Stata Quick Reference and Index

More documents

Recommendations

Info

112 Subject index flongsep data style, [MI] Glossary, [MI] mi xeq, [MI] styles estimating memory requirements, [MI] mi convert style, [MI] mi copy, [MI] mi erase technical description, [MI] technical floor() function, [D] functions, [M-5] trunc( ) flopin function, [M-5] lapack( ) flopout function, [M-5] lapack( ) FMI, see fraction missing information %fmts, [D] format, [U] 12.5 Formats: Controlling how data are displayed fmtwidth() function, [D] functions, [M-5] fmtwidth( ) folders, see directories follow-up period, [ST] Glossary follow-up studies, see incidence studies fonts, in graphs, [G] text footnote, ml subcommand, [R] ml fopen() function, [M-5] fopen( ) fopen() function, [M-5] fopen( ) fopen, window subcommand, [P] window programming for, [M-2] break, [M-2] continue, [M-2] for, [M-2] semicolons for, estimates subcommand, [R] estimates for foreach command, [P] foreach forecast, see forecasting standard error of, [R] predict, [R] regress postestimation forecast-error variance decomposition, see FEVD forecast-error variance decompositions (FEVD), [G] graph other forecasting, [G] graph other, [TS] arch, [TS] arima, [TS] dfactor postestimation, [TS] dvech postestimation, [TS] fcast compute, [TS] fcast graph, [TS] irf create, [TS] sspace postestimation, [TS] tsappend, [TS] tssmooth, [TS] tssmooth dexponential, [TS] tssmooth exponential, [TS] tssmooth hwinters, [TS] tssmooth ma, [TS] tssmooth shwinters, [TS] var, [TS] var intro, [TS] vec, [TS] vec intro foreground color, [G] schemes intro format, confirm subcommand, [P] confirm format command, [D] format format macro extended function, [P] macro format width, [M-5] fmtwidth( ) formating, setting, [D] varmanage formats, [D] dates and times, [D] describe, [D] format, [U] 12.5 Formats: Controlling how data are displayed; [U] 24.3 Displaying dates and times formatted data, reading, [U] 21 Inputting data; [D] infile, [D] infile (fixed format), [D] infile (free format), [D] infix (fixed format), [D] insheet formatting contents of macros, [P] macro formatting statistical output, [D] format FORTRAN, [M-2] goto, [M-5] dsign( ) forvalues command, [P] forvalues forward operator, [TS] Glossary fourfold tables, [ST] epitab Fourier transform, [M-5] fft( ) FoxPro, reading data from, [U] 21.4 Transfer programs FPC, [SVY] Glossary, [SVY] survey, [SVY] svy estimation, [SVY] svyset, [SVY] variance estimation fpfit, graph twoway subcommand, [G] graph twoway fpfit fpfitci, graph twoway subcommand, [G] graph twoway fpfitci fput() function, [M-5] fopen( ) fput() function, [M-5] fopen( ) fputmatrix() function, [M-5] fopen( ) fputmatrix() function, [M-5] fopen( ) fracgen command, [R] fracpoly fracplot command, [R] fracpoly postestimation fracpoly prefix command, [R] fracpoly, [R] fracpoly postestimation, also see postestimation command fracpred command, [R] fracpoly postestimation fraction defective, [R] qc fraction missing information, [MI] Glossary, [MI] mi estimate, [MI] mi estimate postestimation fraction option, [G] graph twoway histogram fractional polynomial regression, [R] fracpoly multivariable, [R] mfp frailty, [ST] Glossary frailty model, [ST] streg; [ST] stcox, [ST] stcurve fread() function, [M-5] fopen( ) fread() function, [M-5] fopen( ) frequencies, creating dataset of, [D] collapse, [D] contract graphical representation, [R] histogram, [R] kdensity table of, [R] table, [R] tabstat, [R] tabulate oneway, [R] tabulate, summarize(), [R] tabulate twoway, [SVY] svy: tabulate oneway, [SVY] svy: tabulate twoway frequency option, [G] graph twoway histogram frequency table, [XT] xttab frequency weights, [U] 11.1.6 weight, [U] 20.18.1 Frequency weights frequency-domain analysis, [TS] cumsp, [TS] Glossary, [TS] pergram [frequency=exp] modifier, [U] 11.1.6 weight, [U] 20.18.1 Frequency weights frequentist concepts, [MI] intro substantive freturncode() function, [M-5] ferrortext( ) from() option, [R] maximize from, net subcommand, [R] net update subcommand, [R] update frombase() function, [M-5] inbase( ) frontier command, [R] frontier, [R] frontier postestimation, also see postestimation command frontier model, stochastic, [XT] xtfrontier frontier models, [R] frontier
