*! version 1.0.0 06nov2009
help leanoutDistribution: Stata Journal

Title

leanout -- Lean output formatting for regressions results

Syntax

Standard estimation command syntax

leanout
[,
options
] : estimation_command

Survey estimation command syntax

leanout
[,
options
] : svy [vcetype] [, svy_options
] : estimation_command

Where estimation_command is almost any estimation command and
includes any options for the estimation command.

Reporting
format(fmt) display format format for results

varwidth(#) allow # characters for displaying
variable names

display_options control spacing
and display of omitted variables and base and empty cells

Weights are allowed if command_name allows them; see weight.

All postestimation commands behave as they would after the estimation command
without the leanout prefix.

leanout: [, options ] may be typed to replay the estimation
results

leanout: [, options ] may be typed after normal estimation with
most estimation commands to display the lean output.

Description

leanout fits a model specified by estimation_command. It
suppresses the command's normal output and instead displays a "lean" estimation
table comprised of only the variable names, the coefficients, the standard
errors, and the confidence intervals.

Options

format(fmt) specifies the display format used to display
the coefficient and its standard error and confidence interval.
Default format is %f5.1f.

varwidth(#) specifies the maximum number of characters for displaying
variable names. Names longer than # are abbreviated. Default is
16 characters.

display_options may be
noomitted,
vsquish,
noemptycells,
baselevels,
allbaselevels;
see [R] estimation options.

Remarks

leanout works with almost all estimation commands. It does not produce
useful output after exlogistic, expoisson, asmprobit,
asclogit, asroprobit.

leanout does not support alternate parameterization of estimated
coefficients, such as odds ratios for logistic models.

Most maximim-likelihood estimators, and other estimators requiring
optimization, estimate ancillary parameters in a transformed metric to improve
convergence. leanout displays ancillary parameters only in the metric
in which they were estimated. It does not display them in their natural,
untransformed metric.

Examples

Linear regression

. sysuse auto

. leanout: regress length turn headroom

Replay results

. leanout:

Linear regression with factor variables

. leanout: regress length turn headroom i.for i.rep78

Showing base categories

. leanout, base: regress length turn headroom i.for i.rep78

With a custom format

. leanout, format(%8.4f): regress length turn headroom i.for i.rep78

As a postestimation command

. regress length turn headroom i.for i.rep78

. leanout:

Linear regression with survey data

. webuse nhanes2f:

. svyset psuid [pweight=finalwgt], strata(stratid):

. leanout: svy: regress zinc age female black orace rural:

A maximum-likelihood estimator

. webuse lbw

. leanout, format(%5.2f): probit low smoke ptl ht ui i.race

A multiple equation estimator

. sysuse auto

. leanout: sureg (mpg trunk length) (turn trunk i.foreign)

Saved results

leanout leaves behind the estimation command's standard saved results in
e():

Also see

Help: [R] estimates table