Stata Quick Reference and Index

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98 Subject index complete degrees of freedom for coefficients, [MI] Glossary, [MI] mi estimate complete observations, [MI] Glossary completed-data analysis, [MI] Glossary, [MI] intro substantive, [MI] mi estimate completelinkage, cluster subcommand, [MV] cluster linkage complete-linkage clustering, [MV] cluster, [MV] cluster linkage, [MV] clustermat, [MV] Glossary completely determined outcomes, [R] logit complex, [M-2] declarations, [M-6] Glossary component analysis, [MV] factor, [MV] pca, [MV] rotate, [MV] rotatemat loading plot, [MV] scoreplot plot, [MV] scoreplot scores, [MV] Glossary component-plus-residual plot, [G] graph other, [R] regress postestimation compound double quotes, [P] macro compound symmetric correlation matrix, [MV] mvtest correlations covariance matrix, [MV] mvtest covariances compress command, [D] compress compress files, [D] zipfile compute, fcast subcommand, [TS] fcast compute Comrey’s tandem rotation, [MV] Glossary, [MV] rotate, [MV] rotatemat concat(), egen function, [D] egen concatenating strings, [U] 13.2.2 String operators concordance, estat subcommand, [ST] stcox postestimation cond() function, [D] functions, [M-5] cond( ) condition number, [M-5] cond( ), [M-6] Glossary condition statement, [P] if conditional (fixed-effects) logistic regression, [SVY] svy estimation fixed-effects model, [XT] Glossary logistic regression, [R] asclogit, [R] clogit, [R] rologit, [R] slogit, [XT] xtlogit marginal effects, [R] margins margins, [R] margins operator, [M-2] op conditional variance, [TS] arch, [TS] Glossary confidence intervals, [SVY] variance estimation, [U] 20.7 Specifying the width of confidence intervals for bootstrap statistics, [R] bootstrap postestimation for linear combinations of coefficients, [R] lincom for means, proportions, and counts, [R] ci, [R] mean, [R] proportion, [R] ttest for medians and percentiles, [R] centile for nonlinear combinations of coefficients, [R] nlcom for odds and risk ratios, [R] lincom, [R] nlcom, [ST] epitab, [ST] stci for ratios, [R] ratio confidence intervals, continued for tabulated proportions, [SVY] svy: tabulate twoway for totals, [R] total linear combinations, [SVY] svy postestimation set default, [R] level config, estat subcommand, [MV] mds postestimation configuration, [MV] Glossary plot, [MV] Glossary, [MV] mds postestimation confirm existence command, [P] confirm file command, [P] confirm format command, [P] confirm matrix command, [P] confirm names command, [P] confirm number command, [P] confirm scalar command, [P] confirm variable command, [P] confirm confirm, datasignature subcommand, [D] datasignature conformability, [M-2] void, [M-6] Glossary, also see c-conformability, p-conformability, and r- conformability confounding, [ST] Glossary confusion matrix, [MV] Glossary conj() function, [M-5] conj( ) conj() function, [M-5] conj( ) conjoint analysis, [R] rologit conjugate, [M-5] conj( ), [M-6] Glossary transpose, [M-2] op transpose, [M-5] conj( ), [M-6] Glossary connect() option, [G] cline options, [G] connect options, [G] connectstyle connected, graph twoway subcommand, [G] graph twoway connected connectstyle, [G] connectstyle conren, set subcommand, [R] set console, controlling scrolling of output, [P] more, [R] more obtaining input from, [P] display constrained estimation, [R] constraint, [R] estimation options alternative-specific multinomial probit regression, [R] asmprobit ARCH, [TS] arch ARIMA and ARMAX, [TS] arima bivariate probit regression, [R] biprobit competing risks, [ST] stcrreg complementary log-log regression, [R] cloglog conditional logistic regression, [R] asclogit, [R] clogit generalized negative binomial regression, [R] nbreg heckman selection model, [R] heckman heteroskedastic probit model, [R] hetprob interval regression, [R] intreg linear regression, [R] cnsreg logistic regression, [R] logistic, [R] logit
Subject index 99 constrained estimation, continued logit and probit estimation for grouped data, [R] glogit multinomial logistic regression, [R] mlogit multinomial probit regression, [R] mprobit multivariate regression, [R] mvreg negative binomial regression, [R] nbreg nested logit regression, [R] nlogit ordered logistic regression, [R] ologit ordered probit regression, [R] oprobit parametric survival models, [ST] streg Poisson regression, [R] poisson probit model with endogenous regressors, [R] ivprobit selection, [R] heckprob probit regression, [R] probit random- and fixed-effects logit models, [XT] xtlogit random- and fixed-effects negative binomial models, [XT] xtnbreg random- and fixed-effects Poisson models, [XT] xtpoisson random-effects cloglog model, [XT] xtcloglog random-effects interval-data regression models, [XT] xtintreg random-effects probit model, [XT] xtprobit random-effects tobit models, [XT] xttobit seemingly unrelated regression, [R] sureg stereotype logistic regression, [R] slogit stochastic frontier models, [R] frontier stochastic frontier models for panel