Subject index - Stata

More documents

Recommendations

Info

32 Subject index estimation allowed estimation commands, [MI] estimation commands, [P] ereturn, [P] estimates, [U] 18.9 Accessing results calculated by estimation commands, [U] 26 Overview of Stata estimation commands allowing constraints in, [P] makecns eliminating stored information from, [P] discard obtaining predictions after, [P] predict obtaining robust estimates, [P] robust saving results from, [P] estimates degrees of freedom for coefficients, [MI] mi estimate method, [SEM] Glossary options, [R] estimation options, [SEM] gsem estimation options, [SEM] sem estimation options posting VCE, [MI] mi estimate predictions after, see predictions, obtaining after estimation results, clearing, [P] ereturn, [P] estimates, [R] estimates store listing, [P] ereturn, [P] estimates saving, [P] estimates storing, [P] ereturn storing and restoring, [R] estimates store tables of, [R] estimates table sample, summarizing, [R] estat, [R] estat summarize test after, [MI] mi estimate, [MI] mi test estimators, covariance matrix of, [P] ereturn, [P] matrix get, [R] correlate, [R] estat, [R] estat vce, [U] 20.9 Obtaining the variance–covariance matrix linear combinations, [U] 20.13 Obtaining linear combinations of coefficients linear combinations of, [R] lincom nonlinear combinations of, [R] nlcom etiologic fraction, [ST] epitab etpoisson command, [TE] etpoisson, [TE] etpoisson postestimation etregress command, [TE] etregress, [TE] etregress postestimation Euclidean dissimilarity measure, [MV] measure option Euclidean distance, [MV] Glossary event, [ST] Glossary event history analysis, see survival analysis event of interest, [ST] Glossary Ex, [SEM] sem and gsem option covstructure( ) exact binomial test, see binomial test exact statistics, [U] 26.12 Exact estimators binary confidence intervals, [R] ci, [R] exlogistic, [R] roctab centiles, [R] centile indirect standardization, [R] dstdize exact statistics, continued one-way anova, [R] loneway regression, [R] exlogistic, [R] expoisson test, binomial probability, [R] bitest equality of distributions, [R] ksmirnov equality of medians, [R] ranksum Fisher’s, [R] tabulate twoway symmetry and marginal homogeneity, [R] symmetry tetrachoric correlations, [R] tetrachoric exact test, [PSS] Glossary example datasets, [U] 1.2.2 Example datasets examples, duplicates subcommand, [D] duplicates excel, export subcommand, [D] import excel import subcommand, [D] import excel Excel, [U] 21 Entering and importing data dates, [D] datetime Microsoft, reading data from, [D] import excel, [D] odbc, [D] xmlsave, also see spreadsheets, transferring Microsoft, write results to, [P] putexcel excess fraction, [ST] epitab exec(), odbc subcommand, [D] odbc existence, confirm subcommand, [P] confirm exit class program, [P] class exit exit command, [P] capture, [P] exit, [R] exit, [U] 16.1.4 Error handling in do-files exit Mata, [M-3] end exiting Stata, see exit command exit() function, [M-5] exit( ) exit, class subcommand, [P] class exit exlogistic command, [R] exlogistic, [R] exlogistic postestimation exogeneity test, see endogeneity test exogenous, forecast subcommand, [TS] forecast exogenous exogenous variable, [SEM] intro 4, [SEM] Glossary, [TS] Glossary, [XT] Glossary exp, [M-2] exp, [M-6] Glossary =exp, [U] 11 Language syntax exp() function, [D] functions, [M-5] exp( ) exp list, [SVY] svy bootstrap, [SVY] svy brr, [SVY] svy jackknife, [SVY] svy sdr, [TS] rolling expand command, [D] expand expand factor varlists, [P] fvexpand expand for mi data, [MI] mi expand expand, mi subcommand, [MI] mi expand expandcl command, [D] expandcl expectation-maximization algorithm, [MI] mi impute mvn, [MI] Glossary parameter trace files, [MI] mi ptrace expected information matrix, [SEM] Glossary
