Title
estpost -- Post results from various commands in e()
Syntax
estpost command [...]
command description ---------------------------------------------------------------- summarize post summary statistics tabstat post summary statistics ttest post two-group mean-comparison tests prtest post two-group tests of proportions tabulate post one-way or two-way frequency table svy: tabulate post frequency table for survey data correlate post correlations ci post confidence intervals for means, proportions, or counts stci post confidence intervals for means and percentiles of survival time margins post results from margins (Stata 11) ----------------------------------------------------------------
Description
estpost posts results from various Stata commands in e() so that they can be tabulated using esttab or estout. Type ereturn list after estpost to list the elements saved in e().
+-----------+ ----+ summarize +--------------------------------------------------------
estpost summarize [varlist] [if] [in] [weight] [, detail meanonly listwise casewise quietly esample ]
posts summary statistics computed by summarize. If no varlist is specified, summary statistics are calculated for all variables in the dataset.
aweights, fweights, and iweights are allowed (however, iweights may not be used with the detail option); see weight.
Options are:
detail and meanonly as described in help summarize.
listwise to handle missing values through listwise deletion, meaning that an observation is omitted from the estimation sample if any of the variables in 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. casewise is a synonym for listwise.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
The following results vectors are saved in e():
e(count) number of observations e(mean) mean e(min) minimum e(max) maximum e(sum) sum of variable e(sum_w) sum of the weights e(Var) variance (unless meanonly) e(sd) standard deviation (unless meanonly) e(p1) 1st percentile (detail only) e(p5) 5th percentile (detail only) e(p10) 10th percentile (detail only) e(p25) 25th percentile (detail only) e(p50) 50th percentile (detail only) e(p75) 75th percentile (detail only) e(p90) 90th percentile (detail only) e(p95) 95th percentile (detail only) e(p99) 99th percentile (detail only) e(skewness) skewness (detail only) e(kurtosis) kurtosis (detail only)
Example:
. sysuse auto, clear (1978 Automobile Data)
. estpost summarize price mpg rep78 foreign
| e(count) e(sum_w) e(mean) e(Var) e(sd) -------------+------------------------------------------------------- price | 74 74 6165.257 8699526 2949.496 mpg | 74 74 21.2973 33.47205 5.785503 rep78 | 69 69 3.405797 .9799659 .9899323 foreign | 74 74 .2972973 .2117734 .4601885
| e(min) e(max) e(sum) -------------+--------------------------------- price | 3291 15906 456229 mpg | 12 41 1576 rep78 | 1 5 235 foreign | 0 1 22
. esttab ., cells("mean sd count") noobs --------------------------------------------------- (1) mean sd count --------------------------------------------------- price 6165.257 2949.496 74 mpg 21.2973 5.785503 74 rep78 3.405797 .9899323 69 foreign .2972973 .4601885 74 ---------------------------------------------------
+---------+ ----+ tabstat +----------------------------------------------------------
estpost tabstat varlist [if] [in] [weight] [, statistics(statname [...]) columns(variables|statistics) by(varname) nototal missing listwise casewise quietly esample ]
posts summary statistics computed by tabstat. aweights and fweights are allowed; see weight.
Options are:
statistics(), columns(), by(), nototal, and missing as described in help tabstat.
listwise to handle missing values through listwise deletion, meaning that an observation is omitted from the estimation sample if any of the variables in 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. casewise is a synonym for listwise.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
A vector of results is saved in e() for each specified variable or statistic, depending on columns().
