Stata Quick Reference and Index

More documents

Recommendations

Info

132 Subject index month() function, [D] dates and times, [D] functions, [M-5] date( ), [U] 24.5 Extracting components of dates and times monthly() function, [D] dates and times, [D] functions, [M-5] date( ) Moore–Penrose inverse, [M-5] pinv( ) moptimize() function, [M-5] moptimize( ) moptimize() function, [M-5] moptimize( ) moptimize ado cleanup() function, [M-5] moptimize( ) moptimize evaluate() function, [M-5] moptimize( ) moptimize evaluate() function, [M-5] moptimize( ) moptimize init *() functions, [M-5] moptimize( ) moptimize query() function, [M-5] moptimize( ) moptimize result *() functions, [M-5] moptimize( ) moptimize util *() functions, [M-5] moptimize( ) more() function, [M-5] more( ) more, set subcommand, [R] more, [R] set more command and parameter, [P] macro, [P] more, [R] more, [U] 7 –more– conditions more condition, [R] query, [U] 7 –more– conditions, [U] 16.1.6 Preventing –more– conditions mortality table, see life tables mosave, [M-3] mata mosave moving average, [TS] arch, [TS] arima, [TS] Glossary, [TS] tssmooth, [TS] tssmooth ma mprobit command, [R] mprobit mreldif() function, [D] functions, [M-5] reldif( ), [P] matrix define mreldifre() function, [M-5] reldif( ) mreldifsym() function, [M-5] reldif( ) msize() option, [G] marker options, [G] rcap options msofhours() function, [D] dates and times, [D] functions, [M-5] date( ) msofminutes() function, [D] dates and times, [D] functions, [M-5] date( ) msofseconds() function, [D] dates and times, [D] functions, [M-5] date( ) mspline, graph twoway subcommand, [G] graph twoway mspline mstyle() option, [G] marker options msymbol() option, [G] marker options mtr(), egen function, [D] egen multiarm trial, [ST] Glossary, [ST] stpower multidimensional scaling, [MV] Glossary, [MV] mds, [MV] mds postestimation, [MV] mdslong, [MV] mdsmat multilevel models, [R] gllamm, [XT] xtmelogit, [XT] xtmepoisson, [XT] xtmixed multinomial logistic regression, [SVY] svy estimation multinomial logistic regression, imputation, see imputation, multinomial logistic regression multinomial outcome model, [R] asclogit, [R] asmprobit, [R] asroprobit, [R] clogit, [R] mlogit, [R] mprobit, [R] nlogit, [R] slogit, also see polytomous outcome model multinomial probit regression, [SVY] svy estimation multiple comparison tests, [R] oneway correspondence analysis, [MV] Glossary languages, [D] label language regression, see linear regression testing, [R] regress postestimation, [R] test, [R] testnl multiple imputation, [MI] intro, [MI] intro substantive, [MI] styles, [MI] workflow analysis step, [MI] intro substantive, [MI] mi estimate, [MI] mi estimate postestimation, [MI] mi estimate using estimation, [MI] estimation imputation step, [MI] intro substantive, [MI] mi impute inference, [MI] intro substantive pooling step, [MI] intro substantive, [MI] mi estimate, [MI] mi estimate using theory, [MI] intro substantive multiple-record st data, [ST] stfill, [ST] stvary multiplication, [M-2] op arith, [M-2] op colon multiplication operator, see arithmetic operators multiplicative heteroskedasticity, [TS] arch multistage clustered sampling, [SVY] survey, [SVY] svydescribe, [SVY] svyset multivariable fractional polynomial regression, [R] mfp multivariate analysis, [MV] canon, [MV] hotelling, [MV] mvtest, [U] 26.21 Multivariate and cluster analysis bivariate probit, [R] biprobit of covariance, [MV] manova of variance, [MV] manova regression, [R] mvreg three-stage least squares, [R] reg3 Zellner’s seemingly unrelated, [R] nlsur, [R] sureg multivariate ARCH, [TS] dvech postestimation multivariate Behrens–Fisher problem, [MV] mvtest means multivariate GARCH, [TS] dvech [TS] dvech postestimation, multivariate imputation, see imputation, multivariate multivariate kurtosis, [MV] mvtest normality multivariate logistic variable imputation, see imputation, multivariate logistic multivariate normal, [MV] mvtest normality multivariate normal imputation, see imputation, multivariate normal multivariate normal simulator, [M-5] ghk( ), [M-5] ghkfast( ) multivariate regression, [MV] Glossary multivariate regression imputation, see imputation, multivariate multivariate skewness, [MV] mvtest normality multivariate time series, [TS] dfactor, [TS] dvech, [TS] sspace, [TS] var, [TS] var intro, [TS] var svar, [TS] varbasic, [TS] vec, [TS] vec intro, [TS] xcorr
