Subject index - Stata

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54 Subject index location, measures of, [R] lv, [R] summarize, [R] table location, specifying, [G-4] clockposstyle, [G-4] compassdirstyle, [G-4] ringposstyle locksplitters, set subcommand, [R] set log close command, [R] log command, [R] log, [R] view, [U] 15 Saving and printing output—log files, [U] 16.1.2 Comments and blank lines in do-files off command, [R] log on command, [R] log query command, [R] log using command, [R] log .log file, [U] 11.6 Filenaming conventions log files, see log command printing, [R] translate, also see log command log() function, [D] functions, [M-5] exp( ) log likelihood, [SEM] methods and formulas for gsem, [SEM] methods and formulas for sem log or nolog option, [R] maximize log scales, [G-3] axis scale options log transformations, [R] boxcox, [R] lnskew0 log10() function, [D] functions, [M-5] exp( ) logarithms, [M-5] exp( ), [M-5] matexpsym( ) logical operators, [M-2] op logical, [U] 13.2.4 Logical operators logistic and logit regression, [R] logistic, [R] logit, [SEM] intro 5, [SEM] example 33g, [SEM] example 34g, [SEM] Glossary, [SVY] svy estimation complementary log-log, [R] cloglog conditional, [R] asclogit, [R] clogit, [R] rologit exact, [R] exlogistic fixed-effects, [R] asclogit, [R] clogit, [XT] xtlogit fractional polynomial, [R] fp generalized estimating equations, [XT] xtgee generalized linear model, [R] glm mixed-effects, [ME] melogit, [ME] meqrlogit, also see ordered logistic regression multinomial, [R] asclogit, [R] clogit, [R] mlogit nested, [R] nlogit ordered, [R] ologit polytomous, [R] mlogit population-averaged, [XT] xtgee, [XT] xtlogit random-effects, [XT] xtlogit, [XT] xtologit rank-ordered, [R] rologit skewed, [R] scobit stereotype, [R] slogit with grouped data, [R] glogit logistic command, [R] logistic, [R] logistic postestimation logistic discriminant analysis, [MV] discrim logistic, [MV] Glossary logistic regression imputation, see imputation, logistic regression logistic, discrim subcommand, [MV] discrim logistic logit command, [R] logit, [R] logit postestimation logit function, [D] functions logit option, see gsem option logit logit regression, see logistic and logit regression logit() function, [M-5] logit( ) log-linear model, [R] expoisson, [R] glm, [R] ivpoisson, [R] poisson, [R] tpoisson, [R] zip, [SVY] svy estimation, [TE] etpoisson log-log plot, [ST] stcox PH-assumption tests loglogistic survival regression, [ST] streg lognormal survival regression, [ST] streg log-rank, power, [ST] stpower logrank sample size, [ST] stpower logrank test, [ST] stpower logrank, [ST] sts test logrank, stpower subcommand, [ST] stpower logrank logtype, set subcommand, [R] log, [R] set LOHI, [M-5] byteorder( ) loneway command, [R] loneway long, [D] data types long (storage type), [U] 12.2.2 Numeric storage types long lines in ado-files and do-files, [P] #delimit, [U] 18.11.2 Comments and long lines in adofiles long strings, see string variables, long long, reshape subcommand, [D] reshape longitudinal data, [MI] mi estimate, [XT] Glossary, see panel data longitudinal studies, see incidence studies longitudinal survey data, [SVY] svy estimation long-memory process, [TS] arfima, [TS] Glossary LOO, see leave one out look of areas, [G-3] area options, [G-3] fitarea options lookfor command, [D] lookfor lookup, icd9 subcommand, [D] icd9 icd9p subcommand, [D] icd9 loop, [M-2] do, [M-2] for, [M-2] while continuing, [M-2] continue endless, see endless loop exiting, [M-2] break use of semicolons in, [M-2] semicolons looping, [P] continue, [P] foreach, [P] forvalues, [P] while Lorenz curve, [R] inequality loss, [MV] Glossary loss to follow-up, [ST] Glossary Lotus 1-2-3, reading data from, see spreadsheets lower one-sided test, [PSS] Glossary, also see one-sided test, lower one-tailed test, see lower one-sided test lower() function, [D] functions lowercase, [M-5] strupper( ) lowercase-string function, [D] functions lowertriangle() function, [M-5] lowertriangle( ) lowertriangle() function, [M-5] lowertriangle( )
