Subject index - Stata

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100 Subject index summarize, estat subcommand, [MV] ca postestimation, [MV] discrim estat, [MV] discrim knn postestimation, [MV] discrim lda postestimation, [MV] discrim logistic postestimation, [MV] discrim qda postestimation, [MV] factor postestimation, [MV] mca postestimation, [MV] mds postestimation, [MV] pca postestimation, [MV] procrustes postestimation, [R] estat, [R] estat summarize, [SEM] estat summarize misstable subcommand, [R] misstable serset subcommand, [P] serset summarize command, [D] format, [R] summarize, [R] tabulate, summarize() summarizing data, [D] codebook, [D] inspect, [R] summarize, [R] tabstat, [SVY] svy: tabulate twoway, [XT] xtsum, [R] lv, [R] table, [R] tabulate oneway, [R] tabulate twoway, [R] tabulate, summarize() summary statistics, [SEM] estat summarize, see descriptive statistics summary statistics data, [SEM] intro 11, [SEM] example 2, [SEM] example 19, [SEM] example 25, [SEM] sem option select( ), [SEM] sem ssd options, [SEM] ssd, [SEM] Glossary summary variables, generating, [MV] cluster generate summative (Likert) scales, [MV] alpha sums, creating dataset containing, [D] collapse over observations, [D] egen, [D] functions, [R] summarize over variables, [D] egen sunflower command, [R] sunflower sunflower plots, [R] sunflower Super, class prefix operator, [P] class .superclass built-in class function, [P] class superscripts, [G-4] text super-varying variables, [MI] mi varying, [MI] Glossary supplementary rows or columns, [MV] ca, [MV] Glossary supplementary variables, [MV] mca, [MV] Glossary support of Stata, [U] 3 Resources for learning and using Stata suppressing graphs, [G-3] nodraw option suppressing terminal output, [P] quietly SUR, see seemingly unrelated regression sureg command, [R] sureg, [R] sureg postestimation, [SEM] intro 5, [SEM] example 12 survey data, [MI] intro substantive, [MI] mi estimate, [SEM] intro 10, [SVY] survey, [SVY] svydescribe, [SVY] svyset, [SVY] Glossary, [U] 26.24 Survey data design, [SVY] Glossary postestimation, [SVY] svy postestimation prefix command, [SVY] svy survey, continued sampling, [SVY] survey, [SVY] svydescribe, [SVY] svyset also see cluster sampling survival analysis, [G-2] graph other, [R] intreg, [R] logistic, [R] poisson, [ST] survival analysis, [ST] ct, [ST] ctset, [ST] cttost, [ST] discrete, [ST] ltable, [ST] snapspan, [ST] st, [ST] st is, [ST] stcox, [ST] stcox PH-assumption tests, [ST] stcox postestimation, [ST] stcrreg, [ST] stcrreg postestimation, [ST] stcurve, [ST] stdescribe, [ST] stfill, [ST] stgen, [ST] stir, [ST] stpower cox, [ST] stpower exponential, [ST] stpower logrank, [ST] stptime, [ST] strate, [ST] streg, [ST] streg postestimation, [ST] sts, [ST] sts generate, [ST] sts list, [ST] sts test, [ST] stset, [ST] stsplit, [ST] stsum, [ST] sttocc, [ST] sttoct, [ST] stvary, [SVY] svy estimation, [U] 26.20 Survival-time (failure-time) models survival clinical trial, [ST] stpower survival data, [MI] mi estimate, [MI] mi predict survival models, [SVY] svy estimation survival-time data, see survival analysis survivor function, [G-2] graph other, [ST] sts, [ST] sts generate, [ST] sts list, [ST] sts test, [ST] Glossary graph of, [ST] stcurve, [ST] sts graph SUTVA, see stable unit treatment value assumption SVAR, see structural vector autoregressive svar command, [TS] var svar, [TS] var svar postestimation SVD, see singular value decomposition svd() function, [M-5] svd( ) svd() function, [M-5] svd( ) svd, matrix subcommand, [P] matrix svd svd la() function, [M-5] svd( ), [M-5] fullsvd( ) svdsv() function, [M-5] svd( ) svdsv() function, [M-5] svd( ) svmat command, [P] matrix mkmat svsolve() function, [M-5] svsolve( ) svsolve() function, [M-5] svsolve( ) svy: biprobit command, [SVY] svy estimation svy: clogit command, [SVY] svy estimation svy: cloglog command, [SVY] svy estimation svy: cnsreg command, [SVY] svy estimation svy: etregress command, [SVY] svy estimation svy: glm command, [SVY] svy estimation svy: gnbreg command, [SVY] svy estimation svy: heckman command, [SVY] svy estimation svy: heckoprobit command, [SVY] svy estimation svy: heckprobit command, [SVY] svy estimation svy: hetprobit command, [SVY] svy estimation svy: intreg command, [SVY] svy estimation svy: ivprobit command, [SVY] svy estimation svy: ivregress command, [SVY] svy estimation svy: ivtobit command, [SVY] svy estimation svy: logistic command, [SVY] svy estimation, [SVY] svy postestimation svy: logit command, [SVY] svy estimation
