign 9:{res:{sf: 15906}}} {ralign 9:{res:{sf: 456229}}}
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 12}}} {ralign 9:{res:{sf: 41}}} {ralign 9:{res:{sf: 1576}}}
{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 5}}} {ralign 9:{res:{sf: 235}}}
{ralign 12:foreign} {c |} {ralign 9:{res:{sf: 0}}} {ralign 9:{res:{sf: 1}}} {ralign 9:{res:{sf: 22}}}
{com}. esttab ., cells("mean sd count") noobs
{res}
{txt}{hline 51}
{txt} (1)
{txt}
{txt} mean sd count
{txt}{hline 51}
{txt}price {res} 6165.257 2949.496 74{txt}
{txt}mpg {res} 21.2973 5.785503 74{txt}
{txt}rep78 {res} 3.405797 .9899323 69{txt}
{txt}foreign {res} .2972973 .4601885 74{txt}
{txt}{hline 51}
{* end example }{txt}{...}
{marker tabstat}
{dlgtab:tabstat}
{p 4 15 2}
{cmd:estpost} {cmdab:tabstat}
{it:{help varlist}} [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}]
[{cmd:,}
{cmdab:s:tatistics:(}{it:{help tabstat##statname:statname}} [{it:...}]{cmd:)}
{cmdab:c:olumns:(}{cmdab:v:ariables}|{cmdab:s:tatistics:)}
{cmd:by(}{it:varname}{cmd:)}
{cmdab:not:otal}
{cmdab:m:issing}
{cmdab:list:wise}
{cmdab:case:wise}
{cmdab:q:uietly}
{cmdab:es:ample}
]
{p 4 4 2}
posts summary statistics computed by {helpb tabstat}. {cmd:aweight}s and
{cmd:fweight}s are allowed; see {help weight}.
{p 4 4 2}
Options are:
{p 8 12 2}
{cmd:statistics()}, {cmd:columns()}, {cmd:by()}, {cmd:nototal},
and {cmd:missing} as described in help {helpb tabstat}.
{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}A vector of results is saved in {cmd:e()} for each specified
variable or statistic, depending on {cmd:columns()}.
{p 4 4 2}
Examples:
{* begin example tabstat }{...}
{com}. sysuse auto, clear
{txt}(1978 Automobile Data)
{com}. estpost tabstat price mpg rep78, listwise ///
> statistics(mean sd)
{txt}Summary statistics: mean sd
for variables: price mpg rep78
{ralign 12:} {c |} {ralign 9:e(price)} {ralign 9:e(mpg)} {ralign 9:e(rep78)}
{hline 13}{c +}{hline 11}{hline 11}{hline 11}
{ralign 12:mean} {c |} {ralign 9:{res:{sf: 6146.043}}} {ralign 9:{res:{sf: 21.28986}}} {ralign 9:{res:{sf: 3.405797}}}
{ralign 12:sd} {c |} {ralign 9:{res:{sf: 2912.44}}} {ralign 9:{res:{sf: 5.866408}}} {ralign 9:{res:{sf: .9899323}}}
{com}. esttab ., cells("price mpg rep78")
{res}
{txt}{hline 51}
{txt} (1)
{txt}
{txt} price mpg rep78
{txt}{hline 51}
{txt}mean {res} 6146.043 21.28986 3.405797{txt}
{txt}sd {res} 2912.44 5.866408 .9899323{txt}
{txt}{hline 51}
{txt}N {res} 69 {txt}
{txt}{hline 51}
{com}. estpost tabstat price mpg rep78, listwise ///
> statistics(mean sd) columns(statistics)
{txt}Summary statistics: mean sd
for variables: price mpg rep78
{ralign 12:} {c |} {ralign 9:e(mean)} {ralign 9:e(sd)}
{hline 13}{c +}{hline 11}{hline 11}
{ralign 12:price} {c |} {ralign 9:{res:{sf: 6146.043}}} {ralign 9:{res:{sf: 2912.44}}}
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 21.28986}}} {ralign 9:{res:{sf: 5.866408}}}
{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 3.405797}}} {ralign 9:{res:{sf: .9899323}}}
{com}. esttab ., cells("mean(fmt(a3)) sd")
{res}
{txt}{hline 38}
{txt} (1)
{txt}
{txt} mean sd
{txt}{hline 38}
{txt}price {res} 6146.0 2912.4{txt}
{txt}mpg {res} 21.29 5.866{txt}
{txt}rep78 {res} 3.406 0.990{txt}
{txt}{hline 38}
{txt}N {res} 69 {txt}
{txt}{hline 38}
{com}. estpost tabstat price mpg rep78, by(foreign) ///
> statistics(mean sd) columns(statistics) listwise
{txt}Summary statistics: mean sd
for variables: price mpg rep78
by categories of: foreign
