Stata Quick Reference and Index

More documents

Recommendations

Info

146 Subject index robust, other methods of, [R] qreg, [R] rreg, [R] smooth robust command, [P] robust robust regression, [R] regress, [R] rreg, also see robust, Huber/White/sandwich estimator of variance robust standard errors, [XT] Glossary robust test for equality of variance, [R] sdtest robvar command, [R] sdtest ROC analysis, [G] graph other, [R] logistic postestimation, [R] roc, [R] rocfit, [R] rocfit postestimation roccomp command, [R] roc rocfit command, [R] rocfit, [R] rocfit postestimation, also see postestimation command rocgold command, [R] roc rocplot command, [R] rocfit postestimation roctab command, [R] roc Rogers and Tanimoto similarity measure, [MV] measure option roh, [R] loneway rolling command, [TS] rolling rolling regression, [TS] Glossary, [TS] rolling rologit command, [R] rologit, [R] rologit postestimation, also see postestimation command rootograms, [G] graph other, [R] spikeplot roots of polynomials, [M-5] polyeval( ) rotate, estat subcommand, [MV] canon postestimation rotate command, [MV] factor postestimation, [MV] pca postestimation, [MV] rotate, [MV] rotatemat rotatecompare, estat subcommand, [MV] canon postestimation, [MV] factor postestimation, [MV] pca postestimation rotated factor loadings, [MV] factor postestimation principal components, [MV] pca postestimation rotation, [MV] factor postestimation, [MV] Glossary, [MV] pca postestimation, [MV] rotate, [MV] rotatemat procrustes, [MV] procrustes toward a target, [MV] procrustes, [MV] rotate, [MV] rotatemat round() rounding function, [D] functions, [M-5] trunc( ) roundoff error, [U] 13.11 Precision and problems therein; [M-5] epsilon( ), [M-5] edittozero( ), [M-5] edittoint( ) row-join operator, [M-2] op join row of matrix, selecting, [M-5] select( ) row operators for data, [D] egen roweq, matrix subcommand, [P] matrix rownames roweq macro extended function, [P] macro rowfirst(), egen function, [D] egen rowfullnames macro extended function, [P] macro rowlast(), egen function, [D] egen row-major order, [M-6] Glossary rowmax(), egen function, [D] egen rowmax() function, [M-5] minmax( ) rowmaxabs() function, [M-5] minmax( ) rowmean(), egen function, [D] egen rowmedian(), egen function, [D] egen rowmin(), egen function, [D] egen rowmin() function, [M-5] minmax( ) rowminmax() function, [M-5] minmax( ) rowmiss(), egen function, [D] egen rowmissing() function, [M-5] missing( ) rownames, matrix subcommand, [P] matrix rownames rownames macro extended function, [P] macro rownonmiss(), egen function, [D] egen rownonmissing() function, [M-5] missing( ) rownumb() matrix function, [D] functions, [P] matrix define rowpctile(), egen function, [D] egen rows() function, [M-5] rows( ) rows of matrix appending to, [P] matrix define names, [P] ereturn, [P] matrix define, [P] matrix rownames operators, [P] matrix define rowscalefactors() function, [M-5] equilrc( ) rowsd(), egen function, [D] egen rowshape() function, [M-5] rowshape( ) rowsof() matrix function, [D] functions, [P] matrix define rowsum() function, [M-5] sum( ) rowtotal(), egen function, [D] egen rowvector, [M-2] declarations, [M-6] Glossary Roy’s largest root test, [MV] canon, [MV] Glossary, [MV] manova, [MV] mvtest means union-intersection test, [MV] canon, [MV] manova, [MV] mvtest means rpoisson() function, [D] functions, [M-5] runiform( ) rreg command, [R] rreg postestimation, [R] rreg, also see postestimation command rscatter, graph twoway subcommand, [G] graph twoway rscatter rseed() function, [D] functions, [M-5] runiform( ) rspike, graph twoway subcommand, [G] graph twoway rspike rt() function, [D] functions, [M-5] runiform( ) rtrim() string function, [D] functions Rubin’s combination rules, [MI] mi estimate, [MI] mi estimate using run command, [R] do, [U] 16 Do-files runiform() function, [D] functions, [M-5] runiform( ), [R] set seed runningsum() function, [M-5] runningsum( ) runningsum() function, [M-5] runningsum( ) runtest command, [R] runtest Russell and Rao coefficient similarity measure, [MV] measure option rvalue, class, [P] class rvfplot command, [R] regress postestimation
