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Subject index - Stata

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4 <strong>Subject</strong> <strong>index</strong><br />

ARMAX, see autoregressive moving average with<br />

exogenous inputs<br />

aroots, estat subcommand, [TS] estat aroots<br />

array, [M-6] Glossary<br />

arrays, class, [P] class<br />

.Arrdropall built-in class modifier, [P] class<br />

.Arrdropel built-in class modifier, [P] class<br />

.arr<strong>index</strong>of built-in class function, [P] class<br />

.arrnels built-in class function, [P] class<br />

arrows, [G-2] graph twoway pcarrow<br />

.Arrpop built-in class modifier, [P] class<br />

.Arrpush built-in class modifier, [P] class<br />

as error, display directive, [P] display<br />

as input, display directive, [P] display<br />

as result, display directive, [P] display<br />

as text, display directive, [P] display<br />

as txt, display directive, [P] display<br />

asarray() function, [M-5] asarray( )<br />

asarray contains() function, [M-5] asarray( )<br />

asarray contents() function, [M-5] asarray( )<br />

asarray create() function, [M-5] asarray( )<br />

asarray elements() function, [M-5] asarray( )<br />

asarray first() function, [M-5] asarray( )<br />

asarray key() function, [M-5] asarray( )<br />

asarray keys() function, [M-5] asarray( )<br />

asarray next() function, [M-5] asarray( )<br />

asarray notfound() function, [M-5] asarray( )<br />

asarray remove() function, [M-5] asarray( )<br />

ascategory() option, [G-2] graph bar, [G-2] graph<br />

box, [G-2] graph dot<br />

ASCII codes, [M-5] ascii( )<br />

ASCII text files, writing and reading, [P] file<br />

ascii() function, [M-5] ascii( )<br />

asclogit command, [R] asclogit, [R] asclogit<br />

postestimation<br />

asin() function, [D] functions, [M-5] sin( )<br />

asinh() function, [D] functions, [M-5] sin( )<br />

asis print color mapping, [G-2] set printcolor<br />

asis, display directive, [P] display<br />

asmprobit command, [R] asmprobit, [R] asmprobit<br />

postestimation<br />

aspect ratio, [G-3] aspect option<br />

changing, [G-2] graph display<br />

controlling, [G-2] graph combine<br />

asroprobit command, [R] asroprobit, [R] asroprobit<br />

postestimation<br />

assert command, [D] assert<br />

assert() function, [M-5] assert( )<br />

asserteq() function, [M-5] assert( )<br />

assignment operator, [M-2] op assignment<br />

assignment, class, [P] class<br />

association test, [R] correlate, [R] spearman,<br />

[R] tabulate twoway, [R] tetrachoric,<br />

[ST] epitab, [SVY] svy: tabulate twoway<br />

association, measures of, [R] tabulate twoway<br />

associative arrays, [M-5] asarray( )<br />

asymmetric power autoregressive conditional<br />

heteroskedasticity, [TS] arch<br />

asymmetry, see skewness<br />

asymptotic distribution free, [SEM] intro 4,<br />

[SEM] methods and formulas for sem,<br />

[SEM] Glossary<br />

asyvars option, [G-2] graph bar, [G-2] graph box,<br />

[G-2] graph dot<br />

at risk, [ST] Glossary<br />

atan() function, [D] functions, [M-5] sin( )<br />

atan2() function, [D] functions, [M-5] sin( )<br />

atanh() function, [D] functions, [M-5] sin( )<br />

ATE, see average treatment effect<br />

ATE and ATET, comparing, [TE] teffects intro<br />

advanced, also see average treatment effect on<br />

treated, also see average treatment effect<br />

ATET, see average treatment effect on treated<br />

at-risk table, [ST] sts graph<br />

attributable fraction, [ST] epitab, [ST] Glossary<br />

attributable proportion, [ST] epitab<br />

AUC, also see area under the curve<br />

augmented<br />

component-plus-residual plot, [R] regress<br />

postestimation diagnostic plots<br />

inverse-probability weighting, [TE] teffects intro,<br />

[TE] teffects intro advanced, [TE] teffects aipw,<br />

[TE] Glossary<br />

partial residual plot, [R] regress postestimation<br />

diagnostic plots<br />

regression, see imputation, perfect prediction<br />

Author Support Program, [U] 3.8.2 For authors<br />

auto.dta, [U] 1.2.2 Example datasets<br />

autocode() function, [D] functions,<br />

[U] 25.1.2 Converting continuous variables to<br />

categorical variables<br />

autocorrelation, [R] regress postestimation time<br />

series, [TS] arch, [TS] arfima, [TS] arima,<br />

[TS] corrgram, [TS] dfactor, [TS] estat<br />

acplot, [TS] newey, [TS] prais, [TS] psdensity,<br />

[TS] sspace, [TS] ucm, [TS] var, [TS] varlmar,<br />

[TS] Glossary, also see HAC variance estimate<br />

dynamic model, [XT] xtabond, [XT] xtdpd,<br />

[XT] xtdpdsys<br />

residual, [XT] xtgee, [XT] xtgls, [XT] xtpcse,<br />

[XT] xtregar<br />

test, [XT] xtabond, [XT] xtabond postestimation,<br />

[XT] xtdpd postestimation, [XT] xtdpdsys,<br />

[XT] xtdpdsys postestimation<br />

autocovariance, [TS] arfima, [TS] arima,<br />

[TS] corrgram, [TS] estat acplot, [TS] psdensity<br />

automatic print color mapping, [G-2] set printcolor<br />

Automation, [P] automation<br />

autoregressive, [TS] arch, [TS] arfima, [TS] arima,<br />

[TS] dfactor, [TS] sspace, [TS] ucm<br />

conditional heteroskedasticity<br />

effects, [TS] arch<br />

model, [TS] arch, [TS] arch postestimation,<br />

[TS] Glossary, also see multivariate GARCH<br />

test, [R] regress postestimation time series

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