Examples:
. sysuse auto, clear (1978 Automobile Data)
. estpost tabstat price mpg rep78, listwise /// > statistics(mean sd)
Summary statistics: mean sd for variables: price mpg rep78
| e(price) e(mpg) e(rep78) -------------+--------------------------------- mean | 6146.043 21.28986 3.405797 sd | 2912.44 5.866408 .9899323
. esttab ., cells("price mpg rep78") --------------------------------------------------- (1) price mpg rep78 --------------------------------------------------- mean 6146.043 21.28986 3.405797 sd 2912.44 5.866408 .9899323 --------------------------------------------------- N 69 ---------------------------------------------------
. estpost tabstat price mpg rep78, listwise /// > statistics(mean sd) columns(statistics)
Summary statistics: mean sd for variables: price mpg rep78
| e(mean) e(sd) -------------+---------------------- price | 6146.043 2912.44 mpg | 21.28986 5.866408 rep78 | 3.405797 .9899323
. esttab ., cells("mean(fmt(a3)) sd") -------------------------------------- (1) mean sd -------------------------------------- price 6146.0 2912.4 mpg 21.29 5.866 rep78 3.406 0.990 -------------------------------------- N 69 --------------------------------------
. estpost tabstat price mpg rep78, by(foreign) /// > statistics(mean sd) columns(statistics) listwise
Summary statistics: mean sd for variables: price mpg rep78 by categories of: foreign
foreign | e(mean) e(sd) -------------+---------------------- Domestic | price | 6179.25 3188.969 mpg | 19.54167 4.753312 rep78 | 3.020833 .837666 -------------+---------------------- Foreign | price | 6070.143 2220.984 mpg | 25.28571 6.309856 rep78 | 4.285714 .7171372 -------------+---------------------- Total | price | 6146.043 2912.44 mpg | 21.28986 5.866408 rep78 | 3.405797 .9899323
. esttab ., main(mean) aux(sd) nostar unstack /// > noobs nonote label ----------------------------------------------------------- (1) Domestic Foreign Total ----------------------------------------------------------- Price 6179.3 6070.1 6146.0 (3189.0) (2221.0) (2912.4)
Mileage (mpg) 19.54 25.29 21.29 (4.753) (6.310) (5.866)
Repair Record 1978 3.021 4.286 3.406 (0.838) (0.717) (0.990) -----------------------------------------------------------
+-------+ ----+ ttest +------------------------------------------------------------
estpost ttest varlist [if] [in], by(groupvar) [ unequal welch listwise casewise quietly esample ]
posts two-group mean-comparison tests computed by ttest.
Options are:
by(), unequal, and welch as described in help ttest.
listwise to handle missing values through listwise deletion, meaning that an observation is omitted from the estimation sample if any of the variables in 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. casewise is a synonym for listwise.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
The following results vectors are saved in e():
e(b) mean difference e(count) number of observations e(se) standard error of difference e(t) t statistic e(df_t) degrees of freedom e(p_l) lower one-sided p-value e(p) two-sided p-value e(p_u) upper one-sided p-value e(N_1) number of observations in group 1 e(mu_1) mean in group 1 e(N_2) number of observations in group 2 e(mu_2) mean in group 2
Example:
. sysuse auto, clear (1978 Automobile Data)
. estpost ttest price mpg headroom trunk, by(foreign)
| e(b) e(count) e(se) e(t) e(df_t) -------------+------------------------------------------------------- price | -312.2587 74 754.4488 -.4138899 72 mpg | -4.945804 74 1.362162 -3.630848 72 headroom | .5402098 74 .2070884 2.608596 72 trunk | 3.340909 74 1.022208 3.268327 72
| e(p_l) e(p) e(p_u) e(N_1) e(mu_1) -------------+------------------------------------------------------- price | .3400925 .6801851 .6599075 52 6072.423 mpg | .0002627 .0005254 .9997373 52 19.82692 headroom | .9944757 .0110486 .0055243 52 3.153846 trunk | .99917 .00166 .00083 52 14.75
| e(N_2) e(mu_2) -------------+---------------------- price | 22 6384.682 mpg | 22 24.77273 headroom | 22 2.613636 trunk | 22 11.40909
. esttab ., wide ----------------------------------------- (1) ----------------------------------------- price -312.3 (-0.41) mpg -4.946*** (-3.63) headroom 0.540* (2.61) trunk 3.341** (3.27) ----------------------------------------- N 74 ----------------------------------------- t statistics in parentheses * p<0.05, ** p<0.01, *** p<0.001
+--------+ ----+ prtest +-----------------------------------------------------------
estpost prtest varlist [if] [in], by(groupvar) [ listwise casewise quietly esample ]
posts two-group tests of proportions computed by prtest.
Options are:
by() as described in help prtest.
