Subject index - Stata

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110 Subject index variables, continued unique values, [D] codebook, [D] duplicates, [D] inspect unregistered, [MI] mi rename, [MI] mi set, [MI] Glossary varying and super varying, [MI] mi passive, [MI] mi predict, [MI] mi set, [MI] mi varying, [MI] Glossary Variables Manager, [D] varmanage variance, analysis of, [MV] manova, [PSS] power, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [R] anova, [R] loneway, [R] oneway, [SEM] intro 4 components, [ME] Glossary, also see mixed model creating dataset of, [D] collapse creating variable containing, [D] egen decompositions, see forecast-error variance decomposition displaying, [R] summarize, [R] tabstat, [XT] xtsum estimation, [SVY] variance estimation, [SVY] Glossary estimators, [R] vce option, [XT] vce options Huber/White/sandwich estimator, see robust, Huber/White/sandwich estimator of variance inflation factors, [R] regress postestimation linearized, [SVY] variance estimation nonconstant, [SVY] variance estimation, also see robust, Huber/White/sandwich estimator of variance stabilizing transformations, [R] boxcox testing equality of, [R] sdtest variance–covariance matrix of estimators, [P] ereturn, [P] matrix get, [R] correlate, [R] estat, [R] estat vce, [SEM] Glossary, [U] 20.9 Obtaining the variance–covariance matrix, also see gsem option vce(), also see sem option vce() variance() function, [M-5] mean( ) variance() option, see gsem option variance(), see sem option variance() variance-comparison test, [MV] mvtest covariances, [R] sdtest variances, [PSS] intro, [PSS] power, [PSS] power onevariance, [PSS] power twovariances control-group, [PSS] intro, [PSS] power, [PSS] power twovariances experimental-group, [PSS] intro, [PSS] power, [PSS] power twovariances independent, see variances, two-sample one-sample, [PSS] intro, [PSS] power, [PSS] power onevariance two-sample, [PSS] intro, [PSS] power, [PSS] power twovariances variance-weighted least squares, [R] vwls varimax rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary varkeyboard, set subcommand, [R] set varlist, [P] syntax, [U] 11 Language syntax, [U] 11.4 varlists existing, [U] 11.4.1 Lists of existing variables new, [U] 11.4.2 Lists of new variables time series, [U] 11.4.4 Time-series varlists varlmar command, [TS] varlmar varmanage command, [D] varmanage varnorm command, [TS] varnorm varsoc command, [TS] varsoc varstable command, [TS] varstable varwle command, [TS] varwle varying conditional-correlation model, [TS] mgarch, [TS] mgarch vcc estimation sample, [MI] mi estimate variables, [ST] stvary, also see variables, varying and super varying varying, mi subcommand, [MI] mi varying vcc, mgarch subcommand, [TS] mgarch vcc VCE, see variance–covariance matrix of estimators vce() option, [R] vce option, [XT] vce options, see gsem option vce(), see sem option vce() vce, estat subcommand, [R] estat, [R] estat vce, [SVY] estat VEC, see vector error-correction model vec command, [TS] vec, [TS] vec postestimation vec() function, [D] functions, [M-5] vec( ), [P] matrix define vecaccum, matrix subcommand, [P] matrix accum vecdiag() function, [D] functions, [P] matrix define vech() function, [M-5] vec( ) veclmar command, [TS] veclmar VECM, see vector error-correction model vecnorm command, [TS] vecnorm vecrank command, [TS] vecrank vecstable command, [TS] vecstable vector, [M-2] declarations, [M-6] Glossary vector autoregressive forecast, [TS] fcast compute, [TS] fcast graph model, [G-2] graph other, [TS] dfactor, [TS] sspace, [TS] ucm, [TS] var intro, [TS] var, [TS] var svar, [TS] varbasic, [TS] Glossary moving-average model, [TS] dfactor, [TS] sspace, [TS] ucm postestimation, [TS] fcast compute, [TS] fcast graph, [TS] irf, [TS] irf create, [TS] var postestimation, [TS] vargranger, [TS] varlmar, [TS] varnorm, [TS] varsoc, [TS] varstable, [TS] varwle vector error-correction model, [TS] vec intro, [TS] vec, [TS] Glossary, also see multivariate GARCH postestimation, [TS] irf, [TS] irf create, [TS] fcast compute, [TS] fcast graph, [TS] varsoc, [TS] vec postestimation, [TS] veclmar, [TS] vecnorm, [TS] vecrank, [TS] vecstable vector norm, [M-5] norm( ) vectors, see matrices
Subject index 111 verifying data, [D] assert, [D] count, [D] datasignature, [D] inspect, also see certifying data verifying mi data are consistent, [MI] mi update version, [M-2] version version command, [P] version, [U] 16.1.1 Version, [U] 18.11.1 Version class programming, [P] class version control, [M-2] version, [M-5] callersversion( ), see version command version of ado-file, [R] which version of Stata, [M-5] stataversion( ), [R] about vertical alignment of text, [G-4] alignmentstyle videos, see Stata YouTube Channel view ado command, [R] view ado d command, [R] view browse command, [R] view command, [R] view help command, [R] view help d command, [R] view net command, [R] view net d command, [R] view news command, [R] view search command, [R] view search d command, [R] view update command, [R] view update d command, [R] view view d command, [R] view view matrix, [M-5] isview( ), [M-5] st subview( ), [M-5] st view( ), [M-5] st viewvars( ), [M-6] Glossary view source code, [P] viewsource view d, view subcommand, [R] view viewing previously typed lines, [R] #review viewsource, [M-1] source viewsource command, [P] viewsource vif, estat subcommand, [R] regress postestimation vignette, [U] 1.2.7 Vignette virtual, [M-2] class virtual memory, [D] memory void function, [M-2] declarations, [M-6] Glossary matrix, [M-2] void, [M-6] Glossary Vuong test, [R] zinb, [R] zip vwls command, [R] vwls, [R] vwls postestimation W Wald test, [PSS] Glossary, [R] contrast, [R] predictnl, [R] test, [R] testnl, [SEM] intro 7, [SEM] estat eqtest, [SEM] estat ginvariant, [SEM] example 13, [SEM] example 22, [SEM] methods and formulas for sem, [SEM] test, [SEM] testnl, [SEM] Glossary, [SVY] svy postestimation, [TS] vargranger, [TS] varwle, [U] 20.12 Performing hypothesis tests on the coefficients, [U] 