Stata Quick Reference and Index

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90 Subject index available-case analysis, [MI] intro substantive average marginal effects, [R] margins average partial effects (APEs), [R] margins average predictions, [R] margins average RVI, [MI] Glossary, [MI] mi estimate averagelinkage, cluster subcommand, [MV] cluster linkage average-linkage clustering, [MV] cluster, [MV] cluster linkage, [MV] clustermat, [MV] Glossary averages, see means avplot and avplots commands, [R] regress postestimation [aweight=exp] modifier, [U] 11.1.6 weight, [U] 20.18.2 Analytic weights axes multiple scales, [G] axis choice options setting offset between and plot region, [G] region options suppressing, [G] axis scale options axis labeling, [G] axis label options, [G] axis options line, look of, [G] axis scale options, [G] cat axis label options, [G] cat axis line options log, [G] axis scale options overall look, [G] axisstyle range, [G] axis scale options reversed, [G] axis scale options scale, [G] axis options, [G] axis scale options selection of, [G] axis choice options suppressing, [G] axis scale options ticking, [G] axis label options titling, [G] axis options, [G] axis title options suppressing, [G] axis title options axisstyle, [G] axisstyle B b() function, [D] functions b[], [U] 13.5 Accessing coefficients and standard errors b1title() option, [G] title options b2title() option, [G] title options background color, [G] schemes intro setting, [G] region options balanced data, [XT] Glossary balanced repeated replication, [SVY] brr options, [SVY] Glossary, [SVY] svy brr, [SVY] variance estimation bar graph subcommand, [G] graph bar graph twoway subcommand, [G] graph twoway bar bar charts, [G] graph bar barbsize option, [G] graph twoway pcarrow barlook options, [G] barlook options bars labeling, [G] blabel option look of, [G] barlook options Bartlett scoring, [MV] factor postestimation Bartlett’s bands, [TS] corrgram periodogram test, [TS] wntestb test for equal variances, [R] oneway base conversion, [M-5] inbase( ) BASE directory, [P] sysdir, [U] 17.5 Where does Stata look for ado-files? base level, [U] 11.4.3 Factor variables base plottypes, [G] advanced options baseline, [ST] Glossary baseline dataset, [ST] stbase baseline hazard and survivor functions, [ST] stcox, [ST] stcox PH-assumption tests, [ST] stcrreg baseline suboption, [G] alignmentstyle basis, orthonormal, [P] matrix svd Battese–Coelli parameterization, [XT] xtfrontier Bayes’ theorem, [MV] Glossary Bayesian concepts, [MI] intro substantive Bayesian information criterion, see BIC bcskew0 command, [R] lnskew0 Bentler rotation, [MV] rotate, [MV] rotatemat Bentler’s invariant pattern simplicity rotation, [MV] Glossary Berndt–Hall–Hall–Hausman algorithm, [M-5] moptimize( ), [M-5] optimize( ), [R] ml beta coefficients, [R] gmm, [R] ivregress, [R] nlsur, [R] regress, [R] regress postestimation density, central, [D] functions noncentral, [D] functions distribution, cumulative, [D] functions cumulative noncentral, [D] functions function, [M-5] normal( ) complement to incomplete, [D] functions incomplete, [D] functions inverse cumulative, [D] functions inverse cumulative noncentral, [D] functions inverse reverse cumulative, [D] functions reverse cumulative, [D] functions betaden() function, [D] functions, [M-5] normal( ) between estimators, [XT] Glossary, [XT] xtivreg, [XT] xtreg between-cell means and variances, [XT] xtdescribe, [XT] xtsum between-imputation variability, [MI] mi estimate between matrix, [MV] Glossary BFGS algorithm, see Broyden–Fletcher–Goldfarb– Shanno algorithm bgodfrey, estat subcommand, [R] regress postestimation time series BHHH algorithm, see Berndt–Hall–Hall–Hausman algorithm
