Subject index - Stata
Subject index - Stata
Subject index - Stata
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<strong>Subject</strong> <strong>index</strong> 111<br />
verifying data, [D] assert, [D] count,<br />
[D] datasignature, [D] inspect, also see<br />
certifying data<br />
verifying mi data are consistent, [MI] mi update<br />
version, [M-2] version<br />
version command, [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 command<br />
version of ado-file, [R] which<br />
version of <strong>Stata</strong>, [M-5] stataversion( ), [R] about<br />
vertical alignment of text, [G-4] alignmentstyle<br />
videos, see <strong>Stata</strong> YouTube Channel<br />
view<br />
ado command, [R] view<br />
ado d command, [R] view<br />
browse command, [R] view<br />
command, [R] view<br />
help command, [R] view<br />
help d command, [R] view<br />
net command, [R] view<br />
net d command, [R] view<br />
news command, [R] view<br />
search command, [R] view<br />
search d command, [R] view<br />
update command, [R] view<br />
update d command, [R] view<br />
view d command, [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 subcommand, [R] view<br />
viewing previously typed lines, [R] #review<br />
viewsource, [M-1] source<br />
viewsource command, [P] viewsource<br />
vif, estat subcommand, [R] regress postestimation<br />
vignette, [U] 1.2.7 Vignette<br />
virtual, [M-2] class<br />
virtual memory, [D] memory<br />
void<br />
function, [M-2] declarations, [M-6] Glossary<br />
matrix, [M-2] void, [M-6] Glossary<br />
Vuong test, [R] zinb, [R] zip<br />
vwls command, [R] vwls, [R] vwls postestimation<br />
W<br />
Wald test, [PSS] Glossary, [R] contrast, [R] predictnl,<br />
[R] test, [R] testnl, [SEM] intro 7,<br />
[SEM] estat eqtest, [SEM] estat ginvariant,<br />
[SEM] example 13, [SEM] example 22,<br />
[SEM] methods and formulas for sem,<br />
[SEM] test, [SEM] testnl, [SEM] Glossary,<br />
[SVY] svy postestimation, [TS] vargranger,<br />
[TS] varwle, [U] 20.12 Performing hypothesis<br />
tests on the coefficients, [U] 20.12.4 Nonlinear<br />
Wald tests<br />
wardslinkage,<br />
cluster subcommand, [MV] cluster linkage<br />
clustermat subcommand, [MV] cluster linkage<br />
Ward’s linkage clustering, [MV] cluster,<br />
[MV] clustermat, [MV] cluster linkage,<br />
[MV] Glossary<br />
Ward’s method clustering, [MV] cluster,<br />
[MV] clustermat<br />
warning messages, [M-2] pragma<br />
waveragelinkage,<br />
cluster subcommand, [MV] cluster linkage<br />
clustermat subcommand, [MV] cluster linkage<br />
wcorrelation, estat subcommand, [ME] mixed<br />
postestimation, [XT] xtgee postestimation<br />
weak instrument test, [R] ivregress postestimation<br />
weakly balanced, [XT] Glossary<br />
website,<br />
stata.com, [U] 3.2.1 The <strong>Stata</strong> website<br />
(www.stata.com)<br />
stata-press.com, [U] 3.3 <strong>Stata</strong> Press<br />
webuse<br />
command, [D] webuse<br />
query command, [D] webuse<br />
set command, [D] webuse<br />
week() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
weekly() function, [D] datetime, [D] datetime<br />
translation, [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] 20.23 Weighted estimation<br />
weighted data, [U] 11.1.6 weight, [U] 20.23 Weighted<br />
estimation, also see survey data<br />
weighted least squares, [R] regress, [SEM] methods<br />
and formulas for sem, [SEM] Glossary<br />
for grouped data, [R] glogit<br />
generalized linear models, [R] glm<br />
generalized method of moments estimation,<br />
[R] gmm, [R] ivpoisson<br />
instrumental-variables regression, [R] gmm,<br />
[R] ivregress<br />
nonlinear least-squares estimation, [R] nl<br />
nonlinear systems of equations, [R] nlsur<br />
variance, [R] vwls<br />
weighted moving average, [TS] tssmooth,<br />
[TS] tssmooth ma<br />
weighted-average linkage clustering, [MV] cluster,<br />
[MV] clustermat, [MV] cluster linkage,<br />
[MV] Glossary<br />
weights, [G-2] graph twoway scatter<br />
probability, [SVY] survey, [SVY] svydescribe,<br />
[SVY] svyset<br />
sampling, [SVY] survey, [SVY] svydescribe,<br />
[SVY] svyset<br />
Welsch distance, [R] regress postestimation<br />
which, class, [P] classutil