Subject index - Stata

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98 Subject index streg command, [ST] stcurve, [ST] streg, [ST] streg postestimation streset command, [ST] stset streset command for mi data, [MI] mi XXXset streset, mi subcommand, [MI] mi XXXset stress, [MV] mds postestimation, [MV] Glossary stress, estat subcommand, [MV] mds postestimation strict stationarity, [TS] Glossary string concatenation, [M-5] invtokens( ) duplication, [M-5] strdup( ) functions, [D] functions, [M-4] string, [U] 12.4 Strings, [U] 23 Working with strings pattern matching, [M-5] strmatch( ) variables, [D] data types, [D] infile (free format), [U] 12.4 Strings, [U] 23 Working with strings converting to numbers, [D] functions encoding, [D] encode exporting, [D] export formatting, [D] format importing, [D] import inputting, [D] edit, [D] input, [U] 21 Entering and importing data long, [U] 12.4.12 How to see the full contents of a strL or a str# variable, also see strL making from value labels, [D] encode mapping to numbers, [D] destring, [D] encode, [D] label, also see real() function parsing, [P] gettoken, [P] tokenize sort order, [U] 13.2.3 Relational operators splitting into parts, [D] split string, [M-2] declarations, [M-6] Glossary string to real, convert, [M-5] strtoreal( ) string() function, [D] functions stritrim() function, [M-5] strtrim( ) strL, [D] data types, [U] 12.4 Strings displaying, [U] 12.4.12 How to see the full contents of a strL or a str# variable strlen() function, [D] functions, [M-5] strlen( ) strlower() function, [D] functions, [M-5] strupper( ) strltrim() function, [D] functions, [M-5] strtrim( ) strmatch() function, [D] functions, [M-5] strmatch( ) strofreal() function, [D] functions, [M-5] strofreal( ) strongly balanced, [XT] Glossary strpos() function, [D] functions, [M-5] strpos( ) strproper() function, [D] functions, [M-5] strupper( ) strreverse() function, [D] functions, [M-5] strreverse( ) strrtrim() function, [D] functions, [M-5] strtrim( ) strtoname() function, [D] functions, [M-5] strtoname( ) strtoreal() function, [M-5] strtoreal( ) strtoreal() function, [M-5] strtoreal( ) strtrim() function, [D] functions, [M-5] strtrim( ) struct, [M-2] struct structural equation modeling, [MV] intro, [SEM] methods and formulas for gsem, [SEM] methods and formulas for sem, [SEM] Glossary, [SVY] svy estimation, [U] 26.4 Structural equation modeling (SEM) structural model, [SEM] intro 5, [SEM] example 7, [SEM] example 9, [SEM] example 32g, [SEM] Glossary, [TS] Glossary structural time-series model, [TS] psdensity, [TS] sspace, [TS] ucm, [TS] Glossary structural vector autoregressive model, [TS] var intro, [TS] var svar, [TS] Glossary postestimation, [R] regress postestimation time series, [TS] fcast compute, [TS] fcast graph, [TS] irf, [TS] irf create, [TS] var svar postestimation, [TS] vargranger, [TS] varlmar, [TS] varnorm, [TS] varsoc, [TS] varstable, [TS] varwle structure, [MV] Glossary structure, estat subcommand, [MV] discrim lda postestimation, [MV] factor postestimation structured, [SEM] Glossary structured (correlation or covariance), [SEM] Glossary structures, [M-2] struct, [M-5] liststruct( ), [M-6] Glossary strupper() function, [D] functions, [M-5] strupper( ) sts command, [ST] sts, [ST] sts generate, [ST] sts graph, [ST] sts list, [ST] sts test sts generate command, [ST] sts, [ST] sts generate sts graph command, [ST] sts, [ST] sts graph sts list command, [ST] sts, [ST] sts list sts test command, [ST] sts, [ST] sts test .stsem file, [U] 11.6 Filenaming conventions stset command, [ST] stset stset command for mi data, [MI] mi XXXset stset, mi subcommand, [MI] mi XXXset stsplit command, [ST] stsplit stsplit for mi data, [MI] mi stsplit stsplit, mi subcommand, [MI] mi stsplit stsum command, [ST] stsum sttocc command, [ST] sttocc sttoct command, [ST] sttoct Stuart–Maxwell test statistic, [R] symmetry Student–Newman–Keuls’ multiple-comparison adjustment, see multiple comparisons, Student– Newman–Keuls’ method Studentized residuals, [R] predict, [R] regress postestimation Studentized-range multiple-comparison adjustment, see multiple comparisons, Tukey’s method Student’s t, also see t distribution density, central, [D] functions noncentral, [D] functions distribution, cumulative, [D] functions cumulative noncentral, [D] functions inverse cumulative, [D] functions
