Stata Quick Reference and Index

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118 Subject index histograms, continued of categorical variables, [R] histogram stem-and-leaf, [R] stem histories, [G] by option, [G] graph bar, [G] graph box, [G] graph matrix, [G] graph pie, [G] graph twoway histogram hms() function, [D] dates and times, [D] functions, [M-5] date( ) hofd() function, [D] dates and times, [D] functions, [M-5] date( ) hold, estimates subcommand, [P] estimates return subcommand, [P] return Holm adjustment, [R] test Holt–Winters smoothing, [TS] Glossary, [TS] tssmooth, [TS] tssmooth dexponential, [TS] tssmooth exponential, [TS] tssmooth hwinters, [TS] tssmooth shwinters home resale-price data, [MI] mi estimate, [MI] mi estimate postestimation, [MI] mi estimate using homogeneity of variances, [R] oneway, [R] sdtest homogeneity test, [ST] epitab homoskedasticity tests, [R] regress postestimation Horst normalization, see Kaiser normalization Hosmer–Lemeshow goodness-of-fit test, [R] logistic postestimation hot, ssc subcommand, [R] ssc hotelling command, [MV] hotelling Hotelling’s generalized T -squared statistic, [MV] manova T -squared, [MV] Glossary, [MV] hotelling, [MV] mvtest means hours() function, [D] dates and times, [D] functions, [M-5] date( ) hqrd() function, [M-5] qrd( ) hqrd() function, [M-5] qrd( ) hqrdmultq() function, [M-5] qrd( ) hqrdmultq1t() function, [M-5] qrd( ) hqrdp() function, [M-5] qrd( ) hqrdp() function, [M-5] qrd( ) hqrdp la() function, [M-5] qrd( ) hqrdq() function, [M-5] qrd( ) hqrdq1() function, [M-5] qrd( ) hqrdr() function, [M-5] qrd( ) hqrdr1() function, [M-5] qrd( ) hsearch command, [R] hsearch, [U] 4 Stata’s help and search facilities ht, xtunitroot subcommand, [XT] xtunitroot http://www.stata.com, [U] 3.2 The Stata web site (www.stata.com) httpproxy, set subcommand, [R] netio, [R] set httpproxyauth, set subcommand, [R] netio, [R] set httpproxyhost, set subcommand, [R] netio, [R] set httpproxyport, set subcommand, [R] netio, [R] set httpproxypw, set subcommand, [R] netio, [R] set httpproxyuser, set subcommand, [R] netio, [R] set Huber weighting, [R] rreg Huber/White/sandwich estimator of variance, [SVY] variance estimation Huynh–Feldt epsilon, [R] anova hwinters, tssmooth subcommand, [TS] tssmooth hwinters hyperbolic functions, [M-5] sin( ) hypergeometric() function, [D] functions, [M-5] normal( ) hypergeometric, cumulative distribution, [D] functions probability mass function, [D] functions hypergeometricp() function, [D] functions, [M-5] normal( ) hypertext help, [R] help, [U] 4 Stata’s help and search facilities, [U] 18.11.6 Writing online help hypothesis tests, see tests I I() function, [D] functions, [M-5] I( ), [P] matrix define ibeta() function, [D] functions, [M-5] normal( ) ibetatail() function, [D] functions, [M-5] normal( ) ic, estat subcommand, [R] estat icd9 check command, [D] icd9 clean command, [D] icd9 generate command, [D] icd9 lookup command, [D] icd9 query command, [D] icd9 search command, [D] icd9 icd9p check command, [D] icd9 clean command, [D] icd9 generate command, [D] icd9 lookup command, [D] icd9 query command, [D] icd9 search command, [D] icd9 ice command, [MI] mi export ice, [MI] mi import ice ID variable, [ST] Glossary identifier, class, [P] class identifier, unique, [D] isid identity matrix, [M-5] I( ), [P] matrix define idiosyncratic error term, [XT] Glossary if exp, [M-2] if, [P] syntax, [U] 11 Language syntax if programming command, [P] if ignorable missing-data mechanism, [MI] intro substantive IIA, [R] asclogit, [R] asmprobit, [R] clogit, [R] hausman, [R] nlogit Im() function, [M-5] Re( ) imaginary part, [M-5] Re( ) immediate commands, [I] immediate commands, [I] prefix commands, [P] display, [R] bitest, [R] ci, [R] prtest, [R] sampsi, [R] sdtest, [R] symmetry, [R] tabulate twoway, [R] ttest, [U] 19 Immediate commands; [U] 18.4.5 Parsing immediate commands