listwise to handle missing values through listwise deletion, meaning that an observation is omitted from the estimation sample if any of the variables in 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. casewise is a synonym for listwise.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
The following results vectors are saved in e():
e(b) difference in proportions e(count) number of observations e(se) standard error of difference e(se0) standard error under Ho e(z) z statistic e(p_l) lower one-sided p-value e(p) two-sided p-value e(p_u) upper one-sided p-value e(N_1) number of observations in group 1 e(P_1) proportion in group 1 e(N_2) number of observations in group 2 e(P_2) proportion in group 2
Example:
. webuse cure2, clear . estpost prtest cure, by(sex)
| e(b) e(count) e(se) e(se0) e(z) -------------+------------------------------------------------------- cure | -.0729167 109 .0933123 .0942404 -.7737309
| e(p_l) e(p) e(p_u) e(N_1) e(P_1) -------------+------------------------------------------------------- cure | .219545 .43909 .780455 64 .59375
| e(N_2) e(P_2) -------------+---------------------- cure | 45 .6666667
. esttab ., cell("b se0 z p") ---------------------------------------------------------------- (1) b se0 z p ---------------------------------------------------------------- cure -.0729167 .0942404 -.7737309 .43909 ---------------------------------------------------------------- N 109 ----------------------------------------------------------------
+----------+ ----+ tabulate +---------------------------------------------------------
One-way table:
estpost tabulate varname [if] [in] [weight] [, missing nolabel sort subpop(varname) nototal quietly esample ]
Two-way table:
estpost tabulate varname1 varname2 [if] [in] [weight] [, missing nolabel chi2 exact[(#)] gamma lrchi2 taub v nototal quietly esample ]
estpost tabulate posts a one-way or two-way table computed by tabulate. aweights, fweights, and iweights are allowed; see weight.
Options are:
missing, nolabel, sort, subpop(), chi2, exact, gamma, lrchi2, taub, and v as described in help tabulate.
nototal to omit row and column totals.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
The following vectors are saved in e():
e(b) frequency counts e(pct) percent e(cumpct) cumulative percent (one-way only) e(colpct) column percent (two-way only) e(rowpct) row percent (two-way only)
If two-way options such as, e.g., chi2 or exact are specified, the results of the tests added as scalars in e() using the names documented in [R] tabulate.
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 e(labels). Type varlabels(`e(labels)') in esttab or estout to use the labels stored e(labels). The value labels of the column variable are stored as equation names or, alternatively, in macro e(eqlabels). Type eqlabels(`e(eqlabels)') in esttab or estout to use the labels stored in e(eqlabels).
Examples:
. sysuse auto, clear (1978 Automobile Data)
. estpost tabulate foreign
foreign | e(b) e(pct) e(cumpct) -------------+--------------------------------- Domestic | 52 70.27027 70.27027 Foreign | 22 29.72973 100 -------------+--------------------------------- Total | 74 100
. esttab ., cells("b pct(fmt(2)) cumpct(fmt(2))") noobs --------------------------------------------------- (1) foreign b pct cumpct --------------------------------------------------- Domestic 52 70.27 70.27 Foreign 22 29.73 100.00 Total 74 100.00 ---------------------------------------------------
. estpost tabulate rep78 foreign
foreign | rep78 | e(b) e(pct) e(colpct) e(rowpct) -------------+-------------------------------------------- Domestic | 1 | 2 2.898551 4.166667 100 2 | 8 11.5942 16.66667 100 3 | 27 39.13043 56.25 90 4 | 9 13.04348 18.75 50 5 | 2 2.898551 4.166667 18.18182 Total | 48 69.56522 100 69.56522 -------------+-------------------------------------------- Foreign | 1 | 0 0 0 0 2 | 0 0 0 0 3 | 3 4.347826 14.28571 10 4 | 9 13.04348 42.85714 50 5 | 9 13.04348 42.85714 81.81818 Total | 21 30.43478 100 30.43478 -------------+-------------------------------------------- Total | 1 | 2 2.898551 2.898551 100 2 | 8 11.5942 11.5942 100 3 | 30 43.47826 43.47826 100 4 | 18 26.08696 26.08696 100 5 | 11 15.94203 15.94203 100 Total | 69 100 100 100
. esttab ., cell(colpct(fmt(2))) unstack noobs --------------------------------------------------- (1) Domestic Foreign Total colpct colpct colpct --------------------------------------------------- 1 4.17 0.00 2.90 2 16.67 0.00 11.59 3 56.25 14.29 43.48 4 18.75 42.86 26.09 5 4.17 42.86 15.94 Total 100.00 100.00 100.00 ---------------------------------------------------
. esttab ., cell(colpct(fmt(2)) count(fmt(g) par keep(Total))) /// > collabels(none) unstack noobs nonumber nomtitle /// > eqlabels(, lhs("Repair Rec.")) /// > varlabels(, blist(Total "{hline @width}{break}")) --------------------------------------------------- Repair Rec. Domestic Foreign Total --------------------------------------------------- 1 4.17 0.00 2.90 2 16.67 0.00 11.59 3 56.25 14.29 43.48 4 18.75 42.86 26.09 5 4.17 42.86 15.94 --------------------------------------------------- Total 100.00 100.00 100.00 ---------------------------------------------------
+---------------+ ----+ svy: tabulate +----------------------------------------------------
One-way table:
estpost svy [vcetype] [, svy_options] : tabulate varname [if] [in] [, nototal quietly esample svy_tabulate_opts ]
Two-way table:
estpost svy [vcetype] [, svy_options] : tabulate varname1 varname2 [ if] [in] [, nototal quietly esample svy_tabulate_opts ]
estpost svy: tabulate posts a one-way or two-way table for complex survey data computed by svy: tabulate. Stata 9 or newer is required.