20.12.4 Nonlinear Wald tests wardslinkage, cluster subcommand, [MV] cluster linkage clustermat subcommand, [MV] cluster linkage Ward’s linkage clustering, [MV] cluster, [MV] clustermat, [MV] cluster linkage, [MV] Glossary Ward’s method clustering, [MV] cluster, [MV] clustermat warning messages, [M-2] pragma waveragelinkage, cluster subcommand, [MV] cluster linkage clustermat subcommand, [MV] cluster linkage wcorrelation, estat subcommand, [ME] mixed postestimation, [XT] xtgee postestimation weak instrument test, [R] ivregress postestimation weakly balanced, [XT] Glossary website, stata.com, [U] 3.2.1 The Stata website (www.stata.com) stata-press.com, [U] 3.3 Stata Press webuse command, [D] webuse query command, [D] webuse set command, [D] webuse week() function, [D] datetime, [D] functions, [M-5] date( ) weekly() function, [D] datetime, [D] datetime translation, [D] functions, [M-5] date( ) Weibull distribution, [ST] streg Weibull survival regression, [ST] streg weight, [P] syntax [weight=exp] modifier, [U] 11.1.6 weight, [U] 20.23 Weighted estimation weighted data, [U] 11.1.6 weight, [U] 20.23 Weighted estimation, also see survey data weighted least squares, [R] regress, [SEM] methods and formulas for sem, [SEM] Glossary for grouped data, [R] glogit generalized linear models, [R] glm generalized method of moments estimation, [R] gmm, [R] ivpoisson instrumental-variables regression, [R] gmm, [R] ivregress nonlinear least-squares estimation, [R] nl nonlinear systems of equations, [R] nlsur variance, [R] vwls weighted moving average, [TS] tssmooth, [TS] tssmooth ma weighted-average linkage clustering, [MV] cluster, [MV] clustermat, [MV] cluster linkage, [MV] Glossary weights, [G-2] graph twoway scatter probability, [SVY] survey, [SVY] svydescribe, [SVY] svyset sampling, [SVY] survey, [SVY] svydescribe, [SVY] svyset Welsch distance, [R] regress postestimation which, class, [P] classutil
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Subject index Symbols ! (not), see
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Subject index 3 alternative, contin
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Subject index 5 autoregressive, con
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Subject index 7 biquartimax rotatio
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Subject index 9 c(maxstrvarlen) c-c
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Subject index 11 char, continued ma
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Subject index 13 cluster analysis,
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Subject index 15 colnames, matrix s
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Subject index 17 confidence interva
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Subject index 19 convergence, [SEM]
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Subject index 21 cross-sectional da
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Subject index 23 defective matrix,
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Subject index 25 direction of an ef
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Subject index 27 dsign() function,
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Subject index 29 endogenous, contin
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Subject index 31 estat, continued m
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Subject index 33 experimental data,
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Subject index 35 files, continued c
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Subject index 37 frequencies, creat
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Subject index 39 ghessenbergd la()
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Subject index 41 graphs, continued
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Subject index 43 gsem option, conti
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Subject index 45 httpproxy, set sub
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Subject index 47 incidence-rate rat
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Subject index 49 invpoissontail() f
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Subject index 51 label values, [P]
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Subject index 53 lines, continued l
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Subject index 55 lower-triangular m
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Subject index 57 matmissing() funct
Page 59 and 60: Subject index 59 means, continued g
Page 61 and 62: Subject index 61 mindices, estat su
Page 63 and 64: Subject index 63 mreldifre() functi
Page 65 and 66: Subject index 65 nbinomialtail() fu
Page 67 and 68: Subject index 67 nonparametric anal
Page 69 and 70: Subject index 69 ocloglog option, s
Page 71 and 72: Subject index 71 outcomes, continue
Page 73 and 74: Subject index 73 pcorr command, [R]
Page 75 and 76: Subject index 75 postestimation com
Page 77 and 78: Subject index 77 probability of a t
Page 79 and 80: Subject index 79 quad precision, [M
Page 81 and 82: Subject index 81 rcap, graph twoway
Page 83 and 84: Subject index 83 reset, mi subcomma
Page 85 and 86: Subject index 85 robust, Huber/Whit
Page 87 and 88: Subject index 87 sample size, conti
Page 89 and 90: Subject index 89 sem command, [SEM]
Page 91 and 92: Subject index 91 set, cluster subco
Page 93 and 94: Subject index 93 snapshot, [D] snap
Page 95 and 96: Subject index 95 stability, [TS] va
Page 97 and 98: Subject index 97 stbase command, [S
Page 99 and 100: Subject index 99 Student’s t, dis
Page 101 and 102: Subject index 101 svy: mean command
Page 103 and 104: Subject index 103 tempfile command,
Page 105 and 106: Subject index 105 timer, continued
Page 107 and 108: Subject index 107 Tukey’s Student
Page 109: Subject index 109 use command, [D]
Page 113 and 114: Subject index 113 xtcloglog command
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Subject index - Stata

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