Stata Quick Reference and Index

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144 Subject index relative, continued risk, [ST] epitab variance increase, [MI] Glossary, [MI] mi estimate reldif() function, [D] functions, [M-5] reldif( ) release marker, [P] version releases, compatibility of Stata programs across, [P] version reliability, [MV] factor, [R] alpha, [R] eivreg, [R] loneway reliability theory, see survival analysis remainder function, [D] functions REML (restricted maximum likelihood), [XT] Glossary removing directories, [D] rmdir creating, [D] mkdir files, [D] erase rename, char subcommand, [P] char cluster subcommand, [MV] cluster utility graph subcommand, [G] graph rename irf subcommand, [TS] irf rename matrix subcommand, [P] matrix utility mi subcommand, [MI] mi rename rename, [M-3] mata rename rename command, [D] rename rename for mi data, [MI] mi rename rename graph, [G] graph rename renamevar, cluster subcommand, [MV] cluster utility renaming variables, [MI] mi rename renpfix command, [D] rename renumber, notes subcommand, [D] notes reordering data, [D] sort; [D] order, [D] gsort reorganizing data, [D] reshape, [D] xpose repeated measures, [MV] Glossary ANOVA, [R] anova MANOVA, [MV] manova repeated options, [G] concept: repeated options repeating and editing commands, [R] #review, [U] 10 Keyboard use repeating commands, [D] by, [P] continue, [P] foreach, [P] forvalues replace, notes subcommand, [D] notes replace command, [D] generate, [MI] mi passive, [MI] mi xeq replace option, [U] 11.2 Abbreviation rules replace0, mi subcommand, [MI] mi replace0 replay, estimates subcommand, [R] estimates replay replay() function, [D] functions; [P] ereturn, [P] estimates replicate-weight variable, [SVY] Glossary, [SVY] survey, [SVY] svy brr, [SVY] svy jackknife, [SVY] svyset replicating clustered observations, [D] expandcl observations, [D] expand replication method, [SVY] svy brr, [SVY] svy jackknife, [SVY] svyset, [SVY] variance estimation report, datasignature subcommand, [D] datasignature duplicates subcommand, [D] duplicates ml subcommand, [R] ml repost, ereturn subcommand, [P] return request(macname), display directive, [P] display resampling, [SVY] Glossary reserved names, [U] 11.3 Naming conventions words, [M-2] reswords reset, mi subcommand, [MI] mi reset reset, translator subcommand, [R] translate RESET test, [R] regress postestimation reset id, serset subcommand, [P] serset reshape, mi subcommand, [MI] mi reshape reshape command, [D] reshape reshape for mi data, [MI] mi reshape residual-versus-fitted and residual-versus-predicted plots, [G] graph other residual-versus-fitted plot, [R] regress postestimation residual-versus-predictor plot, [R] regress postestimation residuals, [R] logistic, [R] predict, [R] regress postestimation, [R] rreg residuals, estat subcommand, [MV] factor postestimation, [MV] pca postestimation resistant smoothers, [R] smooth restore, estimates subcommand, [R] estimates store return subcommand, [P] return snapshot subcommand, [D] snapshot restore command, [P] preserve restoring data, [D] snapshot restricted cubic splines, [R] mkspline results, clear subcommand, [D] clear results, clearing, [P] ereturn, [P] estimates, [P] return listing, [P] ereturn, [P] estimates, [P] return returning, [P] return, [P] return saved, [R] saved results saving, [R] estimates save; [P] ereturn, [P] estimates, [P] postfile, [P] return, [P] return return dir command, [P] return drop command, [P] return hold command, [P] return restore command, [P] return return add command, [P] return clear command, [P] return local command, [P] return matrix command, [P] return scalar command, [P] return