Options are as described in [SVY] svy: tabulate oneway or [SVY] svy: tabulate twoway, respectively, and:
nototal to omit row and column totals (synonym for nomarginals).
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
estpost svy: tabulate posts results in e() (except e(V)) as documented in [SVY] svy: tabulate oneway and [SVY] svy: tabulate twoway, respectively, and adds or replaces the following matrices:
e(b) cell, column, or row proportions or percentages, or weighted counts, depending on options e(se) standard errors of e(b) e(lb) lower confidence bounds for e(b) e(ub) upper confidence bounds for e(b) e(deff) deff for variances of e(b) e(deft) deft for variances of e(b) e(cell) cell proportion or percentages e(row) row proportion or percentages (two-way only) e(col) column proportion or percentages (two-way only) e(count) weighted counts e(obs) number of observations
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 e(labels). Type varlabels(`e(labels)') in esttab or estout to use the labels stored e(labels). The value labels of the column variable are stored as equation names or, alternatively, in macro e(eqlabels). Type eqlabels(`e(eqlabels)') in esttab or estout to use the labels stored in e(eqlabels).
Examples:
. webuse nhanes2b, clear . svyset psuid [pweight=finalwgt], strata(stratid)
pweight:finalwgt VCE:linearized Single unit:missing Strata 1:stratid SU 1:psuid FPC 1:<zero> . estpost svy: tabulate race (running tabulate on estimation sample)
Number of strata= 31 Number of obs = 10351 Number of PSUs= 62 Population size = 117157513 Design df = 31
----------------------- 1=white, | 2=black, | 3=other | proportions ----------+------------ White | .8792 Black | .0955 Other | .0253 | Total | 1 ----------------------- Key: proportions = cell proportions
saved vectors: e(b) = cell proportions e(se) = standard errors of cell proportions e(lb) = lower 95% confidence bounds for cell proportions e(ub) = upper 95% confidence bounds for cell proportions e(deff) = deff for variances of cell proportions e(deft) = deft for variances of cell proportions e(cell) = cell proportions e(count) = weighted counts e(obs) = number of observations . esttab ., cell("b(f(4)) se deft") --------------------------------------------------- (1) b se deft --------------------------------------------------- White 0.8792 0.0167 5.2090 Black 0.0955 0.0127 4.4130 Other 0.0253 0.0105 6.8246 Total 1.0000 0.0000 --------------------------------------------------- N 10351 ---------------------------------------------------
. estpost svy: tabulate race diabetes, row percent (running tabulate on estimation sample)
Number of strata= 31 Number of obs = 10349 Number of PSUs= 62 Population size = 117131111 Design df = 31
------------------------------- 1=white, | diabetes, 1=yes, 2=black, | 0=no 3=other | 0 1 Total ----------+-------------------- White | 96.8 3.195 100 Black | 94.1 5.903 100 Other | 97.97 2.034 100 | Total | 96.58 3.425 100 ------------------------------- Key: row percentages
Pearson: Uncorrectedchi2(2) = 21.3483 Design-basedF(1.52, 47.26)= 15.0056 P = 0.0000
saved vectors: e(b) = row percentages e(se) = standard errors of row percentages e(lb) = lower 95% confidence bounds for row percentages e(ub) = upper 95% confidence bounds for row percentages e(deff) = deff for variances of row percentages e(deft) = deft for variances of row percentages e(cell) = cell percentages e(row) = row percentages e(col) = column percentages e(count) = weighted counts e(obs) = number of observations . esttab ., b(2) se(2) scalars(F_Pear) nostar unstack /// > mtitle(`e(colvar)') --------------------------------------------------- (1) diabetes 0 1 Total --------------------------------------------------- White 96.80 3.20 100.00 (0.20) (0.20)
Black 94.10 5.90 100.00 (0.61) (0.61)
Other 97.97 2.03 100.00 (0.76) (0.76)
Total 96.58 3.42 100.00 (0.18) (0.18) --------------------------------------------------- N 10349 F_Pear 15.01 --------------------------------------------------- Standard errors in parentheses
+-----------+ ----+ correlate +--------------------------------------------------------
estpost correlate varlist [if] [in] [weight] [, matrix nohalf print(#) bonferroni sidak listwise casewise quietly esample ]
posts the pairwise correlations between the first variable in varlist and the remaining variables. Alternatively, if the matrix option is specified, all pairwise correlations among the variable in varlist are posted.
aweights, fweights, iweights and pweights are allowed; see weight.