Subject index 133 mvdecode command, [D] mvencode mvencode command, [D] mvencode MVN imputation, see imputation, multivariate normal mvreg, estat subcommand, [MV] procrustes postestimation mvreg command, [R] mvreg, [R] mvreg postestimation, also see postestimation command mvtest command, [MV] mvtest correlations command, [MV] mvtest correlations covariances command, [MV] mvtest covariances means command, [MV] mvtest means normality command, [MV] mvtest normality N n and N built-in variables, [U] 13.4 System variables ( variables), [U] 13.7 Explicit subscripting name() option, [G] name option nameexternal() function, [M-5] findexternal( ) namelists, [M-3] namelists names, [U] 11.3 Naming conventions conflicts, [P] matrix, [P] matrix define, [P] scalar matrix row and columns, [P] ereturn, [P] matrix define, [P] matrix rownames names, confirm subcommand, [P] confirm namespace and conflicts, matrices and scalars, [P] matrix, [P] matrix define naming convention, [M-1] naming variables, [D] rename NARCH, [TS] arch NARCHK, [TS] arch natural log function, [D] functions splines, [R] mkspline nbetaden() function, [D] functions, [M-5] normal( ) nbinomial() function, [D] functions, [M-5] normal( ) nbinomialp() function, [D] functions, [M-5] normal( ) nbinomialtail() function, [D] functions, [M-5] normal( ) nbreg command, [R] nbreg postestimation, [R] nbreg, also see postestimation command nchi2() function, [D] functions, [M-5] normal( ) n-class command, [P] program, [P] return ndots() option, [G] graph twoway dot nearest neighbor, [MI] mi impute pmm, [MV] discrim knn, [MV] Glossary needle plot, [R] spikeplot negate() function, [M-5] negate( ) negation, [M-2] op arith, [M-5] negate( ) negation operator, see arithmetic operators negative binomial distribution, cumulative, [D] functions inverse cumulative, [D] functions negative binomial, distribution, continued inverse reverse cumulative, [D] functions reverse cumulative, [D] functions probability mass function, [D] functions regression, [R] nbreg, [SVY] svy estimation; [R] glm fixed-effects, [XT] xtnbreg model, [XT] Glossary population-averaged, [XT] xtnbreg; [XT] xtgee postestimation, [XT] xtnbreg postestimation random-effects, [XT] xtnbreg zero-inflated, [R] zinb zero-truncated, [R] ztnb Nelder–Mead method, [M-5] moptimize( ), [M-5] optimize( ) Nelson–Aalen cumulative hazard, [ST] sts, [ST] sts generate, [ST] sts graph, [ST] sts list nested, misstable subcommand, [R] misstable nested case–control data, [ST] sttocc designs, [MV] manova, [R] anova effects, [MV] manova, [R] anova logit, [R] nlogit model statistics, [R] nestreg regression, [R] nestreg nestreg prefix command, [R] nestreg net, view subcommand, [R] view net cd command, [R] net describe command, [R] net from command, [R] net get command, [R] net install command, [R] net link command, [R] net query command, [R] net search command, [R] net search set ado command, [R] net set other command, [R] net sj command, [R] net stb command, [R] net NetCourseNow, [U] 3.7.1 NetCourses NetCourses, [U] 3.7.1 NetCourses net d, view subcommand, [R] view new() class function, [M-2] class new, ssc subcommand, [R] ssc .new built-in class function, [P] class new lines, data without, [D] infile (fixed format) newey command, [TS] newey, [TS] newey postestimation Newey–West covariance matrix, [TS] Glossary postestimation, [TS] newey postestimation regression, [TS] newey standard errors, [P] matrix accum, [R] glm newline(#), display directive, [P] display news, view subcommand, [R] view news command, [R] news
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: Subject index 131 missing data, [MI
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
show all

Stata Quick Reference and Index

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?