Stata Quick Reference and Index

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114 Subject index generalized, continued negative binomial regression, [R] nbreg, [SVY] svy estimation Schur decomposition, [M-5] gschurd( ) generate, cluster subcommand, [MV] cluster generate icd9 subcommand, [D] icd9 icd9p subcommand, [D] icd9 sts subcommand, [ST] sts generate generate command, [D] generate, [MI] mi passive, [MI] mi xeq; [D] egen generate functions, adding, [MV] cluster programming subroutines generating data, [D] generate; [D] egen variables, [ST] stgen, [ST] sts generate get() matrix function, [D] functions, [P] matrix define, [P] matrix get get, net subcommand, [R] net getting started, [U] 1 Read this — it will help Getting Started with Stata manuals, [U] 1.1 Getting Started with Stata keyword search of, [U] 4 Stata’s help and search facilities gettoken command, [P] gettoken Geweke–Hajivassiliou–Keane multivariate normal simulator, [M-5] ghk( ), [M-5] ghkfast( ) ghalton() function, [M-5] halton( ) ghessenbergd() function, [M-5] ghessenbergd( ) ghessenbergd() function, [M-5] ghessenbergd( ) ghessenbergd la() function, [M-5] ghessenbergd( ) ghk() function, [M-5] ghk( ) ghkfast() function, [M-5] ghkfast( ) ghkfast init() function, [M-5] ghkfast( ) ghkfast init *() function, [M-5] ghkfast( ) ghkfast query *() function, [M-5] ghkfast( ) ghk init() function, [M-5] ghk( ) ghk init *() function, [M-5] ghk( ) ghk query npts() function, [M-5] ghk( ) GJR, [TS] arch gladder command, [R] ladder GLLAMM, [R] gllamm gllamm command, [R] gllamm GLM, [R] binreg, [R] glm, [SVY] svy estimation, [XT] Glossary glm command, [R] glm, [R] glm postestimation, also see postestimation command Global, class prefix operator, [P] class global command, [P] macro, [U] 18.3.2 Global macros, [U] 18.3.10 Advanced global macro manipulation global variable, [M-2] declarations, [M-5] direxternal( ), [M-5] findexternal( ), [M-5] valofexternal( ), [M-6] Glossary glogit command, [R] glogit, [R] glogit postestimation, also see postestimation command glsaccum, matrix subcommand, [P] matrix accum gmm command, [R] gmm, [R] gmm postestimation, also see postestimation command gnbreg command, [R] nbreg, [R] nbreg postestimation, also see postestimation command gof, estat subcommand, [R] logistic postestimation, [R] poisson postestimation Gompertz survival regression, [ST] streg Goodman and Kruskal’s gamma, [R] tabulate twoway goodness-of-fit tests, [R] brier, [R] diagnostic plots, [R] ksmirnov, [R] logistic postestimation, [R] poisson postestimation, [R] regress postestimation, [R] swilk goto, [M-2] goto Gower coefficient similarity measure, [MV] measure option gph files, [G] concept: gph files, [G] graph manipulation describing contents, [G] graph describe .gph files, [U] 11.6 File-naming conventions gprobit command, [R] glogit, [R] glogit postestimation, also see postestimation command gradient option, [R] maximize grammar, [M-2] syntax Granger causality, [TS] Glossary, [TS] vargranger graph bar command, [G] graph bar box command, [G] graph box combine command, [G] graph combine command, [G] graph copy command, [G] graph copy describe, [G] graph describe dir command, [G] graph dir display command, [G] graph display dot command, [G] graph dot; [G] area options, [G] line options drop command, [G] graph drop export command, [G] graph export hbar command, [G] graph bar hbox command, [G] graph box matrix command, [G] graph matrix pie command, [G] graph pie play command, [G] graph play print command, [G] graph print, [G] pr options; [G] graph set query command, [G] graph query rename command, [G] graph rename save command, [G] graph save set command, [G] graph set twoway area command, [G] graph twoway area twoway bar command, [G] graph twoway bar twoway command, [G] graph twoway twoway connected command, [G] graph twoway connected twoway dot command, [G] graph twoway dot twoway dropline command, [G] graph twoway dropline twoway fpfit command, [G] graph twoway fpfit
