Stata Quick Reference and Index

More documents

Recommendations

Info

138 Subject index permutation matrix and vector, [M-1] permutation, [M-5] invorder( ), [M-6] Glossary tests, [R] permute permutations, [M-5] cvpermute( ) permute prefix command, [R] permute persistfv, set subcommand, [R] set persistvtopic, set subcommand, [R] set person time, [ST] stptime personal command, [P] sysdir PERSONAL directory, [P] sysdir, [U] 17.5 Where does Stata look for ado-files? pharmaceutical statistics, [R] pk, [R] pksumm pharmacokinetic data, [U] 26.22 Pharmacokinetic data, see pk (pharmacokinetic data) pharmacokinetic plots, [G] graph other Phillips–Perron test, [TS] pperron phtest, estat subcommand, [ST] stcox PHassumption tests pi() function, [M-5] sin( ) pi, value of, [U] 11.3 Naming conventions, [U] 13.4 System variables ( variables) pi built-in variable, [U] 11.3 Naming conventions pie, graph subcommand, [G] graph pie pie charts, [G] graph pie piece macro extended function, [P] macro piecewise cubic functions, [R] mkspline linear functions, [R] mkspline Pillai’s trace statistic, [MV] canon, [MV] Glossary, [MV] manova, [MV] mvtest means pinnable, set subcommand, [R] set pinv() function, [M-5] pinv( ) pinv() function, [M-5] pinv( ) pk (pharmacokinetic data), [R] pk, [R] pkcollapse, [R] pkcross, [R] pkequiv, [R] pkexamine, [R] pkshape, [R] pksumm pkcollapse command, [R] pkcollapse pkcross command, [R] pkcross pkequiv command, [R] pkequiv pkexamine command, [R] pkexamine .pkg filename suffix, [R] net pkshape command, [R] pkshape pksumm command, [R] pksumm Plackett–Luce model, [R] rologit platforms for which Stata is available, [U] 5.1 Platforms play, graph subcommand, [G] graph play play() option, [G] play option playsnd, set subcommand, [R] set plot, definition, [G] pstyle plot, ml subcommand, [R] ml plot region, [G] region options suppressing border around, [G] region options plotregion() option, [G] region options plotregionstyle, [G] plotregionstyle plottypes base, [G] advanced options derived, [G] advanced options plugin, loading, [P] plugin plugin option, [P] plugin, [P] program plural() string function, [D] functions PLUS directory, [P] sysdir, [U] 17.5 Where does Stata look for ado-files? PMM imputation, see imputation, predictive mean matching PNG, [G] png options pnorm command, [R] diagnostic plots point estimate, [SVY] Glossary pointers, [M-2] ftof, [M-2] pointers, [M-5] findexternal( ), [M-6] Glossary points, connecting, [G] connect options, [G] connectstyle poisson() function, [D] functions poisson() function, [M-5] normal( ) Poisson distribution, cdf, [D] functions confidence intervals, [R] ci cumulative, [D] functions regression, see Poisson regression inverse cumulative, [D] functions inverse reverse cumulative, [D] functions reverse cumulative, [D] functions probability mass function, [D] functions poisson command, [R] poisson, [R] poisson postestimation; [R] nbreg, also see postestimation command Poisson regression, [R] glm, [R] nbreg, [R] poisson, [SVY] svy estimation, [XT] xtgee, [XT] xtmepoisson fixed-effects, [XT] xtpoisson model, [XT] Glossary population-averaged, [XT] xtpoisson; [XT] xtgee postestimation, [XT] xtpoisson postestimation random-effects, [XT] xtpoisson zero-inflated, [R] zip zero-truncated, [R] ztp poissonp() function, [D] functions, [M-5] normal( ) poissontail() function, [D] functions, [M-5] normal( ) polar coordinates, [D] range polyadd() function, [M-5] polyeval( ) polyderiv() function, [M-5] polyeval( ) polydiv() function, [M-5] polyeval( ) polyeval() function, [M-5] polyeval( ) polyinteg() function, [M-5] polyeval( ) polymorphism, [P] class polymult() function, [M-5] polyeval( ) polynomial smoothing, see local polynomial smoothing polynomials, [M-5] polyeval( ) orthogonal, [R] orthog polyroots() function, [M-5] polyeval( ) polysolve() function, [M-5] polyeval( )