Subject index 91 bias corrected and accelerated, [R] bootstrap postestimation BIC, [R] BIC note, [R] estat, [R] estimates stats, [R] glm, [ST] streg, bin() option, [G] graph twoway histogram binary files, writing and reading, [P] file binary I/O, [M-5] bufio( ) binary outcome models, see dichotomous outcome models binary variable imputation, see imputation, binary binomial distribution, confidence intervals, [R] ci cumulative, [D] functions inverse cumulative, [D] functions inverse reverse cumulative, [D] functions reverse cumulative, [D] functions family regression, [R] binreg probability mass function, [D] functions probability test, [R] bitest binomial() function, [D] functions, [M-5] normal( ) binomialp() function, [D] functions, [M-5] normal( ) binomialtail() function, [D] functions, [M-5] normal( ) binormal() function, [D] functions, [M-5] normal( ) binreg command, [R] binreg postestimation, [R] binreg, also see postestimation command bioequivalence tests, [R] pk, [R] pkequiv biopharmaceutical data, see pk (pharmacokinetic data) biplot, [MV] Glossary biplot command, [MV] biplot biplots, [MV] biplot, [MV] ca postestimation biprobit command, [R] biprobit, [R] biprobit postestimation, also see postestimation command biquartimax rotation, [MV] Glossary, [MV] rotate, [MV] rotatemat biquartimin rotation, [MV] Glossary, [MV] rotate, [MV] rotatemat bitest and bitesti commands, [R] bitest bitmap, [G] png options, [G] tif options bivariate normal function, [D] functions bivariate probit regression, [R] biprobit, [SVY] svy estimation biweight regression estimates, [R] rreg biyearly() function, [U] 25 Working with categorical data and factor variables blanks, removing from strings, [D] functions block diagonal covariance, [MV] mvtest covariances block diagonal matrix, [M-5] blockdiag( ) block exogeneity, [TS] vargranger blockdiag() function, [M-5] blockdiag( ) blogit command, [R] glogit, [R] glogit postestimation, also see postestimation command Blundell–Bond estimator, [XT] xtdpd, [XT] xtdpdsys BLUPs, [XT] Glossary bold font, [G] text Bonferroni adjustment, [R] correlate, [R] spearman, [R] test, [R] testnl multiple comparison test, [R] anova postestimation, [R] oneway, [R] regress postestimation bootstrap sampling and estimation, [P] postfile, [R] bootstrap, [R] bsample, [R] bstat, [R] qreg, [R] simulate standard errors, [R] vce option, [XT] vce options bootstrap, estat subcommand, [R] bootstrap postestimation bootstrap prefix command, [R] bootstrap, [R] bootstrap postestimation, also see postestimation command border around plot region, suppressing, [G] region options borders misplacement of, [G] added text options suppressing, [G] linestyle suppressing around plot region, [G] region options Boston College archive, see SSC archive bottom suboption, [G] alignmentstyle boundary solution, [MV] Glossary box, graph subcommand, [G] graph box Box M test, [MV] mvtest covariances box plots, [G] graph box Box–Cox power transformations, [R] lnskew0 regression, [R] boxcox boxcox command, [R] boxcox, [R] boxcox postestimation, also see postestimation command Box’s conservative epsilon, [R] anova bprobit command, [R] glogit, [R] glogit postestimation, also see postestimation command break, [M-2] break break command, [P] break Break key, [U] 9 The Break key, [U] 16.1.4 Error handling in do-files interception, [P] break, [P] capture processing, [M-5] setbreakintr( ) breakkey() function, [M-5] setbreakintr( ) breakkeyreset() function, [M-5] setbreakintr( ) breitung, xtunitroot subcommand, [XT] xtunitroot Breitung test, [XT] xtunitroot Breusch–Godfrey test, [R] regress postestimation time series Breusch–Pagan Lagrange multiplier test, [XT] xtreg postestimation Breusch–Pagan test of independence, [R] mvreg, [R] sureg brier command, [R] brier Brier score decomposition, [R] brier broad type, [M-6] Glossary browse, view subcommand, [R] view browse command, [D] edit Broyden–Fletcher–Goldfarb–Shanno algorithm, [M-5] moptimize( ), [M-5] optimize( ), [R] ml BRR, see balanced repeated replication
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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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Page 40 and 41:
Title format — Quick reference fo
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Title missing values — Quick refe
Page 44 and 45: 40 postestimation commands — Quic
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: Subject index 89 args command, [P]
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
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Subject index 141 proportions, [R]
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Subject index 143 rc built-in varia
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Subject index 145 return, [M-2] ret
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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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