Subject index 145 return, [M-2] return return() function, [D] functions return codes, [P] rmsg, see error messages and return codes return list command, [R] saved results returning results, [P] return class programs, [P] class reventries, set subcommand, [R] set reverse() string function, [D] functions reversed scales, [G] axis scale options #review command, [R] #review, [U] 10 Keyboard use, [U] 15 Saving and printing output—log files revkeyboard, set subcommand, [R] set revorder() function, [M-5] invorder( ) rgamma() function, [D] functions, [M-5] runiform( ) rhypergeometric() function, [D] functions, [M-5] runiform( ) ridge prior, [MI] mi impute mvn right eigenvectors, [M-5] eigensystem( ) right suboption, [G] justificationstyle rightmost options, [G] concept: repeated options risk difference, [ST] epitab factor, [ST] epitab, [ST] Glossary pool, [ST] Glossary, [ST] stcox, [ST] stcrreg, [ST] stset ratio, [R] binreg, [ST] epitab, [ST] Glossary rline, graph twoway subcommand, [G] graph twoway rline rm command, [D] erase rmcoll command, [P] rmcoll rmdcoll command, [P] rmcoll rmdir() function, [M-5] chdir( ) rmdir() function, [M-5] chdir( ) rmdir command, [D] rmdir rmexternal() function, [M-5] findexternal( ) rmsg, [P] creturn, [P] error, [U] 8 Error messages and return codes set subcommand, [P] rmsg rmsg, set subcommand, [R] set rnbinomial() function, [D] functions, [M-5] runiform( ) rnormal() function, [D] functions, [M-5] runiform( ) robust, Huber/White/sandwich estimator of variance, [P] robust, [R] vce option, [SVY] variance estimation, [XT] vce options alternative-specific conditional logit model, [R] asclogit alternative-specific multinomial probit regression, [R] asmprobit alternative-specific rank-ordered probit regression, [R] asroprobit ARCH, [TS] arch ARIMA and ARMAX, [TS] arima bivariate probit regression, [R] biprobit complementary log-log regression, [R] cloglog conditional logistic regression, [R] clogit robust, Huber/White/sandwich estimator of variance, continued constrained linear regression, [R] cnsreg Cox proportional hazards model, [ST] stcox, [ST] stcrreg fit population-averaged panel-data models by using GEE, [XT] xtgee fixed- and random-effects linear models, [XT] xtreg generalized linear models, [R] glm generalized linear models for binomial family, [R] binreg generalized method of moments, [R] gmm heckman selection model, [R] heckman heteroskedastic probit model, [R] hetprob instrumental-variables regression, [R] ivregress interval regression, [R] intreg linear dynamic panel-data estimation, [XT] xtabond, [XT] xtdpd, [XT] xtdpdsys linear regression, [R] regress linear regression with dummy-variable set, [R] areg logistic regression, [R] logistic, [R] logit logit and probit estimation for grouped data, [R] glogit multinomial logistic regression, [R] mlogit multinomial probit regression, [R] mprobit negative binomial regression, [R] nbreg nested logit regression, [R] nlogit Newey–West regression, [TS] newey nonlinear least-squares estimation, [R] nl nonlinear systems of equations, [R] nlsur ordered logistic regression, [R] ologit ordered probit regression, [R] oprobit parametric survival models, [ST] streg Poisson regression, [R] poisson population-averaged cloglog models, [XT] xtcloglog population-averaged logit models, [XT] xtlogit population-averaged negative binomial models, [XT] xtnbreg population-averaged Poisson models, [XT] xtpoisson population-averaged probit models, [XT] xtprobit Prais–Winsten and Cochrane–Orcutt regression, [TS] prais probit model with endogenous regressors, [R] ivprobit probit model with sample selection, [R] heckprob probit regression, [R] probit rank-ordered logistic regression, [R] rologit skewed logistic regression, [R] scobit stereotype logistic regression, [R] slogit tobit model, [R] tobit tobit model with endogenous regressors, [R] ivtobit treatment-effects model, [R] treatreg truncated regression, [R] truncreg zero-inflated negative binomial regression, [R] zinb zero-inflated Poisson regression, [R] zip zero-truncated negative binomial regression, [R] ztnb zero-truncated Poisson regression, [R] ztp
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STATA QUICK REFERENCE AND INDEX REL
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i Table of contents Combined subjec
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2 Inputting and saving data [GS] Ch
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4 [D] changeeol . . . . . . . . . .
