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Stata Quick Reference and Index

Stata Quick Reference and Index

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88 Subject index<br />

adosize, [U] 18.11 Ado-files<br />

adosize, set subcomm<strong>and</strong>, [R] set<br />

adosize set comm<strong>and</strong>, [P] sysdir<br />

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

adosubdir macro extended function, [P] macro<br />

adoupdate comm<strong>and</strong>, [R] adoupdate<br />

agglomerative hierarchical clustering methods,<br />

[MV] Glossary<br />

aggregate<br />

functions, [D] egen<br />

statistics, dataset of, [D] collapse<br />

agreement, interrater, [R] kappa<br />

AIC, [R] BIC note, [R] estat, [R] estimates stats,<br />

[R] glm, [ST] streg, [TS] varsoc<br />

Akaike information criterion, see AIC<br />

algebraic expressions, functions, <strong>and</strong> operators,<br />

[P] matrix define, [U] 13 Functions <strong>and</strong><br />

expressions, [U] 13.3 Functions<br />

alignment of text, [G] textbox options<br />

alignmentstyle, [G] alignmentstyle<br />

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

all,<br />

clear subcomm<strong>and</strong>, [D] clear update<br />

subcomm<strong>and</strong>, [R] update<br />

all, [U] 11.1.1 varlist<br />

all macro extended function, [P] macro<br />

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

alpha coefficient, Cronbach’s, [R] alpha<br />

alpha comm<strong>and</strong>, [R] alpha<br />

alphabetizing<br />

observations, [D] sort; [D] gsort<br />

variable names, [D] order<br />

variables, [D] sort<br />

alphanumeric variables, see string variables, parsing<br />

alternative-specific multinomial probit regression,<br />

[R] asmprobit<br />

alternatives, estat subcomm<strong>and</strong>, [R] asclogit<br />

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

[R] asroprobit postestimation<br />

ameans comm<strong>and</strong>, [R] ameans<br />

analysis of covariance, see ANCOVA<br />

analysis of variance, see ANOVA<br />

analysis step, [MI] intro substantive, [MI] mi estimate,<br />

also see estimation<br />

analysis time, [ST] Glossary<br />

analysis-of-variance test of normality, [R] swilk<br />

analytic weights, [U] 11.1.6 weight,<br />

[U] 20.18.2 Analytic weights<br />

ANCOVA, [R] anova<br />

<strong>and</strong> operator, [U] 13.2.4 Logical operators<br />

Anderberg coefficient similarity measure,<br />

[MV] measure option<br />

angle of text, [G] anglestyle<br />

anglestyle, [G] anglestyle<br />

angular similarity measure, [MV] measure option<br />

ANOVA, [R] anova, [R] loneway, [R] oneway<br />

Kruskal–Wallis, [R] kwallis<br />

repeated measures, [R] anova<br />

anova, estat subcomm<strong>and</strong>, [MV] discrim lda<br />

postestimation<br />

anova comm<strong>and</strong>, [R] anova, [R] anova postestimation,<br />

also see postestimation comm<strong>and</strong><br />

anti, estat subcomm<strong>and</strong>, [MV] factor<br />

postestimation, [MV] pca postestimation<br />

anti-image<br />

correlation matrix, [MV] factor postestimation,<br />

[MV] Glossary, [MV] pca postestimation<br />

covariance matrix, [MV] factor postestimation,<br />

[MV] Glossary, [MV] pca postestimation<br />

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

anycount(), egen function, [D] egen<br />

anymatch(), egen function, [D] egen<br />

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

anyvalue(), egen function, [D] egen<br />

A-PARCH, [TS] arch<br />

append, mi subcomm<strong>and</strong>, [MI] mi append<br />

append comm<strong>and</strong>, [D] append, [U] 22 Combining<br />

datasets<br />

append variable, [D] append<br />

appending<br />

data, [D] append, [MI] mi append,<br />

[U] 22 Combining datasets<br />

files, [D] copy<br />

rows <strong>and</strong> columns to matrix, [P] matrix define<br />

apply recording, [G] graph play<br />

approximating Euclidean distances, [MV] mds<br />

postestimation<br />

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

arbitrary pattern of missing values, [MI] mi impute<br />

mvn, also see pattern of missingness<br />

arccosine, arcsine, <strong>and</strong> arctangent functions,<br />

[D] functions<br />

ARCH<br />

effects, estimation, [TS] arch<br />

effects, testing for, [R] regress postestimation time<br />

series<br />

model, [TS] dvech, [TS] Glossary<br />

postestimation, [TS] arch postestimation<br />

regression, [TS] arch<br />

arch comm<strong>and</strong>, [TS] arch, [TS] arch postestimation<br />

archlm, estat subcomm<strong>and</strong>, [R] regress<br />

postestimation time series<br />

area, graph twoway subcomm<strong>and</strong>, [G] graph twoway<br />

area<br />

areas, [G] colorstyle, also see fill areas <strong>and</strong> colors<br />

areastyle, [G] areastyle<br />

areg comm<strong>and</strong>, [R] areg, [R] areg postestimation,<br />

also see postestimation comm<strong>and</strong><br />

Arellano–Bond<br />

estimator, [XT] Glossary, [XT] xtabond<br />

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

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

postestimation<br />

Arellano–Bover estimator, [XT] xtdpd, [XT] xtdpdsys<br />

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

args() function, [M-5] args( )

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