Methods and formulas are as described in [R] correlate. However, if pweights are specified, the p-values of the correlations are computed as suggested in the Stata FAQ on "Estimating correlations with survey data".
Options are:
matrix to return the (lower triangle) of the correlation matrix of the variables in varlist. The default is to return the pairwise correlations between the first variable in varlist and the remaining variables.
nohalf to return the full correlation matrix rather than just the lower triangle. nohalf has no effect unless matrix is specified.
print(#) to suppress (leave blank) correlation coefficients with a p-value larger than #. print() only affects what is saved in e(rho), e(p), and e(count), but not what is saved in e(b).
bonferroni to apply the Bonferroni adjustment to the p-values.
sidak to apply the Sidak adjustment to the p-values.
listwise to handle missing values through listwise deletion, meaning that an observation is omitted from the estimation sample if any of the variables in 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. casewise is a synonym for listwise.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
The following vectors are saved in e():
e(b) correlation coefficients e(rho) correlation coefficients e(p) p-values e(count) number of observations
Examples:
. sysuse auto, clear (1978 Automobile Data)
. estpost correlate price mpg turn foreign, matrix
| e(b) e(rho) e(p) e(count) -------------+-------------------------------------------- price | price | 1 1 74 mpg | -.4685967 -.4685967 .0000255 74 turn | .3096174 .3096174 .0072662 74 foreign | .0487195 .0487195 .6801851 74 mpg | mpg | 1 1 74 turn | -.7191863 -.7191863 5.30e-13 74 foreign | .3933974 .3933974 .0005254 74 turn | turn | 1 1 74 foreign | -.6310965 -.6310965 1.66e-09 74 foreign | foreign | 1 1 74
. esttab ., not unstack compress noobs -------------------------------------------------------------- (1) price mpg turn foreign -------------------------------------------------------------- price 1 mpg -0.469*** 1 turn 0.310** -0.719*** 1 foreign 0.0487 0.393*** -0.631*** 1 -------------------------------------------------------------- * p<0.05, ** p<0.01, *** p<0.001
. bysort foreign: eststo: /// > estpost correlate price turn weight rep78, listwise
------------------------------------------------------------ -> Domestic
price | e(b) e(rho) e(p) e(count) -------------+-------------------------------------------- turn | .4328091 .4328091 .0021229 48 weight | .6864719 .6864719 7.19e-08 48 rep78 | -.0193249 -.0193249 .8962741 48 (est1 stored)
------------------------------------------------------------ -> Foreign
price | e(b) e(rho) e(p) e(count) -------------+-------------------------------------------- turn | .5102425 .5102425 .0181155 21 weight | .8315886 .8315886 2.99e-06 21 rep78 | .1797879 .1797879 .4354917 21 (est2 stored)
. esttab est1 est2, not mtitles -------------------------------------------- (1) (2) Domestic Foreign -------------------------------------------- turn 0.433** 0.510* weight 0.686*** 0.832*** rep78 -0.0193 0.180 -------------------------------------------- N 48 21 -------------------------------------------- * p<0.05, ** p<0.01, *** p<0.001
+----+ ----+ ci +---------------------------------------------------------------
estpost ci [varlist] [if] [in] [weight] [, binomial poisson exposure(varname) exact wald wilson agresti jeffreys level(#) listwise casewise quietly esample ]
posts standard errors and confidence intervals computed by ci. aweights and fweights are allowed, but aweights may not be specified with options binomial or poisson; see weight.