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6 [R] estimates title . . . . . . .
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8 [G] graph twoway lowess . . . . .
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10 Graph schemes [G] schemes intro
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12 [MV] clustermat . . . . . . . .
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14 [MV] scoreplot . . . . . . . . .
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16 [R] mprobit . . . . . . . . . .
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18 Nonparametric statistics [R] kde
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20 [R] predict . . . . . . . . . .
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22 [TS] tsreport . . . . . . . . .
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24 [P] fvexpand . . . . . . . . . .
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26 Mata [M] Mata Reference Manual .
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Title estimation commands — Quick
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30 estimation commands — Quick re
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Title format — Quick reference fo
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Title missing values — Quick refe
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40 postestimation commands — Quic
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Page 52 and 53:
Title prefix commands — Quick ref
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Title reading data — Quick refere
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Title Acronym glossary 2SIV 2SLS 3S
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Acronym glossary 55 IC ICD-9 IIA i.
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Acronym glossary 57 QDA QML rc RCT
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Vignettes index 59 Vignettes index
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Author index 61 Author index A Aale
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Author index 63 Blackburne III, E.
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Author index 65 Conover, W. J., [R]
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Author index 67 Feinleib, M., [XT]
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Author index 69 Green, P. E., [MV]
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Author index 71 Hipel, K. W., [TS]
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Author index 73 Klein, J. P., [ST]
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Author index 75 Lu, J. Y., [TS] pra
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Author index 77 Muirhead, R. J., [M
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Author index 79 Ponce de Leon, A.,
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Author index 81 Schonlau, M., [R] g
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Author index 83 ter Bogt, T., [MV]
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Author index 85 Wichern, D. W., con
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Subject index 87 Subject index ! (n
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Subject index 89 args command, [P]
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Subject index 91 bias corrected and
Page 97 and 98: Subject index 93 c(minbyte) c-class
Page 99 and 100: Subject index 95 choice models, con
Page 101 and 102: Subject index 97 cointegration, con
Page 103 and 104: Subject index 99 constrained estima
Page 105 and 106: Subject index 101 cumsp command, [T
Page 107 and 108: Subject index 103 describe, continu
Page 109 and 110: Subject index 105 DLL, [P] plugin D
Page 111 and 112: Subject index 107 end-of-line chara
Page 113 and 114: Subject index 109 estat, continued
Page 115 and 116: Subject index 111 FEVD, [TS] Glossa
Page 117 and 118: Subject index 113 fsave, window sub
Page 119 and 120: Subject index 115 graph, continued
Page 121 and 122: Subject index 117 Harrell’s C, [S
Page 123 and 124: Subject index 119 Im-Pesaran-Shin t
Page 125 and 126: Subject index 121 invfft() function
Page 127 and 128: Subject index 123 label values, [P]
Page 129 and 130: Subject index 125 loading, [MV] Glo
Page 131 and 132: Subject index 127 markers, [G] mark
Page 133 and 134: Subject index 129 mband, graph twow
Page 135 and 136: Subject index 131 missing data, [MI
Page 137 and 138: Subject index 133 mvdecode command,
Page 139 and 140: Subject index 135 number to string
Page 141 and 142: Subject index 137 parameter trace f
Page 143 and 144: Subject index 139 polytomous logist
Page 145 and 146: Subject index 141 proportions, [R]
Page 147: Subject index 143 rc built-in varia
Page 151 and 152: Subject index 147 RVI, see relative
Page 153 and 154: Subject index 149 set, continued fa
Page 155 and 156: Subject index 151 Sneath and Sokel
Page 157 and 158: Subject index 153 Stata, continued
Page 159 and 160: Subject index 155 stset command for
Page 161 and 162: Subject index 157 svy: truncreg com
Page 163 and 164: Subject index 159 tests, continued
Page 165 and 166: Subject index 161 truncating real n
Page 167 and 168: Subject index 163 variables, contin
Page 169 and 170: Subject index 165 weights, continue
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