Subject index - Stata

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36 Subject index fopen() function, [M-5] fopen( ) fopen, window subcommand, [P] window programming, [P] window fopen for, [M-2] for, [M-2] continue, [M-2] break, [M-2] semicolons for, estimates subcommand, [R] estimates for forcecorrelations option, see sem option forcecorrelations forcenoanchor option, see gsem option forcenoanchor, see sem option forcenoanchor forcexconditional option, see sem option forcexconditional foreach command, [P] foreach forecast, [TS] forecast adjust command, [TS] forecast adjust clear command, [TS] forecast clear coefvector command, [TS] forecast coefvector create command, [TS] forecast create describe command, [TS] forecast describe drop command, [TS] forecast drop estimates command, [TS] forecast estimates exogenous command, [TS] forecast exogenous identity command, [TS] forecast identity list command, [TS] forecast list query command, [TS] forecast query solve command, [TS] forecast solve forecast, [G-2] graph other ARCH model, [TS] arch postestimation ARFIMA model, [TS] arfima postestimation ARIMA model, [TS] arima postestimation dynamic-factor model, [TS] dfactor postestimation econometric model, [TS] forecast, [TS] forecast adjust, [TS] forecast clear, [TS] forecast coefvector, [TS] forecast create, [TS] forecast describe, [TS] forecast drop, [TS] forecast estimates, [TS] forecast exogenous, [TS] forecast identity, [TS] forecast list, [TS] forecast query, [TS] forecast solve, [U] 20.20 Dynamic forecasts and simulations MGARCH model, see multivariate GARCH postestimation standard error of, [R] regress postestimation state-space model, [TS] sspace postestimation structural vector autoregressive model, [TS] var svar postestimation unobserved-components model, [TS] ucm postestimation vector autoregressive model, [TS] var postestimation vector error-correction model, [TS] vec postestimation forecast-error variance decomposition, [G-2] graph other, [TS] irf, [TS] irf create, [TS] irf ograph, [TS] irf table, [TS] var intro, [TS] varbasic, [TS] vec intro, [TS] Glossary forecasting, [TS] arch, [TS] arfima, [TS] arima, [TS] fcast compute, [TS] fcast graph, [TS] irf create, [TS] mgarch, [TS] tsappend, [TS] tssmooth, [TS] tssmooth dexponential, [TS] tssmooth exponential, [TS] tssmooth hwinters, [TS] tssmooth ma, [TS] tssmooth shwinters, [TS] ucm, [TS] var intro, [TS] var, [TS] vec intro, [TS] vec foreground color, [G-4] schemes intro format command, [D] format format macro extended function, [P] macro format settings, [R] set cformat format width, [M-5] fmtwidth( ) format, confirm subcommand, [P] confirm formats, [D] datetime, [D] describe, [D] format, [D] varmanage, [U] 12.5 Formats: Controlling how data are displayed, [U] 20.8 Formatting the coefficient table, [U] 24.3 Displaying dates and times formatted data, reading, see importing data 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 fp generate command, [R] fp fp plot command, [R] fp postestimation fp predict command, [R] fp postestimation fp prefix command, [R] fp, [R] fp postestimation FPC, see finite population correction fpfit, graph twoway subcommand, [G-2] graph twoway fpfit fpfitci, graph twoway subcommand, [G-2] graph twoway fpfitci fput() function, [M-5] fopen( ) fput() function, [M-5] fopen( ) fputmatrix() function, [M-5] fopen( ) fputmatrix() function, [M-5] fopen( ) fraction defective, [R] qc fraction missing information, [MI] mi estimate, [MI] mi predict, [MI] mi test, [MI] Glossary fraction option, [G-2] graph twoway histogram fractional polynomial regression, [R] fp multivariable, [R] mfp fractional sample size, see sample size, fractional fractionally integrated autoregressive moving-average model, [TS] estat acplot, [TS] psdensity frailty, see shared frailty frailty model, [ST] stcox, [ST] stcurve, [ST] streg framework, estat subcommand, [SEM] estat framework fread() function, [M-5] fopen( ) fread() function, [M-5] fopen( ) freduse command, [TS] arfima postestimation free, constraint subcommand, [R] constraint
Subject index 37 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 twoway, [R] tabulate, summarize(), [SVY] svy: tabulate oneway, [SVY] svy: tabulate twoway frequency option, [G-2] graph twoway histogram frequency table, [XT] xttab frequency weight, [U] 11.1.6 weight, [U] 20.23.1 Frequency weights [frequency=exp] modifier, [U] 11.1.6 weight, [U] 20.23.1 Frequency weights frequency-domain analysis, [TS] cumsp, [TS] pergram, [TS] psdensity, [TS] Glossary frequentist concepts, [MI] intro substantive freturncode() function, [M-5] ferrortext( ) from, net subcommand, [R] net update subcommand, [R] update from() option, [R] maximize, see gsem option from(), see sem option from() frombase() function, [M-5] inbase( ) frontier command, [R] frontier, [R] frontier postestimation frontier model, see stochastic frontier model 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 conditional specification, [MI] mi impute, [MI] mi impute chained, [MI] Glossary function, graph twoway subcommand, [G-2] graph twoway function functions, [D] functions, [M-2] declarations, [M-4] intro, [M-5] intro, [M-6] Glossary, [U] 13.3 Functions aggregate, [D] egen arguments, [M-1] returnedargs, also see arguments cluster generate, adding, [MV] cluster programming