Subject index 147 RVI, see relative variance increase rvpplot command, [R] regress postestimation S s() function, [D] functions saved results, [D] functions, [P] return, [R] saved results, [U] 18.8 Accessing results calculated by other programs, [U] 18.10.3 Saving results in s() s(macros) macro extended function, [P] macro s1color scheme, [G] scheme s1 s1manual scheme, [G] scheme s1 s1mono scheme, [G] scheme s1 s1rcolor scheme, [G] scheme s1 S macros, [R] saved results s2color scheme, [G] scheme s2 s2gmanual scheme, [G] scheme s2 s2manual scheme, [G] scheme s2 s2mono scheme, [G] scheme s2 SAARCH, [TS] arch Sammon mapping criterion, [MV] Glossary sample, random, see random sample sample command, [D] sample sample size, [R] sampsi Cox proportional hazards regression, [ST] stpower, [ST] stpower cox exponential survival, [ST] stpower, [ST] stpower exponential exponential test, [ST] stpower, [ST] stpower exponential log-rank, [ST] stpower, [ST] stpower logrank sampling, [D] sample, [R] bootstrap, [R] bsample, [SVY] Glossary, [SVY] survey, [SVY] svydescribe, [SVY] svyset, also see cluster sampling stage, [SVY] Glossary unit, [SVY] Glossary weight, [SVY] Glossary, [SVY] survey, [U] 11.1.6 weight, [U] 20.18.3 Sampling weights, with and without replacement, [SVY] Glossary sampsi command, [R] sampsi sandwich/Huber/White estimator of variance, see robust, Huber/White/sandwich estimator of variance, sargan, estat subcommand, [XT] xtabond postestimation, [XT] xtdpd postestimation, [XT] xtdpdsys postestimation Sargan test, [XT] xtabond postestimation, [XT] xtdpd postestimation, [XT] xtdpdsys postestimation SAS, reading data from, [U] 21.4 Transfer programs SAS XPORT, [D] fdasave save, estimates subcommand, [R] estimates save graph subcommand, [G] graph save label subcommand, [D] label snapshot subcommand, [D] snapshot save estimation results, [P] ereturn, [P] estimates save command, [D] save saved results, [P] return, [P] return, [R] saved results, [U] 18.8 Accessing results calculated by other programs, [U] 18.9 Accessing results calculated by estimation commands, [U] 18.10 Saving results saveold command, [D] save saving() option, [G] saving option saving data, [D] outfile, [D] outsheet, [D] save, [D] snapshot saving results, [R] estimates save; [P] ereturn, [P] estimates, [P] postfile, [P] return, [P] return scalar, confirm subcommand, [P] confirm ereturn subcommand, [P] ereturn return subcommand, [P] return scalar, [M-2] declarations, [M-6] Glossary scalar() function, [D] functions scalars, [P] scalar namespace and conflicts, [P] matrix, [P] matrix define scale() option, [G] scale option scalar command and scalar() pseudofunction, [P] scalar scalar functions, [M-4] scalar scale, log, [G] axis scale options range of, [G] axis scale options reversed, [G] axis scale options scaling, [MV] mds, [MV] mds postestimation, [MV] mdslong, [MV] mdsmat scatter, graph twoway subcommand, [G] graph twoway scatter scatteri, graph twoway subcommand, [G] graph twoway scatteri scatterplot matrices, [G] graph matrix Scheffé multiple comparison test, [R] oneway scheme() option, [G] scheme option scheme, set subcommand, [G] set scheme, [R] set schemes, [G] play option, [G] schemes intro; [G] scheme economist, [G] scheme s1, [G] scheme s2, [G] scheme sj, [G] scheme option, [G] set scheme changing, [G] graph display creating your own, [G] schemes intro default, [G] set scheme Schoenfeld residual, [ST] stcox postestimation, [ST] streg postestimation Schur decomposition, [M-5] schurd( ), [M-6] Glossary form, [M-6] Glossary schurd() function, [M-5] schurd( ) schurd() function, [M-5] schurd( ) schurdgroupby() function, [M-5] schurd( ) schurdgroupby() function, [M-5] schurd( ) schurdgroupby la() function, [M-5] schurd( )
Page 1 and 2:
STATA QUICK REFERENCE AND INDEX REL
Page 3:
i Table of contents Combined subjec
Page 6 and 7:
2 Inputting and saving data [GS] Ch
Page 8 and 9:
4 [D] changeeol . . . . . . . . . .
Page 10 and 11:
6 [R] estimates title . . . . . . .
Page 12 and 13:
8 [G] graph twoway lowess . . . . .
Page 14 and 15:
10 Graph schemes [G] schemes intro
Page 16 and 17:
12 [MV] clustermat . . . . . . . .
Page 18 and 19:
14 [MV] scoreplot . . . . . . . . .
Page 20 and 21:
16 [R] mprobit . . . . . . . . . .
Page 22 and 23:
18 Nonparametric statistics [R] kde
Page 24 and 25:
20 [R] predict . . . . . . . . . .
Page 26 and 27:
22 [TS] tsreport . . . . . . . . .
Page 28 and 29:
24 [P] fvexpand . . . . . . . . . .
Page 30 and 31:
26 Mata [M] Mata Reference Manual .
Page 32 and 33:
Title estimation commands — Quick
Page 34 and 35:
30 estimation commands — Quick re
Page 36 and 37:
Page 38 and 39:
Page 40 and 41:
Title format — Quick reference fo
Page 42 and 43:
Title missing values — Quick refe
Page 44 and 45:
40 postestimation commands — Quic
Page 46 and 47:
Page 48 and 49:
Page 50 and 51:
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 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 and 148: Subject index 143 rc built-in varia
Page 149: Subject index 145 return, [M-2] ret
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
show all

Stata Quick Reference and Index

Create successful ePaper yourself

Delete template?

Save as template?