Stata Quick Reference and Index
Stata Quick Reference and Index
Stata Quick Reference and Index
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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( )