subroutines functions, continued combinations of estimators, [R] lincom, [R] nlcom combinatorial, [D] functions creating dataset of, [D] collapse, [D] obs cumulative distribution, [R] cumul date, [U] 24.5 Extracting components of dates and times date and time, [D] functions derivatives and integrals of, [R] dydx estimable, [R] margins evaluator program, [R] gmm, [R] nl, [R] nlsur extended macro, [P] char, [P] display, [P] macro, [P] macro lists, [P] serset fractional polynomial, [R] fp, [R] mfp graphing, [D] range, [G-2] graph twoway function index, [R] logistic postestimation, [R] logit postestimation, [R] probit postestimation kernel, [R] kdensity, [R] lpoly link, [R] glm mathematical, [D] functions matrix, [D] functions, [P] matrix define, [U] 14.8 Matrix functions maximizing likelihood, [R] maximize, [R] ml naming convention, [M-1] naming obtaining help for, [R] help orthogonalization, [R] orthog parameters, [R] nlcom piecewise cubic and piecewise linear, [R] mkspline prediction, [R] predict, [R] predictnl production and cost, [R] frontier passing to functions, [M-2] ftof programming, [D] functions random number, [D] generate statistical, [D] functions string, [D] functions time-series, [D] functions underscore, [M-6] Glossary variance, [R] glm future history, [ST] stset, [ST] Glossary fvexpand command, [P] fvexpand fvlabel, set subcommand, [R] set, [R] set showbaselevels fvrevar command, [R] fvrevar fvset base command, [R] fvset clear command, [R] fvset command for mi data, [MI] mi XXXset design command, [R] fvset report command, [R] fvset fvset, mi subcommand, [MI] mi XXXset fvstandard option, see gsem option fvstandard fvunab command, [P] unab fvwrap() option, see sem option fvwrap() fvwrap, set subcommand, [R] set, [R] set showbaselevels fvwrapon() option, see sem option fvwrapon()
Page 1 and 2: Subject index Symbols ! (not), see
Page 3 and 4: Subject index 3 alternative, contin
Page 5 and 6: Subject index 5 autoregressive, con
Page 7 and 8: Subject index 7 biquartimax rotatio
Page 9 and 10: Subject index 9 c(maxstrvarlen) c-c
Page 11 and 12: Subject index 11 char, continued ma
Page 13 and 14: Subject index 13 cluster analysis,
Page 15 and 16: Subject index 15 colnames, matrix s
Page 17 and 18: Subject index 17 confidence interva
Page 19 and 20: Subject index 19 convergence, [SEM]
Page 21 and 22: Subject index 21 cross-sectional da
Page 23 and 24: Subject index 23 defective matrix,
Page 25 and 26: Subject index 25 direction of an ef
Page 27 and 28: Subject index 27 dsign() function,
Page 29 and 30: Subject index 29 endogenous, contin
Page 31 and 32: Subject index 31 estat, continued m
Page 33 and 34: Subject index 33 experimental data,
Page 35: Subject index 35 files, continued c
Page 39 and 40: Subject index 39 ghessenbergd la()
Page 41 and 42: Subject index 41 graphs, continued
Page 43 and 44: Subject index 43 gsem option, conti
Page 45 and 46: Subject index 45 httpproxy, set sub
Page 47 and 48: Subject index 47 incidence-rate rat
Page 49 and 50: Subject index 49 invpoissontail() f
Page 51 and 52: Subject index 51 label values, [P]
Page 53 and 54: Subject index 53 lines, continued l
Page 55 and 56: Subject index 55 lower-triangular m
Page 57 and 58: Subject index 57 matmissing() funct
Page 59 and 60: Subject index 59 means, continued g
Page 61 and 62: Subject index 61 mindices, estat su
Page 63 and 64: Subject index 63 mreldifre() functi
Page 65 and 66: Subject index 65 nbinomialtail() fu
Page 67 and 68: Subject index 67 nonparametric anal
Page 69 and 70: Subject index 69 ocloglog option, s
Page 71 and 72: Subject index 71 outcomes, continue
Page 73 and 74: Subject index 73 pcorr command, [R]
Page 75 and 76: Subject index 75 postestimation com
Page 77 and 78: Subject index 77 probability of a t
Page 79 and 80: Subject index 79 quad precision, [M
Page 81 and 82: Subject index 81 rcap, graph twoway
Page 83 and 84: Subject index 83 reset, mi subcomma
Page 85 and 86: Subject index 85 robust, Huber/Whit
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Subject index 87 sample size, conti
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Subject index 89 sem command, [SEM]
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Subject index 91 set, cluster subco
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Subject index 93 snapshot, [D] snap
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Subject index 95 stability, [TS] va
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Subject index 97 stbase command, [S
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Subject index 99 Student’s t, dis
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Subject index 101 svy: mean command
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Subject index 103 tempfile command,
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Subject index 105 timer, continued
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Subject index 107 Tukey’s Student
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Subject index 109 use command, [D]
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Subject index 111 verifying data, [
Page 113 and 114:
Subject index 113 xtcloglog command
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Subject index - Stata

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