Subject index 119 Im–Pesaran–Shin test, [XT] xtunitroot implied context, class, [P] class import, mi subcommand, [MI] mi import, [MI] mi import flong, [MI] mi import flongsep, [MI] mi import ice, [MI] mi import nhanes1, [MI] mi import wide importance weights, [U] 11.1.6 weight, [U] 20.18.4 Importance weights importing data, [D] fdasave, [D] infile, [D] infile (fixed format), [D] infile (free format), [D] infix (fixed format), [D] insheet, [D] odbc, [D] xmlsave [MI] mi import, [MI] mi import flong, [MI] mi import flongsep, [MI] mi import ice, [MI] mi import nhanes1, [MI] mi import wide, [U] 21.4 Transfer programs; impulse–response functions, see IRF imputation, binary, [MI] mi impute logit categorical, [MI] mi impute mlogit, [MI] mi impute ologit continuous, [MI] mi impute pmm, [MI] mi impute regress linear regression, [MI] mi impute regress logistic regression, [MI] mi impute logit modeling, [MI] mi impute monotone, [MI] mi impute, [MI] mi impute monotone multinomial logistic regression, [MI] mi impute mlogit multiple, [MI] intro substantive multivariate, [MI] mi impute monotone, [MI] mi impute mvn multivariate monotone, [MI] mi impute, [MI] mi impute logit, [MI] mi impute mlogit, [MI] mi impute ologit, [MI] mi impute pmm, [MI] mi impute regress multivariate normal, [MI] mi impute mvn on subsamples, [MI] mi impute ordered logistic regression, [MI] mi impute ologit passive variables, [MI] mi impute regress predictive mean matching, [MI] mi impute, [MI] mi impute pmm regression, [MI] mi impute, [MI] mi impute regress semiparameteric, [MI] mi impute pmm step, [MI] intro substantive, [MI] mi estimate transformations, [MI] mi impute univariate, [MI] mi impute logit, [MI] mi impute mlogit, [MI] mi impute ologit, [MI] mi impute pmm, [MI] mi impute regress imputation method, [MI] mi impute, [MI] mi impute logit, [MI] mi impute mlogit, [MI] mi impute ologit, [MI] mi impute pmm, [MI] mi impute regress proper, [MI] intro substantive, [MI] mi impute monotone, [MI] mi impute mvn imputations, recommended number of, [MI] intro substantive impute, mi subcommand, [MI] mi impute, [MI] mi impute logit, [MI] mi impute mlogit, [MI] mi impute monotone, [MI] mi impute mvn, [MI] mi impute ologit, [MI] mi impute pmm, [MI] mi impute regress, imputed variables, see variables, imputed imtest, estat subcommand, [R] regress postestimation in range modifier, [P] syntax, [U] 11 Language syntax in smcl, display directive, [P] display inbase() function, [M-5] inbase( ) incidence, [ST] Glossary incidence-rate ratio, [R] poisson, [R] zip, [ST] epitab, [ST] stci, [ST] stir, [ST] stptime, [ST] stsum differences, [R] lincom, [R] nlcom incidence-rate ratio and rate ratio, [SVY] svy estimation, [XT] xtgee, [XT] xtnbreg, [XT] xtpoisson incidence studies, [ST] Glossary include command, [P] include income distributions, [R] inequality income tax rate function, [D] egen incomplete beta function, [D] functions, [M-5] normal( ) gamma function, [D] functions, [M-5] normal( ) observations, [MI] Glossary increment operator, [M-2] op increment independence of irrelevant alternatives, see IIA independence tests, see tests independent and identically distributed, [TS] Glossary index, mathematical functions, [M-4] statistical matrix functions, [M-4] utility statistical functions, [M-4] statistical stopping rules, see stopping rules utility functions, [M-4] utility index of probit and logit, [R] logit postestimation, [R] predict, [R] probit postestimation index search, [R] search, [U] 4 Stata’s help and search facilities indexnot() function, [D] functions, [M-5] indexnot( ) indicator variables, [R] anova, [R] areg, [R] xi indicators, [U] 11.4.3 Factor variables indirect standardization, [R] dstdize ineligible missing values, [MI] Glossary inequality measures, [R] inequality inertia, [MV] Glossary inertia, estat subcommand, [MV] ca postestimation infile command, [D] infile (fixed format), [D] infile (free format); [D] infile infix command, [D] infix (fixed format); [D] infile influence statistics, [R] logistic postestimation, [R] predict, [R] regress postestimation %infmt, [D] infile (fixed format) information criteria, see AIC, BIC matrix, [P] matrix get, [R] correlate, [R] maximize matrix test, [R] regress postestimation
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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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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]
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 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: Subject index 117 Harrell’s C, [S
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
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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