Subject index 115 graph, continued twoway fpfitci command, [G] graph twoway fpfitci twoway function command, [G] graph twoway function twoway histogram command, [G] graph twoway histogram twoway kdensity command, [G] graph twoway kdensity twoway lfit command, [G] graph twoway lfit twoway lfitci command, [G] graph twoway lfitci twoway line command, [G] graph twoway line twoway lowess command, [G] graph twoway lowess twoway lpoly command, [G] graph twoway lpoly twoway lpolyci command, [G] graph twoway lpolyci twoway mband command, [G] graph twoway mband twoway mspline command, [G] graph twoway mspline twoway pcarrow command, [G] graph twoway pcarrow twoway pcarrowi command, [G] graph twoway pcarrowi twoway pcbarrow command, [G] graph twoway pcarrow twoway pccapsym command, [G] graph twoway pccapsym twoway pci command, [G] graph twoway pci twoway pcscatter command, [G] graph twoway pcscatter twoway pcspike command, [G] graph twoway pcspike twoway qfit command, [G] graph twoway qfit twoway qfitci command, [G] graph twoway qfitci twoway rarea command, [G] graph twoway rarea twoway rbar command, [G] graph twoway rbar twoway rcap command, [G] graph twoway rcap twoway rcapsym command, [G] graph twoway rcapsym twoway rconnected command, [G] graph twoway rconnected twoway rline command, [G] graph twoway rline twoway rscatter command, [G] graph twoway rscatter twoway rspike command, [G] graph twoway rspike twoway scatter command, [G] graph twoway scatter twoway scatteri command, [G] graph twoway scatteri twoway spike command, [G] graph twoway spike twoway tsline command, [G] graph twoway tsline twoway tsrline command, [G] graph twoway tsline use command, [G] graph use graph, adjusted Kaplan–Meier survivor curves, [ST] sts baseline hazard and survivor, [ST] stcox, [ST] sts cumulative hazard function, [ST] stcurve, [ST] sts graph hazard function, [ST] ltable, [ST] stcurve, [ST] sts graph Kaplan–Meier survivor curves, [ST] stcox PHassumption tests, [ST] sts log-log curve, [ST] stcox PH-assumption tests survivor function, [ST] stcurve, [ST] sts graph graph, fcast subcommand, [TS] fcast graph irf subcommand, [TS] irf graph ml subcommand, [R] ml sts subcommand, [ST] sts graph Graph Editor, [G] graph editor graph region, [G] region options graph text, [G] text graphical user interface, [P] dialog programming graphics, set subcommand, [G] set graphics, [R] set graphregion() option, [G] region options graphs, added-variable plot, [R] regress postestimation adjusted partial residual plot, [R] regress postestimation augmented component-plus-residual plot, [R] regress postestimation augmented partial residual plot, [R] regress postestimation autocorrelations, [TS] corrgram binary variable cumulative sum, [R] cusum biplot, [MV] biplot, [MV] ca postestimation CA dimension projection, [MV] ca postestimation cluster tree, [MV] cluster dendrogram component-plus-residual, [R] regress postestimation correlogram, [TS] corrgram cross-correlogram, [TS] xcorr cross-sectional time-series data, [XT] xtdata, [XT] xtline cumulative distribution, [R] cumul cumulative spectral density, [TS] cumsp dendrogram, [MV] cluster dendrogram density, [R] kdensity density-distribution sunflower, [R] sunflower derivatives, [R] dydx, [R] testnl describing contents, [G] graph describe diagnostic, [R] diagnostic plots dotplot, [R] dotplot eigenvalue after factor, [MV] screeplot after pca, [MV] screeplot error-bar charts, [R] serrbar forecasts, [TS] fcast graph fractional polynomial, [R] fracpoly functions, [D] obs, [D] range histograms, [R] histogram, [R] kdensity
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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
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 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: Subject index 113 fsave, window sub
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
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
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Subject index 165 weights, continue
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