data, [XT] xtfrontier structural vector autoregressive models, [TS] var svar three-stage least squares, [R] reg3 tobit model with endogenous regressors, [R] ivtobit treatment-effects model, [R] treatreg vector autoregressive models, [TS] var vector error-correction models, [TS] vec 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 constrained estimation, programming, [P] makecns constrained linear regression, [SVY] svy estimation constrained optimization, [TS] arch, [TS] arima, [TS] dfactor, [TS] dvech, [TS] sspace, [TS] var constraint command, [R] constraint macro extended function, [P] macro constraint matrix, creating and displaying, [P] makecns constructor, [M-2] class containers, [M-5] asarray( ) contents of data, [D] describe; [D] codebook, [D] labelbook context, class, [P] class contingency tables, [MV] ca, [R] table, [R] tabulate twoway, [ST] epitab, [SVY] svy: tabulate twoway continue, display directive, [P] display continue command, [P] continue continuous variable imputation, see imputation, continuous contract command, [D] contract contrast or contrasts, [MV] Glossary control charts, [R] qc convergence criteria, [R] maximize conversion, file, [D] filefilter convert, mi subcommand, [MI] mi convert converting between styles, [MI] mi convert convolve() function, [M-5] fft( ) Cook–Weisberg test for heteroskedasticity, [R] regress postestimation Cook’s D, [R] predict, [R] regress postestimation coordinates, estat subcommand, [MV] ca postestimation, [MV] mca postestimation copy, graph subcommand, [G] graph copy label subcommand, [D] label mi subcommand, [MI] mi copy, [MI] styles ssc subcommand, [R] ssc copy and paste, [D] edit .copy built-in class function, [P] class copy command, [D] copy copy graph, [G] graph copy copy macro extended function, [P] macro copycolor, set subcommand, [R] set copying variables, [D] clonevar copyright lapack, [R] copyright lapack scintilla, [R] copyright scintilla symbol, [G] text ttf2pt1, [R] copyright ttf2pt1 copyright command, [R] copyright copysource, [M-1] source Cornfield confidence intervals, [ST] epitab Corr() function, [M-5] fft( ) corr() function, [M-5] corr( ) corr() function, [D] functions, [M-5] corr( ), [P] matrix define corr2data command, [D] corr2data correcting data, see editing data correlate command, [R] correlate correlated error, see robust correlated errors, [SVY] variance estimation, see robust, Huber/White/sandwich estimator of variance correlation, [R] correlate; [M-5] corr( ), [M-5] fft( ) [M-5] mean( ), compound symmetric, [MV] mvtest correlations data generation, [D] corr2data, [D] drawnorm for binary variables, [R] tetrachoric intracluster, [R] loneway Kendall’s rank, [R] spearman matrices, [MV] mvtest correlations, [R] correlate, [R] estat
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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
Page 54 and 55: Title reading data — Quick refere
Page 57 and 58: Title Acronym glossary 2SIV 2SLS 3S
Page 59 and 60: Acronym glossary 55 IC ICD-9 IIA i.
Page 61 and 62: Acronym glossary 57 QDA QML rc RCT
Page 63 and 64: Vignettes index 59 Vignettes index
Page 65 and 66: Author index 61 Author index A Aale
Page 67 and 68: Author index 63 Blackburne III, E.
Page 69 and 70: Author index 65 Conover, W. J., [R]
Page 71 and 72: Author index 67 Feinleib, M., [XT]
Page 73 and 74: Author index 69 Green, P. E., [MV]
Page 75 and 76: Author index 71 Hipel, K. W., [TS]
Page 77 and 78: Author index 73 Klein, J. P., [ST]
Page 79 and 80: Author index 75 Lu, J. Y., [TS] pra
Page 81 and 82: Author index 77 Muirhead, R. J., [M
Page 83 and 84: Author index 79 Ponce de Leon, A.,
Page 85 and 86: Author index 81 Schonlau, M., [R] g
Page 87 and 88: Author index 83 ter Bogt, T., [MV]
Page 89 and 90: Author index 85 Wichern, D. W., con
Page 91 and 92: Subject index 87 Subject index ! (n
Page 93 and 94: Subject index 89 args command, [P]
Page 95 and 96: 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: Subject index 97 cointegration, con
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 and 148: Subject index 143 rc built-in varia
Page 149 and 150: Subject index 145 return, [M-2] ret
Page 151 and 152: Subject index 147 RVI, see relative
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Subject index 149 set, continued fa
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Subject index 151 Sneath and Sokel
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Subject index 153 Stata, continued
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Subject index 155 stset command for
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Subject index 157 svy: truncreg com
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Subject index 159 tests, continued
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Subject index 161 truncating real n
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Subject index 163 variables, contin
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Subject index 165 weights, continue
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