Options are:
binomial, poisson, exposure(), exact, wald, wilson, agresti, jeffreys, and level() as described in help ci.
listwise to handle missing values through listwise deletion, meaning that an observation is omitted from the estimation sample if any of the variables in 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. casewise is a synonym for listwise.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
The following results vectors are saved in e():
e(b) mean e(count) number of observations e(se) estimate of standard error e(lb) lower bound of confidence interval e(ub) upper bound of confidence interval
Examples:
. sysuse auto, clear (1978 Automobile Data)
. estpost ci price mpg rep78, listwise (confidence level is 95%)
| e(b) e(count) e(se) e(lb) e(ub) -------------+------------------------------------------------------- price | 6146.043 69 350.6166 5446.399 6845.688 mpg | 21.28986 69 .7062326 19.88059 22.69912 rep78 | 3.405797 69 .1191738 3.167989 3.643605
. esttab ., cells("b lb ub") label ----------------------------------------------------------- (1) b lb ub ----------------------------------------------------------- Price 6146.043 5446.399 6845.688 Mileage (mpg) 21.28986 19.88059 22.69912 Repair Record 1978 3.405797 3.167989 3.643605 ----------------------------------------------------------- Observations 69 -----------------------------------------------------------
. eststo exact: estpost ci foreign, binomial exact (confidence level is 95%)
| e(b) e(count) e(se) e(lb) e(ub) -------------+------------------------------------------------------- foreign | .2972973 74 .0531331 .196584 .4148353
. eststo agresti: estpost ci foreign, binomial agresti (confidence level is 95%)
| e(b) e(count) e(se) e(lb) e(ub) -------------+------------------------------------------------------- foreign | .2972973 74 .0531331 .204807 .4097942
. esttab exact agresti, cells(lb ub) mtitles -------------------------------------- (1) (2) exact agresti lb/ub lb/ub -------------------------------------- foreign .196584 .204807 .4148353 .4097942 -------------------------------------- N 74 74 --------------------------------------
+------+ ----+ stci +-------------------------------------------------------------
estpost stci [if] [in] [, by(groupvar) median rmean emean p(#) ccorr level(#) quietly esample ]
posts confidence intervals for means and percentiles of survival time computed by stci. Stata 9 or newer is required.
Options are:
by(groupvar) to report separate summaries for each group defined by groupvar, along with an overall total.
median, rmean, emean, p(), ccorr, and level() as described in help stci.
quietly to suppress the output.
esample to mark the estimation sample in e(sample).
The following vectors are saved in e():
e(count) number of subjects e(p50) median (if median specified; the default) e(p#) #th percentile (if p(#) specified) e(rmean) restricted mean (if rmean specified) e(emean) extended mean (if emean specified) e(se) standard error e(lb) lower bound of CI e(ub) upper bound of CI
Examples:
. webuse page2, clear . estpost stci (confidence level is 95%)
| e(count) e(p50) e(se) e(lb) e(ub) -------------+------------------------------------------------------- total | 40 232 2.562933 213 239
. esttab ., cell("count p50 se lb ub") noobs compress ------------------------------------------------------------ (1) count p50 se lb ub ------------------------------------------------------------ total 40 232 2.562933 213 239 ------------------------------------------------------------
. estpost stci, by(group) (confidence level is 95%)
| e(count) e(p50) e(se) e(lb) e(ub) -------------+------------------------------------------------------- 1 | 19 216 5.171042 190 234 2 | 21 233 2.179595 232 280 -------------+------------------------------------------------------- total | 40 232 2.562933 213 239
. esttab ., cell("count p50 se lb ub") noobs compress ------------------------------------------------------------ (1) count p50 se lb ub ------------------------------------------------------------ 1 19 216 5.171042 190 234 2 21 233 2.179595 232 280 total 40 232 2.562933 213 239 ------------------------------------------------------------
+---------+ ----+ margins +----------------------------------------------------------
estpost margins [marginlist] [if] [in] [weight] [, quietly margins_opions ]
posts results from the margins command, that was introduced in Stata 11.
Options are:
quietly to suppress the output.
margins_opions as described in help margins (except post).
estpost margins replaces the current e(b) and e(V) with r(b) and r(V) from margins and also copies all other matrixes, scalars, and macros from margins into e() (possibly replacing identically named existing entries).
Examples:
. sysuse auto, clear (1978 Automobile Data)
. quietly logit foreign price mpg weight . estpost margins, dydx(*) quietly . esttab ., cell("b se") pr2 -------------------------------------- (1) foreign b se -------------------------------------- price .0000686 .0000136 mpg -.0089607 .006596 weight -.0005069 .000055 -------------------------------------- N 74 pseudo R-sq 0.619 --------------------------------------
Author
Ben Jann, ETH Zurich, jannb@ethz.ch
Also see
Manual: [R] estimates
Online: help for estimates, estout, esttab, eststo, estadd