Subject index 55 lower-triangular matrix, see triangular matrix lowess, see locally weighted smoothing lowess command, [R] lowess lowess smoothing, [G-2] graph other lowess, graph twoway subcommand, [G-2] graph twoway lowess lpattern() option, [G-3] connect options, [G-3] rspike options lpoly command, [R] lpoly lpoly, graph twoway subcommand, [G-2] graph twoway lpoly lpolyci, graph twoway subcommand, [G-2] graph twoway lpolyci L-R plots, [G-2] graph other, [R] regress postestimation diagnostic plots LRECLs, [D] infile (fixed format) lroc command, [R] lroc lrtest command, [R] lrtest, [SEM] example 10, [SEM] example 39g, [SEM] lrtest ls command, [D] dir lsens command, [R] lsens lstat command, see estat classification command lstretch, set subcommand, [R] set lstyle() option, [G-3] rspike options ltable command, [ST] ltable ltolerance() option, [R] maximize ltrim() function, [D] functions LU decomposition, [M-5] lud( ) lud() function, [M-5] lud( ) lud() function, [M-5] lud( ) lud la() function, [M-5] lud( ) luinv() function, [M-5] luinv( ) luinv() function, [M-5] luinv( ) luinv la() function, [M-5] luinv( ) lusolve() function, [M-5] lusolve( ) lusolve() function, [M-5] lusolve( ) lusolve la() function, [M-5] lusolve( ) lv command, [R] lv lval, [M-2] op assignment, [M-6] Glossary lvalue, class, [P] class lvr2plot command, [R] regress postestimation diagnostic plots lwidth() option, [G-3] connect options, [G-3] rspike options M M, [MI] mi impute, [MI] Glossary size recommendations, [MI] intro substantive, [MI] mi estimate m, [MI] Glossary MA, see moving average model ma, tssmooth subcommand, [TS] tssmooth ma Mac, keyboard use, [U] 10 Keyboard use pause, [P] sleep specifying filenames, [U] 11.6 Filenaming conventions machine precision, [M-5] epsilon( ), [M-6] Glossary macro dir command, [P] macro drop command, [P] macro list command, [P] macro shift command, [P] macro macro substitution, [P] macro class, [P] class macros, [P] creturn, [P] macro, [P] scalar, [P] syntax, [U] 18.3 Macros, also see e() stored results macval() macro expansion function, [P] macro MAD regression, [R] qreg mad(), egen function, [D] egen Mahalanobis distance, [MV] Glossary transformation, [MV] Glossary main effects, [MV] manova, [R] anova makecns command, [P] makecns makesymmetric() function, [M-5] makesymmetric( ) makesymmetric() function, [M-5] makesymmetric( ) man command, [R] help manage, window subcommand, [P] window programming, [P] window manage MANCOVA, see multivariate analysis of covariance mangle option, [G-2] graph twoway pcarrow manifest variables, [SEM] Glossary manipulation commands, [G-2] graph manipulation Mann–Whitney two-sample statistics, [R] ranksum MANOVA, see multivariate analysis of variance manova command, [MV] manova, [MV] manova postestimation manova, estat subcommand, [MV] discrim lda postestimation manovatest command, [MV] manova postestimation Mantel–Cox method, [ST] strate Mantel–Haenszel method, [ST] strate test, [ST] epitab, [ST] stir mapping strings to numbers, [D] destring, [D] encode, [D] label, also see real() function maps, [M-5] asarray( ) MAR, see missing at random, see missing values marginal effects, [R] margins, [R] marginsplot, [U] 20.15 Obtaining marginal means, adjusted predictions, and predictive margins, [U] 20.19 Graphing margins, marginal effects, and contrasts homogeneity, [PSS] power, [PSS] power pairedproportions, [PSS] Glossary homogeneity, test of, [R] symmetry
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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 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: Subject index 53 lines, continued l
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
Page 87 and 88: Subject index 87 sample size, conti
Page 89 and 90: Subject index 89 sem command, [SEM]
Page 91 and 92: Subject index 91 set, cluster subco
Page 93 and 94: Subject index 93 snapshot, [D] snap
Page 95 and 96: Subject index 95 stability, [TS] va
Page 97 and 98: Subject index 97 stbase command, [S
Page 99 and 100: Subject index 99 Student’s t, dis
Page 101 and 102: Subject index 101 svy: mean command
Page 103 and 104: 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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