Subject index - Stata

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24 Subject index determinant of matrix, [M-5] det( ), [P] matrix define deterministic trend, [TS] Glossary dettriangular() function, [M-5] det( ) deviance residual, [ME] mecloglog postestimation, [ME] meglm postestimation, [ME] melogit postestimation, [ME] menbreg postestimation, [ME] mepoisson postestimation, [ME] meprobit postestimation, [ME] meqrlogit postestimation, [ME] meqrpoisson postestimation, [R] binreg postestimation, [R] fp postestimation, [R] glm postestimation, [R] logistic postestimation, [R] logit postestimation, [R] probit postestimation, [ST] stcox postestimation, [ST] streg postestimation deviation cross product, [M-5] crossdev( ), [M-5] quadcross( ) dexponential, tssmooth subcommand, [TS] tssmooth dexponential dfactor command, [TS] dfactor, [TS] dfactor postestimation DFBETA, [R] regress postestimation, [ST] stcox postestimation, [ST] stcrreg postestimation, [ST] Glossary dfbeta command, [R] regress postestimation dfgls command, [TS] dfgls DFITS, [R] regress postestimation DFP algorithm, [R] ml dfuller command, [TS] dfuller dgammapda() function, [D] functions, [M-5] normal( ) dgammapdada() function, [D] functions, [M-5] normal( ) dgammapdadx() function, [D] functions, [M-5] normal( ) dgammapdx() function, [D] functions, [M-5] normal( ) dgammapdxdx() function, [D] functions, [M-5] normal( ) dhms() function, [D] datetime, [D] functions, [M-5] date( ) diag() function, [M-5] diag( ) diag() function, [D] functions, [M-5] diag( ), [P] matrix define diag0cnt() function, [D] functions, [M-5] diag0cnt( ), [P] matrix define diagnostic codes, [D] icd9 diagnostic plots, [G-2] graph other, [R] diagnostic plots, [R] logistic postestimation, [R] regress postestimation diagnostic plots diagnostics, regression, see regression diagnostics diagonal, [M-5] diagonal( ), [M-6] Glossary diagonal matrix, [M-5] diag( ), [M-5] diag( ), [M-5] diagonal( ), [M-5] isdiagonal( ), [M-6] Glossary diagonal vech model, [TS] mgarch, [TS] mgarch dvech diagonal() function, [M-5] diagonal( ) diagonals of matrices, [P] matrix define dialog box, [R] db, [P] dialog programming, [P] window programming, [P] window fopen, [P] window manage, [P] window menu, [P] window push, [P] window stopbox programming, [P] dialog programming, [P] window programming, [P] window fopen, [P] window manage, [P] window menu, [P] window push, [P] window stopbox Dice coefficient similarity measure, [MV] measure option dichotomous outcome model, see outcomes, binary, see outcomes, binary Dickey–Fuller test, [TS] dfgls, [TS] dfuller dictionaries, [D] export, [D] import, [D] infile (fixed format), [D] infix (fixed format), [D] outfile, [M-5] asarray( ) diff(), egen function, [D] egen difference of estimated coefficients, see linear combinations of estimators difference operator, [TS] Glossary, [U] 11.4.4 Timeseries varlists differences of two means test, [SVY] svy postestimation differentiation, [M-5] deriv( ) difficult option, [R] maximize digamma() function, [D] functions, [M-5] factorial( ) digitally signing data, see datasignature command digits, controlling the number displayed, [D] format, [U] 12.5 Formats: Controlling how data are displayed dilation, [MV] procrustes, [MV] Glossary dimension, [MV] Glossary dir, ado subcommand, [R] net bcal subcommand, [D] bcal classutil subcommand, [P] classutil cluster subcommand, [MV] cluster utility constraint subcommand, [R] constraint estimates subcommand, [P] estimates estimates subcommand, [R] estimates store graph subcommand, [G-2] graph dir label subcommand, [D] label macro subcommand, [P] macro matrix subcommand, [P] matrix utility postutil subcommand, [P] postfile program subcommand, [P] program return subcommand, [P] return scalar subcommand, [P] scalar serset subcommand, [P] serset sysuse subcommand, [D] sysuse dir command, [D] dir dir macro extended function, [P] macro dir() function, [M-5] dir( ) direct standardization, [R] dstdize, [R] mean, [R] proportion, [R] ratio, [SVY] direct standardization, [SVY] Glossary