Subject index 99 Student’s t, distribution, continued inverse cumulative noncentral, [D] functions inverse reverse cumulative, [D] functions reverse cumulative, [D] functions study, case–control, see case–control study cohort, see cohort study controlled clinical trial, see controlled clinical trial study cross-sectional, see cross-sectional study experimental, see experimental study follow-up, see cohort study matched, see matched study observational, see observational study one-sample, see one-sample study paired, see paired study prospective, see prospective study randomized controlled trial, see randomized controlled trial study retrospective, see retrospective study two-sample, see two-sample study study design, [PSS] intro stvary command, [ST] stvary style added line, [G-4] addedlinestyle area, [G-4] areastyle axis, [G-4] tickstyle by-graphs, [G-4] bystyle clock position, [G-4] clockposstyle color, [G-4] colorstyle compass direction, [G-4] compassdirstyle connect points, [G-4] connectstyle grid lines, [G-4] gridstyle legends, [G-4] legendstyle lines, [G-4] linepatternstyle, [G-4] linestyle, [G-4] linewidthstyle lists, [G-4] stylelists margins, [G-4] marginstyle marker labels, [G-4] markerlabelstyle, [G-4] markersizestyle, [G-4] markerstyle markers, [G-4] symbolstyle plot, [G-4] pstyle text, [G-4] textsizestyle, [G-4] textstyle text display angle, [G-4] anglestyle text justification, [G-4] justificationstyle textboxes, [G-4] orientationstyle, [G-4] textboxstyle vertical alignment of text, [G-4] alignmentstyle style, flong, see flong flongsep, see flongsep mlong, see mlong wide, see wide style, [MI] mi convert, [MI] styles, [MI] Glossary stylelist, [G-4] stylelists subclass, [M-2] class subdirectories, [U] 11.6 Filenaming conventions subhazard, [ST] Glossary, also see cumulative subhazard function subhazard ratio, [R] eform option, [R] lincom, [ST] Glossary, also see cumulative subhazard function subinertia, estat subcommand, [MV] mca postestimation subinstr macro extended function, [P] macro subinstr() function, [D] functions, [M-5] subinstr( ) subinword() function, [D] functions, [M-5] subinstr( ) sublowertriangle() function, [M-5] sublowertriangle( ) sublowertriangle() function, [M-5] sublowertriangle( ) subpopulation differences, [SVY] survey, [SVY] svy postestimation estimation, [SVY] subpopulation estimation, [SVY] svy estimation, [SVY] Glossary means, [SVY] svy estimation proportions, [SVY] svy estimation, [SVY] svy: tabulate oneway, [SVY] svy: tabulate twoway ratios, [SVY] svy estimation, [SVY] svy: tabulate oneway, [SVY] svy: tabulate twoway standard deviations of, [SVY] estat totals, [SVY] svy estimation, [SVY] svy: tabulate oneway, [SVY] svy: tabulate twoway subroutines, adding, [MV] cluster programming utilities subscripting matrices, [P] matrix define subscripts, [G-4] text, [M-2] subscripts, [M-6] Glossary subscripts in expressions, [U] 13.7 Explicit subscripting substantive constraints, see constraints substr() function, [M-5] substr( ) substr() function, [D] functions, [M-5] substr( ) substring function, [D] functions subtitle() option, [G-3] title options subtraction operator, see arithmetic operators success–failure proportion, [PSS] power pairedproportions, [PSS] Glossary successive difference replication, [SVY] sdr options, [SVY] svy sdr, [SVY] variance estimation, [SVY] Glossary successive difference replication standard errors, [SVY] svy sdr, [SVY] variance estimation suest command, [R] suest, [SVY] svy postestimation .sum file, [U] 11.6 Filenaming conventions sum of vector, [M-5] runningsum( ) sum() function, [D] functions, [M-5] sum( )
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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
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 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
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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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