| {smcl} | |
| {* 19may2021}{...} | |
| {hi:help estpost}{right:also see: {helpb esttab}, {helpb estout}, {helpb eststo}, {helpb estadd}} | |
| {right: {browse "http://repec.sowi.unibe.ch/stata/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 79} | |
| {helpb estpost##summarize:{ul:su}mmarize}{col 26}{...} | |
| post summary statistics | |
| {helpb estpost##tabstat:tabstat}{col 26}{...} | |
| post summary statistics | |
| {helpb estpost##gtabstat:gtabstat}{col 26}{...} | |
| post summary statistics (using {helpb gstats tab} from {helpb gtools}) | |
| {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 or newer) | |
| {hline 79} | |
| {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} | |
| {cmdab:el:abels} | |
| ] | |
| {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 8 12 2} | |
| {cmd:elabels} to enforce saving the {cmd:by()} values/labels in macro | |
| {cmd:e(labels)}. | |
| {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 gtabstat} | |
| {dlgtab:gtabstat} | |
| {p 4 15 2} | |
| {cmd:estpost} {cmdab:gtabstat} | |
| {it:{help varlist}} [{it:{help if}}] [{it:{help in}}] [{it:{help weight}}] | |
| [{cmd:,} | |
| {cmdab:s:tatistics:(}{it:{help gstats tab##statname:statname}} [{it:...}]{cmd:)} | |
| {cmdab:c:olumns:(}{cmdab:v:ariables}|{cmdab:s:tatistics:)} | |
| {cmd:by(}{it:varname}{cmd:)} | |
| {cmdab:m:issing} | |
| {cmdab:q:uietly} | |
| {cmdab:es:ample} | |
| {cmdab:el:abels} | |
| ] | |
| {p 4 4 2} | |
| posts summary statistics computed by {helpb gstats tab} from | |
| the {helpb gtools} package. {cmd:gstats tab} is a fast, by-able | |
| alternative to {cmd:tabstat}. {cmd:aweight}s, {cmd:fweight}s, {cmd:pweight}s | |
| and {cmd:pweight}s are allowed; see {help weight}. However, {cmd:total}, {cmd:casewise}, | |
| and {cmd:listwise} are not allowed. | |
| {p 4 4 2} | |
| Options are: | |
| {p 8 12 2} | |
| {cmd:statistics()}, {cmd:columns()}, and {cmd:by()} as described | |
| in help {helpb gstats tab}. By default {cmd:nomissing} is passed; | |
| use {cmd:missing} to include missing-value groups. | |
| {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 8 12 2} | |
| {cmd:elabels} to enforce saving the {cmd:by()} values/labels in macro | |
| {cmd:e(labels)}. | |
| {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 gtabstat }{...} | |
| {com}. sysuse auto, clear | |
| {txt}(1978 Automobile Data) | |
| {com}. estpost gtabstat price mpg rep78, /// | |
| > 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 gtabstat price mpg rep78, /// | |
| > 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 gtabstat price mpg rep78, by(foreign) /// | |
| > statistics(mean sd) columns(statistics) | |
| {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} | |
| {cmdab:el:abels} | |
| ] | |
| {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} | |
| {cmdab:el:abels} | |
| ] | |
| {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 8 12 2} | |
| {cmd:elabels} to enforce saving labels in {cmd:e(labels)} and | |
| {cmd:e(eqlabels)}. | |
| {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)}. Specify the {cmd:elabels} option to enforce saving labels | |
| in {cmd:e(labels)} and {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} | |
| {cmdab:el:abels} | |
| {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} | |
| {cmdab:el:abels} | |
| {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 8 12 2} | |
| {cmd:elabels} to enforce saving labels in {cmd:e(labels)} and | |
| {cmd:e(eqlabels)}. | |
| {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)}. Specify the {cmd:elabels} option to enforce saving labels | |
| in {cmd:e(labels)} and {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} | |
| {cmdab:el:abels}[{cmd:(}{it:pfx} {it:sfx}{cmd:)}] | |
| {cmdab:nol:abel} | |
| ] | |
| {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 8 12 2} | |
| {cmd:elabels}[{cmd:(}{it:pfx} {it:sfx}{cmd:)}] stores numbered labels in | |
| {cmd:e(labels)} and {cmd:e(eqlabels)} if option {cmd:matrix} has been | |
| specified. This is useful if you want to tabulate a correlation | |
| matrix. See below for an example. Specify {it:pfx} and | |
| {it:sfx} to provide a prefix and suffix for the numbers; for | |
| example, {cmd:eqlabels([ ])} will format the numbers as | |
| {cmd:[1]}, {cmd:[2]}, etc.; {cmd:eqlabels("" .)} will format the numbers as | |
| {cmd:1.}, {cmd:2.}, etc. | |
| {p 8 12 2} | |
| {cmd:nolabel} causes option {cmd:elabels()} to use variable names rather | |
| than variable labels. | |
| {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 elabels(( )) | |
| {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}. esttab ., not unstack compress noobs nonum nomtitle /// | |
| > varwidth(21) varlabels(`e(labels)') eqlabels(`e(eqlabels)') | |
| {res} | |
| {txt}{hline 73} | |
| {txt} (1) (2) (3) (4) | |
| {txt}{hline 73} | |
| {txt}(1) Price {res} 1 {txt} | |
| {txt}(2) Mileage (mpg) {res} -0.469*** 1 {txt} | |
| {txt}(3) Turn circle (ft.){res} 0.310** -0.719*** 1 {txt} | |
| {txt}(4) Car origin {res} 0.0487 0.393*** -0.631*** 1 {txt} | |
| {txt}{hline 73} | |
| {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} | |
| {cmdab:el:abels} | |
| ] | |
| {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 8 12 2} | |
| {cmd:elabels} to enforce saving {cmd:by()} labels in {cmd:e(labels)}. | |
| {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, Institute of Sociology, University of Bern, jann@soz.unibe.ch | |
| {p 4 4 2} {cmd:estpost gtabstat} has been contributed by Mauricio Caceres Bravo. | |
| {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} | |