Subject index 25 direction of an effect, lower, [PSS] intro, [PSS] power, [PSS] Glossary upper, [PSS] intro, [PSS] power, [PSS] Glossary directional test, see one-sided test directories, [M-5] chdir( ), [M-5] dir( ), [M-5] direxists( ), [P] creturn, [U] 11.6 Filenaming conventions, [U] 18.3.11 Constructing Windows filenames by using macros changing, [D] cd creating, [D] mkdir listing, [D] dir location of ado-files, [U] 17.5 Where does Stata look for ado-files? removing, [D] rmdir directory, class, [P] classutil direxists() function, [M-5] direxists( ) direxternal() function, [M-5] direxternal( ) discard command, [P] discard, [U] 18.11.3 Debugging ado-files discard, relationship to graph drop, [G-2] graph drop discordant pairs, [PSS] power, [PSS] power pairedproportions, [PSS] Glossary proportion, [PSS] power, [PSS] power pairedproportions, [PSS] Glossary discrete option, [G-2] graph twoway histogram discrete survival data, [ST] discrete discrim knn command, [MV] discrim, [MV] discrim estat, [MV] discrim knn, [MV] discrim knn postestimation lda command, [MV] discrim, [MV] discrim estat, [MV] discrim lda, [MV] discrim lda postestimation logistic command, [MV] discrim, [MV] discrim estat, [MV] discrim logistic, [MV] discrim logistic postestimation qda command, [MV] discrim, [MV] discrim estat, [MV] discrim qda, [MV] discrim qda postestimation discriminant analysis, [MV] candisc, [MV] discrim, [MV] discrim knn, [MV] discrim lda, [MV] discrim logistic, [MV] discrim qda, [MV] Glossary loading plot, [MV] scoreplot score plot, [MV] scoreplot discriminant function, [MV] discrim, [MV] discrim lda, [MV] discrim lda postestimation, [MV] Glossary discriminating variables, [MV] Glossary disparity, [MV] Glossary dispersion, measures of, [D] pctile, [XT] xtsum, see standard deviations, displaying, see variance, displaying, see percentiles, displaying, see range of data display as error, [M-5] displayas( ), [M-5] errprintf( ) as text, as result, etc., [M-5] displayas( ) formats, [D] describe, [D] format, [P] macro, [U] 12.5 Formats: Controlling how data are displayed, [U] 24.3 Displaying dates and times graph, [G-2] graph display settings, [R] set showbaselevels width and length, [R] log display, ereturn subcommand, [P] ereturn graph subcommand, [G-2] graph display ml subcommand, [R] ml display command, [P] display, [P] macro, [U] 19.1.2 A list of the immediate commands as a calculator, [R] display display macro extended function, [P] display display() function, [M-5] display( ) displayas() function, [M-5] displayas( ) displayflush() function, [M-5] displayflush( ) displaying, also see printing, logs (output) contents, [D] describe data, [D] edit, [D] list files, [D] type long strings, see string variables, long macros, [P] macro matrix, [P] matrix utility named graphs, [G-2] graph display, [G-2] graph use output, [P] display, [P] quietly, [P] smcl, [P] tabdisp previously typed lines, [R] #review scalar expressions, [P] display, [P] scalar stored results, [R] stored results dissimilarity, [MV] Glossary matrix, [MV] matrix dissimilarity, [MV] Glossary, [P] matrix dissimilarity measures, [MV] cluster, [MV] cluster programming utilities, [MV] matrix dissimilarity, [MV] mds, [MV] measure option, [P] matrix dissimilarity absolute value, [MV] measure option Bray and Curtis, [MV] clustermat Canberra, [MV] measure option Euclidean, [MV] measure option Gower, [MV] measure option maximum value, [MV] measure option Minkowski, [MV] measure option dissimilarity, matrix subcommand, [MV] matrix dissimilarity, [P] matrix dissimilarity distance matrices, [MV] matrix dissimilarity, [P] matrix dissimilarity distances, see dissimilarity measures distances, estat subcommand, [MV] ca postestimation distribution functions, [M-5] normal( ) distributional diagnostic plots, [G-2] graph other
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: Subject index 23 defective matrix,
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 and 36: Subject index 35 files, continued c
Page 37 and 38: Subject index 37 frequencies, creat
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]
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Subject index 75 postestimation com
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Subject index 77 probability of a t
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Subject index 79 quad precision, [M
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Subject index 81 rcap, graph twoway
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Subject index 83 reset, mi subcomma
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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, [
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Subject index 113 xtcloglog command
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Subject index - Stata

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