{ralign 12:foreign} {c |} {ralign 9:e(mean)} {ralign 9:e(sd)}
{hline 13}{c +}{hline 11}{hline 11}
{res:{lalign 13:Domestic}}{c |}{space 11}{space 11}
{ralign 12:price} {c |} {ralign 9:{res:{sf: 6179.25}}} {ralign 9:{res:{sf: 3188.969}}}
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 19.54167}}} {ralign 9:{res:{sf: 4.753312}}}
{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 3.020833}}} {ralign 9:{res:{sf: .837666}}}
{hline 13}{c +}{hline 11}{hline 11}
{res:{lalign 13:Foreign}}{c |}{space 11}{space 11}
{ralign 12:price} {c |} {ralign 9:{res:{sf: 6070.143}}} {ralign 9:{res:{sf: 2220.984}}}
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 25.28571}}} {ralign 9:{res:{sf: 6.309856}}}
{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 4.285714}}} {ralign 9:{res:{sf: .7171372}}}
{hline 13}{c +}{hline 11}{hline 11}
{res:{lalign 13:Total}}{c |}{space 11}{space 11}
{ralign 12:price} {c |} {ralign 9:{res:{sf: 6146.043}}} {ralign 9:{res:{sf: 2912.44}}}
{ralign 12:mpg} {c |} {ralign 9:{res:{sf: 21.28986}}} {ralign 9:{res:{sf: 5.866408}}}
{ralign 12:rep78} {c |} {ralign 9:{res:{sf: 3.405797}}} {ralign 9:{res:{sf: .9899323}}}
{com}. esttab ., main(mean) aux(sd) nostar unstack ///
> noobs nonote label
{res}
{txt}{hline 59}
{txt} (1)
{txt}
{txt} Domestic Foreign Total
{txt}{hline 59}
{txt}Price {res} 6179.3 6070.1 6146.0{txt}
{res} {ralign 12:{txt:(}3189.0{txt:)}} {ralign 12:{txt:(}2221.0{txt:)}} {ralign 12:{txt:(}2912.4{txt:)}}{txt}
{txt}Mileage (mpg) {res} 19.54 25.29 21.29{txt}
{res} {ralign 12:{txt:(}4.753{txt:)}} {ralign 12:{txt:(}6.310{txt:)}} {ralign 12:{txt:(}5.866{txt:)}}{txt}
{txt}Repair Record 1978 {res} 3.021 4.286 3.406{txt}
{res} {ralign 12:{txt:(}0.838{txt:)}} {ralign 12:{txt:(}0.717{txt:)}} {ralign 12:{txt:(}0.990{txt:)}}{txt}
{txt}{hline 59}
{* end example }{txt}{...}
{marker ttest}
{dlgtab:ttest}
{p 4 15 2}
{cmd:estpost} {cmdab:ttest}
{it:{help varlist}} [{it:{help if}}] [{it:{help in}}]{cmd:,}
{cmd:by(}{it:groupvar}{cmd:)}
[
{cmdab:une:qual} {cmdab:w:elch}
{cmdab:list:wise}
{cmdab:case:wise}
{cmdab:q:uietly}
{cmdab:es:ample}
]
{p 4 4 2}
posts two-group mean-comparison tests computed by {helpb ttest}.
{p 4 4 2}
Options are:
{p 8 12 2}
{cmd:by()}, {cmd:unequal}, and {cmd:welch} as described in
help {helpb ttest}.
{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 difference
{lalign 13:{cmd:e(count)}}number of observations
{lalign 13:{cmd:e(se)}}standard error of difference
{lalign 13:{cmd:e(t)}}t statistic
{lalign 13:{cmd:e(df_t)}}degrees of freedom
{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(mu_1)}}mean in group 1
{lalign 13:{cmd:e(N_2)}}number of observations in group 2
{lalign 13:{cmd:e(mu_2)}}mean in group 2
{p 4 4 2}
Example:
{* begin example ttest }{...}
{com}. sysuse auto, clear
{txt}(1978 Automobile Data)
{com}. estpost ttest price mpg headroom trunk, by(foreign)
{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)}
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{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}}}
{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}}}
{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}}}
{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}}}
{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)}
{hline 13}{c +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{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}}}
{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}