Subject index 139 polytomous logistic regression, [SVY] svy estimation outcome model, [R] asclogit, [R] asmprobit, [R] asroprobit, [R] clogit, [R] mlogit, [R] mprobit, [R] nlogit, [R] ologit, [R] oprobit, [R] rologit, [R] slogit polytrim() function, [M-5] polyeval( ) pooled estimates, [ST] epitab estimator, [XT] Glossary pooling step, [MI] intro substantive, [MI] mi estimate, [MI] mi estimate postestimation, [MI] mi estimate using population-averaged model, [XT] Glossary, [XT] xtcloglog, [XT] xtgee, [XT] xtlogit, [XT] xtnbreg, [XT] xtpoisson, [XT] xtreg population attributable risk, [ST] epitab marginal means, [R] margins pyramid, [G] graph twoway bar standard deviation, see subpopulation, standard deviations populations, diagnostic plots, [R] diagnostic plots examining, [R] histogram, [R] lv, [R] stem, [R] summarize, [R] table standard, [R] dstdize testing equality of, [R] ksmirnov, [R] kwallis, [R] signrank testing for normality, [R] sktest, [R] swilk portmanteau statistic, [TS] Glossary test, [TS] corrgram, [TS] wntestq post, ereturn subcommand, [P] ereturn, [P] makecns post command, [P] postfile post hoc tests, [R] oneway postclose command, [P] postfile posterior probabilities, [MV] Glossary postestimation, see estimation, tests after postestimation command, [I] postestimation commands, [P] estat programming, [R] estat, [R] estimates, [R] hausman, [R] lincom, [R] linktest, [R] lrtest, [R] margins, [R] nlcom, [R] predict, [R] predictnl, [R] suest, [R] test, [R] testnl, [ST] stcurve, [TS] fcast compute, [TS] fcast graph, [TS] irf, [TS] vargranger, [TS] varlmar, [TS] varnorm, [TS] varsoc, [TS] varstable, [TS] varwle, [TS] veclmar, [TS] vecnorm, [TS] vecstable postfile command, [P] postfile PostScript, [G] graph export, [G] text; [G] eps options, [G] ps options poststratification, [SVY] Glossary, [SVY] poststratification postutil clear command, [P] postfile dir command, [P] postfile poverty indices, [R] inequality power, [M-2] op arith, [M-2] op colon, [M-5] matpowersym( ), [ST] Glossary Cox proportional hazards regression, [ST] stpower cox, [ST] stpower exponential survival, [ST] stpower exponential, [ST] stpower exponential test, [ST] stpower exponential, [ST] stpower log-rank, [ST] stpower logrank, [ST] stpower power of a test, [R] sampsi power, raise to, function, see arithmetic operators power transformations, [R] boxcox, [R] lnskew0 P–P plot, [R] diagnostic plots pperron command, [TS] pperron pragma, [M-2] pragma, [M-6] Glossary prais command, [TS] Glossary, [TS] prais, [TS] prais postestimation, [XT] xtpcse Prais–Winsten regression, see prais command precision, [U] 13.11 Precision and problems therein predetermined variable, [XT] Glossary predict, estat subcommand, [R] exlogistic postestimation predict command, [P] predict predict command, [I] estimation commands, [I] postestimation commands, [MV] factor postestimation, [MV] pca postestimation, [R] predict, [R] regress postestimation, [SVY] svy postestimation, [U] 20.9 Obtaining predicted values; [P] ereturn, [P] estimates, [TS] dfactor postestimation, [TS] dvech postestimation, [TS] sspace postestimation predicted marginals, [R] margins population margins, [R] margins prediction, standard error of, [R] glm, [R] predict, [R] regress postestimation predictions, [R] margins, [R] predict, [SVY] svy postestimation nonlinear, [R] predictnl obtaining after estimation, [P] predict predictive marginal means, [R] margins margins, [R] margins, [U] 20.14 Obtaining marginal means, adjusted predictions, and predictive margins mean matching imputation, see imputation, predictive mean matching predictnl command, [R] predictnl, [SVY] svy postestimation prefix command, [R] bootstrap, [R] fracpoly, [R] jackknife, [R] mfp, [R] nestreg, [R] permute, [R] simulate, [R] stepwise, [R] xi, [U] 11.1.10 Prefix commands Pregibon delta beta influence statistic, [R] logistic preprocessor commands, [R] #review preserve command, [P] preserve preserving user’s data, [P] preserve prevalence studies, see case–control data, see crosssectional studies
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: Subject index 137 parameter trace f
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?