Subject index 33 experimental data, [MV] manova, [R] anova, [R] contrast, [R] correlate, [R] kwallis, [R] logit, [R] mean, [R] regress, [R] summarize, [R] tabulate oneway, [R] tabulate twoway, [R] ttest, [ST] epitab, [U] 12 Data, [U] 20 Estimation and postestimation commands, [U] 26.4 Structural equation modeling (SEM), [U] 26.19 Multilevel mixedeffects models, [U] 26.20 Survival-time (failuretime) models experimental group, [PSS] Glossary correlation, see correlations, experimental-group mean, see means, experimental-group proportion, see proportions, experimental-group sample size, see sample size, experimental-group standard deviation, see standard deviations, experimental-group variance, see variances, experimental-group experimental study, [PSS] intro, [PSS] power, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] Glossary exploded logit model, [R] rologit expoisson command, [R] expoisson, [R] expoisson postestimation exponential distribution, [ST] streg exponential function, [D] functions exponential generalized autoregressive conditional heteroskedasticity, [TS] arch exponential notation, [U] 12.2 Numbers exponential smoothing, [TS] tssmooth, [TS] tssmooth exponential, [TS] Glossary exponential, stpower subcommand, [ST] stpower exponential exponential, tssmooth subcommand, [TS] tssmooth exponential exponential survival power, [ST] stpower exponential regression, [ST] streg sample size, [ST] stpower exponential exponential test, [ST] Glossary power, [ST] stpower exponential sample size, [ST] stpower exponential exponentiated coefficients, [R] eform option, [SEM] estat eform exponentiation, [M-5] exp( ), [M-5] matexpsym( ) export delimited command, [D] import delimited excel command, [D] import excel sasxport command, [D] import sasxport export, graph subcommand, [G-2] graph export export, mi subcommand, [MI] mi export, [MI] mi export ice, [MI] mi export nhanes1 exporting data, [D] export, [D] import delimited, [D] import excel, [D] import sasxport, [D] odbc, [D] outfile, [D] xmlsave, [M-5] docx*( ), [M-5] xl( ), [MI] mi export, [MI] mi export ice, [MI] mi export nhanes1, [U] 21.4 Transfer programs exporting graphs, [G-2] graph export, [G-2] graph set, [G-3] eps options, [G-3] png options, [G-3] ps options, [G-3] tif options, [G-4] text exporting results, [P] putexcel exposure() option, see gsem option exposure() exposure variable, [ST] Glossary expressions, [M-2] exp, [P] matrix define, [U] 13 Functions and expressions extended macro functions, [P] char, [P] display, [P] macro, [P] macro lists, [P] serset external, [M-2] declarations externals, [M-2] declarations, [M-5] direxternal( ), [M-5] findexternal( ), [M-5] valofexternal( ), [M-6] Glossary extract diagonal, [M-5] diagonal( ), [M-5] diag( ) extract, mi subcommand, [MI] mi extract, [MI] mi replace0 extracting m=# data from mi data, [MI] mi extract, [MI] mi select extracting original data from mi data, [MI] mi extract extrapolation, [D] ipolate F F density, central, [D] functions noncentral, [D] functions distribution, cumulative, [D] functions cumulative noncentral, [D] functions inverse cumulative, [D] functions inverse reverse cumulative, [D] functions inverse reverse cumulative noncentral, [D] functions reverse cumulative, [D] functions reverse cumulative noncentral, [D] functions noncentrality parameter, [D] functions test, [PSS] Glossary F() function, [D] functions, [M-5] normal( ) Facebook, see Stata on Facebook factor, [MV] Glossary, [PSS] Glossary analysis, [MV] alpha, [MV] canon, [MV] factor, [MV] factor postestimation, [MV] Glossary also see confirmatory factor analysis loading plot, [MV] scoreplot, [MV] Glossary loadings, [MV] Glossary model, [TS] dfactor parsimony rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary score plot, [MV] scoreplot
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: Subject index 31 estat, continued m
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]
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,
Page 105 and 106:
Subject index 105 timer, continued
Page 107 and 108:
Subject index 107 Tukey’s Student
Page 109 and 110:
Subject index 109 use command, [D]
Page 111 and 112:
Subject index 111 verifying data, [
Page 113 and 114:
Subject index 113 xtcloglog command
show all

Subject index - Stata

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?