Stata Quick Reference and Index
Stata Quick Reference and Index
Stata Quick Reference and Index
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164 Subject index<br />
vecdiag() matrix function, [D] functions, [P] matrix<br />
define<br />
vech() function, [M-5] vec( )<br />
veclmar comm<strong>and</strong>, [TS] veclmar<br />
VECM, [TS] dvech, [TS] Glossary, [TS] vec, [TS] vec<br />
intro<br />
postestimation, [TS] fcast compute, [TS] fcast<br />
graph, [TS] irf, [TS] irf create, [TS] varsoc,<br />
[TS] vec postestimation, [TS] veclmar,<br />
[TS] vecnorm, [TS] vecrank, [TS] vecstable<br />
vecnorm comm<strong>and</strong>, [TS] vecnorm<br />
vecrank comm<strong>and</strong>, [TS] vecrank<br />
vecstable comm<strong>and</strong>, [TS] vecstable<br />
vector, [M-2] declarations, [M-6] Glossary<br />
vector autoregression, see VAR<br />
vector autoregressive forecast, [TS] fcast compute,<br />
[TS] fcast graph<br />
vector autoregressive (VAR) models, [G] graph other<br />
vector autoregressive moving average model,<br />
[TS] dfactor, [TS] sspace<br />
vector error-correction model, see VECM<br />
vector norm, [M-5] norm( )<br />
vectors, see matrices<br />
verifying data, [D] assert, [D] count, [D] inspect, also<br />
see certifying data<br />
verifying mi data are consistent, [MI] mi update<br />
version, [M-2] version<br />
version comm<strong>and</strong>, [P] version, [U] 16.1.1 Version,<br />
[U] 18.11.1 Version<br />
class programming, [P] class<br />
version control, [M-2] version, [M-5] callersversion( ),<br />
see version comm<strong>and</strong><br />
version of ado-file, [R] which<br />
version of <strong>Stata</strong>, [M-5] stataversion( ), [R] about<br />
vertical alignment of text, [G] alignmentstyle<br />
view<br />
ado comm<strong>and</strong>, [R] view<br />
ado d comm<strong>and</strong>, [R] view<br />
browse comm<strong>and</strong>, [R] view<br />
comm<strong>and</strong>, [R] view<br />
help comm<strong>and</strong>, [R] view<br />
help d comm<strong>and</strong>, [R] view<br />
net comm<strong>and</strong>, [R] view<br />
net d comm<strong>and</strong>, [R] view<br />
news comm<strong>and</strong>, [R] view<br />
search comm<strong>and</strong>, [R] view<br />
search d comm<strong>and</strong>, [R] view<br />
update comm<strong>and</strong>, [R] view<br />
update d comm<strong>and</strong>, [R] view<br />
view d comm<strong>and</strong>, [R] view<br />
view matrix, [M-5] isview( ), [M-5] st subview( ),<br />
[M-5] st view( ), [M-5] st viewvars( ),<br />
[M-6] Glossary<br />
view source code, [P] viewsource<br />
view d, view subcomm<strong>and</strong>, [R] view<br />
viewing previously typed lines, [R] #review<br />
viewsource, [M-1] source<br />
viewsource comm<strong>and</strong>, [P] viewsource<br />
vif, estat subcomm<strong>and</strong>, [R] regress postestimation<br />
virtual, [M-2] class<br />
virtual memory, [D] memory, [U] 6.5 Virtual memory<br />
<strong>and</strong> speed considerations<br />
virtual, set subcomm<strong>and</strong>, [D] memory, [R] set<br />
void<br />
function, [M-2] declarations, [M-6] Glossary<br />
matrix, [M-2] void, [M-6] Glossary<br />
vwls comm<strong>and</strong>, [R] vwls, [R] vwls postestimation,<br />
also see postestimation comm<strong>and</strong><br />
W<br />
Wald tests, [R] predictnl, [R] test, [R] testnl,<br />
[SVY] svy postestimation, [TS] vargranger,<br />
[TS] varwle, [U] 20.11 Performing hypothesis<br />
tests on the coefficients, [U] 20.11.4 Nonlinear<br />
Wald tests<br />
wardslinkage, cluster subcomm<strong>and</strong>, [MV] cluster<br />
linkage<br />
Ward’s linkage clustering, [MV] cluster, [MV] cluster<br />
linkage, [MV] clustermat, [MV] Glossary<br />
Ward’s method clustering, [MV] cluster,<br />
[MV] clustermat<br />
warning messages, [M-2] pragma<br />
waveragelinkage, cluster subcomm<strong>and</strong>,<br />
[MV] cluster linkage<br />
weakly balanced, [XT] Glossary<br />
web site,<br />
stata.com, [U] 3.2 The <strong>Stata</strong> web site<br />
(www.stata.com)<br />
stata-press.com, [U] 3.3 The <strong>Stata</strong> Press web site<br />
(www.stata-press.com)<br />
webuse<br />
query comm<strong>and</strong>, [D] webuse<br />
set comm<strong>and</strong>, [D] webuse<br />
comm<strong>and</strong>, [D] webuse<br />
week() function, [D] dates <strong>and</strong> times, [D] functions,<br />
[M-5] date( )<br />
weekly() function, [D] dates <strong>and</strong> times,<br />
[D] functions, [M-5] date( )<br />
Weibull distribution, [ST] streg<br />
Weibull survival regression, [ST] streg<br />
weight, [P] syntax<br />
[weight=exp] modifier, [U] 11.1.6 weight,<br />
[U] 20.18 Weighted estimation<br />
weighted data, [U] 11.1.6 weight, [U] 20.18 Weighted<br />
estimation, also see survey data<br />
weighted least squares, [R] gmm, [R] ivregress,<br />
[R] nlsur, [R] regress, [R] regress<br />
postestimation, [R] vwls<br />
weighted moving average, [TS] tssmooth,<br />
[TS] tssmooth ma<br />
weighted-average linkage clustering, [MV] cluster<br />
linkage, [MV] cluster, [MV] clustermat,<br />
[MV] Glossary<br />
weights, [G] graph twoway scatter<br />
probability, [SVY] survey, [SVY] svydescribe,<br />
[SVY] svyset