Subject index 113 fsave, window subcommand, [P] window programming fseek() function, [M-5] fopen( ) fseek() function, [M-5] fopen( ) fstatus() function, [M-5] fopen( ) Ftail() function, [D] functions, [M-5] normal( ) ftell() function, [M-5] fopen( ) ftell() function, [M-5] fopen( ) ftfreqs() function, [M-5] fft( ) ftpad() function, [M-5] fft( ) ftperiodogram() function, [M-5] fft( ) ftretime() function, [M-5] fft( ) ftruncate() function, [M-5] fopen( ) ftruncate() function, [M-5] fopen( ) ftunwrap() function, [M-5] fft( ) ftwrap() function, [M-5] fft( ) full factorial, [U] 11.4.3 Factor variables fullsdiag() function, [M-5] fullsvd( ) fullsvd() function, [M-5] fullsvd( ) fullsvd() function, [M-5] fullsvd( ) fully factorial, [R] margins function, [M-2] declarations, [M-6] Glossary function, graph twoway subcommand, [G] graph twoway function function arguments, [M-1] returnedargs, also see arguments function naming convention, [M-1] naming functions, [D] functions, [U] 13.3 Functions adding, [MV] cluster programming subroutines aggregate, [D] egen combinatorial, [D] functions creating dataset of, [D] collapse, [D] obs date, [U] 24.5 Extracting components of dates and times date and time, [D] functions extended macro, [P] char, [P] display, [P] macro, [P] macro lists, [P] serset graphing, [D] range, [G] graph twoway function link, [R] glm mathematical, [D] functions matrix, [D] functions, [P] matrix define, [U] 14.8 Matrix functions passing to functions, [M-2] ftof piecewise cubic, [R] mkspline piecewise linear, [R] mkspline programming, [D] functions random number, [D] generate statistical, [D] functions string, [D] functions time-series, [D] functions underscore, [M-6] Glossary future history, [ST] Glossary, [ST] stset fvexpand command, [P] fvexpand fvrevar command, [R] fvrevar fvset, mi subcommand, [MI] mi XXXset fvset command, [R] fvset fvset command for mi data, [MI] mi XXXset fvunab command, [P] unab [fweight=exp] modifier, [U] 11.1.6 weight, [U] 20.18.1 Frequency weights fwrite() function, [M-5] fopen( ) fwrite() function, [M-5] fopen( ) fxsize() option, [G] graph combine fysize() option, [G] graph combine G g2 inverse of matrix, [P] matrix define, [P] matrix svd gamma density function, [D] functions incomplete, [D] functions distribution cumulative, [D] functions inverse cumulative, [D] functions inverse reverse cumulative, [D] functions reverse cumulative, [D] functions gamma() function, [M-5] factorial( ) gammaden() function, [D] functions, [M-5] normal( ) gammap() function, [D] functions, [M-5] normal( ) gammaptail() function, [D] functions, [M-5] normal( ) gap() option, [G] graph twoway histogram gaps, [ST] Glossary GARCH, [TS] arch, [TS] dvech, [TS] Glossary garch command, [TS] arch Gauss, reading data from, [U] 21.4 Transfer programs Gauss–Hermite quadrature, [XT] quadchk GEE (generalized estimating equations), [XT] Glossary, [XT] xtgee postestimation, [XT] xtgee postestimation geigen la() function, [M-5] geigensystem( ) geigenselect* la() functions, [M-5] geigensystem( ) geigensystem() function, [M-5] geigensystem( ) geigensystem la() function, [M-5] geigensystem( ) geigensystemselect*() functions, [M-5] geigensystem( ) generalized autoregressive conditional heteroskedasticity, [TS] arch, [TS] dvech eigensystem, [M-5] geigensystem( ) eigenvalues, [M-6] Glossary gamma survival regression, [ST] streg Hessenberg decomposition, [M-5] ghessenbergd( ) inverse, [M-5] invsym( ), [M-5] pinv( ), [M-5] qrinv( ) inverse of matrix, [P] matrix define, [P] matrix svd least squares, see FGLS least-squares estimator, [TS] Glossary linear latent and mixed models, see GLLAMM linear models, see GLM method of moments, see gmm command method of moments (GMM), [P] matrix accum, [XT] xtabond, [XT] xtdpd, [XT] xtdpdsys
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: Subject index 111 FEVD, [TS] Glossa
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 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

Create successful ePaper yourself

Delete template?

Save as template?