Subject index - Stata

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86 Subject index rows of matrix appending to, [P] matrix define names, [P] ereturn, [P] matrix define, [P] matrix rownames operators, [P] matrix define rowscalefactors() function, [M-5] equilrc( ) rowsd(), egen function, [D] egen rowshape() function, [M-5] rowshape( ) rowsof() function, [D] functions, [P] matrix define rowsum() function, [M-5] sum( ) rowtotal(), egen function, [D] egen rowvector, [M-2] declarations, [M-6] Glossary Roy’s largest root test, [MV] canon, [MV] manova, [MV] mvtest means, [MV] Glossary union-intersection test, [MV] canon, [MV] mvtest means union-intersection test, [MV] manova rpoisson() function, [D] functions, [M-5] runiform( ) rreg command, [R] rreg, [R] rreg postestimation rscatter, graph twoway subcommand, [G-2] graph twoway rscatter rseed() function, [D] functions, [M-5] runiform( ) rspike, graph twoway subcommand, [G-2] graph twoway rspike R 2 , [SEM] estat eqgof rt() function, [D] functions, [M-5] runiform( ) rtrim() function, [D] functions Rubin’s combination rules, [MI] mi estimate, [MI] mi estimate using, [MI] mi predict run command, [R] do, [U] 16 Do-files runiform() function, [D] functions, [M-5] runiform( ), [R] set seed runningsum() function, [M-5] runningsum( ) runningsum() function, [M-5] runningsum( ) runtest command, [R] runtest Russell and Rao coefficient similarity measure, [MV] measure option rvalue, class, [P] class rvfplot command, [R] regress postestimation diagnostic plots RVI, see relative variance increase rvpplot command, [R] regress postestimation diagnostic plots S s() function, [D] functions s() stored results, [D] functions, [P] return, [R] stored results, [U] 18.8 Accessing results calculated by other programs, [U] 18.10.3 Storing results in s() s(macros) macro extended function, [P] macro s1color scheme, [G-4] scheme s1 s1manual scheme, [G-4] scheme s1 s1mono scheme, [G-4] scheme s1 s1rcolor scheme, [G-4] scheme s1 s2color scheme, [G-4] scheme s2 s2gcolor scheme, [G-4] scheme s2 s2gmanual scheme, [G-4] scheme s2 s2manual scheme, [G-4] scheme s2 s2mono scheme, [G-4] scheme s2 SAARCH, see simple asymmetric autoregressive conditional heteroskedasticity Sammon mapping criterion, [MV] Glossary sample, [SVY] Glossary random, see random sample sample command, [D] sample sample size, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary, [U] 26.29 Power and sample-size analysis actual, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary cell, [PSS] power twoway control-group, [PSS] intro, [PSS] power twomeans, [PSS] power twoproportions, [PSS] power twovariances, [PSS] power twocorrelations, [PSS] unbalanced designs Cox proportional hazards regression, [ST] stpower, [ST] stpower cox exponential survival, [ST] stpower, [ST] stpower exponential exponential test, [ST] stpower, [ST] stpower exponential experimental-group, [PSS] intro, [PSS] power twomeans, [PSS] power twoproportions, [PSS] power twovariances, [PSS] power twocorrelations, [PSS] unbalanced designs fractional, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary group, [PSS] power oneway, [PSS] power repeated
Subject index 87 sample size, continued log-rank, [ST] stpower, [ST] stpower logrank nominal, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary total, [PSS] intro, [PSS] power twomeans, [PSS] power twoproportions, [PSS] power twovariances, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs sample-size analysis, see power and sample-size analysis curve, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] Glossary determination, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary rounding rules for, [PSS] unbalanced designs sampling, [D] sample, [R] bootstrap, [R] bsample, [SVY] survey, [SVY] svydescribe, [SVY] svyset, [SVY] Glossary, also see cluster sampling rate, [PSS] power, [PSS] power onemean, [PSS] power pairedmeans stage, [SVY] estat, [SVY] Glossary unit, [SVY] survey, [SVY] Glossary, also see primary sampling unit weight, [SVY] survey, [SVY] poststratification, [SVY] Glossary, [U] 11.1.6 weight, [U] 20.23.3 Sampling weights, also see survey data with and without replacement, [SVY] Glossary sandwich/Huber/White estimator of variance, see robust, Huber/White/sandwich estimator of variance Sargan test, [XT] xtabond postestimation, [XT] xtdpd postestimation, [XT] xtdpdsys postestimation sargan, estat subcommand, [XT] xtabond postestimation, [XT] xtdpd postestimation, [XT] xtdpdsys postestimation SAS dates, [D] datetime SAS XPORT format, [D] import sasxport SAS, reading data from, [U] 21.4 Transfer programs sasxport, export subcommand, [D] import sasxport import subcommand, [D] import sasxport satopts() option, see sem option satopts() Satterthwaite’s t test, [PSS] power, [PSS] power twomeans, [PSS] Glossary saturated model, [SEM] estat gof, [SEM] example 4, [SEM] methods and formulas for sem, [SEM] Glossary save, estimates subcommand, [R] estimates save graph subcommand, [G-2] graph save label subcommand, [D] label snapshot subcommand, [D] snapshot save command, [D] save save estimation results, [P] estimates saved results, see stored results saveold command, [D] save saving data, [D] import delimited, [D] outfile, [D] save, [D] snapshot, also see exporting data saving results, [P] estimates, [P] return, [R] estimates save saving() option, [G-3] saving option saw-toothed power function, [PSS] power oneproportion, [PSS] power twoproportions scalar, [M-2] declarations, [M-6] Glossary, [P] scalar confirm subcommand, [P] confirm define command, [P] scalar dir command, [P] scalar drop command, [P] scalar ereturn subcommand, [P] ereturn, [P] return list command, [P] scalar return subcommand, [P] return scalar functions, [M-4] scalar scalar() function, [D] functions scalar() pseudofunction, [P] scalar scalars, [P] scalar namespace and conflicts, [P] matrix, [P] matrix define scale, log, [G-3] axis scale options range of, [G-3] axis scale options reversed, [G-3] axis scale options scale() option, [G-3] scale option scaling, [MV] mds, [MV] mds postestimation plots, [MV] mdslong, [MV] mdsmat scatter, graph twoway subcommand, [G-2] graph twoway scatter scatteri, graph twoway subcommand, [G-2] graph twoway scatteri scatterplot matrices, [G-2] graph matrix
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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,
Page 35 and 36: Subject index 35 files, continued c
Page 37 and 38: Subject index 37 frequencies, creat
Page 39 and 40: Subject index 39 ghessenbergd la()
Page 41 and 42: Subject index 41 graphs, continued
Page 43 and 44: Subject index 43 gsem option, conti
Page 45 and 46: Subject index 45 httpproxy, set sub
Page 47 and 48: Subject index 47 incidence-rate rat
Page 49 and 50: Subject index 49 invpoissontail() f
Page 51 and 52: Subject index 51 label values, [P]
Page 53 and 54: Subject index 53 lines, continued l
Page 55 and 56: Subject index 55 lower-triangular m
Page 57 and 58: 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: Subject index 85 robust, Huber/Whit
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 and 110: Subject index 109 use command, [D]
Page 111 and 112: Subject index 111 verifying data, [
Page 113 and 114: Subject index 113 xtcloglog command
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