Subject index 101 svy: mean command, [SVY] survey, [SVY] estat, [SVY] poststratification, [SVY] subpopulation estimation, [SVY] svy, [SVY] svy estimation, [SVY] svy postestimation, [SVY] svydescribe, [SVY] svyset svy: mlogit command, [SVY] svy estimation svy: mprobit command, [SVY] svy estimation svy: nbreg command, [SVY] svy estimation svy: nl command, [SVY] svy estimation svy: ologit command, [SVY] svy estimation, [SVY] svy postestimation svy: oprobit command, [SVY] svy estimation svy: poisson command, [SVY] svy estimation svy: probit command, [SVY] svy estimation svy: proportion command, [SVY] svy estimation svy: ratio command, [SVY] direct standardization, [SVY] svy brr, [SVY] svy estimation, [SVY] svy: tabulate twoway svy: regress command, [SVY] survey, [SVY] svy, [SVY] svy estimation, [SVY] svy jackknife, [SVY] svy postestimation svy: scobit command, [SVY] svy estimation svy: sem command, [SVY] svy estimation svy: slogit command, [SVY] svy estimation svy: stcox command, [SVY] svy estimation svy: streg command, [SVY] svy estimation svy: tabulate command, [SVY] svy: tabulate oneway, [SVY] svy: tabulate twoway svy: tnbreg command, [SVY] svy estimation svy: tobit command, [SVY] svy estimation svy: total command, [SVY] svy brr, [SVY] svy estimation svy: tpoisson command, [SVY] svy estimation svy: truncreg command, [SVY] svy estimation svy: zinb command, [SVY] svy estimation svy: zip command, [SVY] svy estimation svy bootstrap prefix command, [SVY] svy bootstrap svy brr prefix command, [SVY] svy brr svy jackknife prefix command, [SVY] svy jackknife svy prefix command, [SVY] svy svy sdr prefix command, [SVY] svy sdr svydescribe command, [SVY] survey, [SVY] svydescribe svymarkout command, [P] mark, [SVY] svymarkout svyset command, [SVY] survey, [SVY] svyset svyset command for mi data, [MI] mi XXXset svyset, estat subcommand, [SVY] estat svyset, mi subcommand, [MI] mi XXXset swap() function, [M-5] swap( ) sweep() function, [D] functions, [P] matrix define swilk command, [R] swilk switching styles, [MI] mi convert Sybase, reading data from, [U] 21.4 Transfer programs symbolic forms, [R] anova symbolpalette, palette subcommand, [G-2] palette symbols, [G-4] text, also see markers symbolstyle, [G-4] symbolstyle symeigen, matrix subcommand, [P] matrix symeigen symeigen la() function, [M-5] eigensystem( ) symeigensystem() function, [M-5] eigensystem( ) symeigensystem() function, [M-5] eigensystem( ) symeigensystemselect*() functions, [M-5] eigensystemselect( ) symeigensystemselect*() functions, [M-5] eigensystemselect( ) symeigenvalues() function, [M-5] eigensystem( ) symeigenvalues() function, [M-5] eigensystem( ) symmetric matrices, [M-5] issymmetric( ), [M-5] makesymmetric( ), [M-6] Glossary symmetriconly, [M-6] Glossary symmetry, [PSS] power, [PSS] power pairedproportions, [PSS] Glossary symmetry command, [R] symmetry symmetry plots, [G-2] graph other, [R] diagnostic plots symmetry test, [R] symmetry symmi command, [R] symmetry symplot command, [R] diagnostic plots syntax, [M-2] syntax syntax command, [P] syntax syntax diagrams explained, [R] intro syntax of Stata’s language, [P] syntax, [U] 11 Language syntax sysdir command, [U] 17.5 Where does Stata look for adofiles? list command, [P] sysdir macro extended function, [P] macro set command, [P] sysdir sysmiss, see missing values Systat, reading data from, [U] 21.4 Transfer programs system estimators, [R] gmm, [R] ivpoisson, [R] ivregress, [R] nlsur, [R] reg3, [R] sureg, [U] 26.15 Regression with systems of equations, also see generalized method of moments limits, [P] creturn of equations, [M-5] solvenl( ) parameters, [P] creturn, [R] query, [R] set, [R] set defaults values, [P] creturn variables, [U] 13.4 System variables ( variables) sysuse command, [D] sysuse dir command, [D] sysuse szroeter, estat subcommand, [R] regress postestimation Szroeter’s test for heteroskedasticity, [R] regress postestimation T t distribution cdf, [D] functions confidence interval for mean, [R] ci, [R] mean testing equality of means, [R] esize, [R] ttest
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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
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
Page 97 and 98: Subject index 97 stbase command, [S
Page 99: Subject index 99 Student’s t, dis
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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