Subject index - Stata

More documents

Recommendations

Info

68 Subject index null correlation, [PSS] intro, [PSS] power hypothesis and alternative hypothesis, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] power, table, [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] unbalanced designs, [PSS] Glossary mean, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power oneproportion, [PSS] power onecorrelation, [PSS] unbalanced designs mean difference, [PSS] intro, [PSS] power, [PSS] power pairedmeans parameter, see null value proportion, [PSS] intro, [PSS] power space, [PSS] intro standard deviation, [PSS] intro, [PSS] power, [PSS] power onevariance value, see hypothesized value variance, [PSS] intro, [PSS] power, [PSS] power onevariance nullmat() function, [D] functions, [P] matrix define number to string conversion, see string functions number, confirm subcommand, [P] confirm numbered styles, [G-4] linestyle, [G-4] markerlabelstyle, [G-4] markerstyle, [G-4] pstyle numbers, [U] 12.2 Numbers formatting, [D] format mapping to strings, [D] encode, [D] label numeric, [M-2] declarations, [M-6] Glossary numeric list, [P] numlist, [P] syntax, [U] 11.1.8 numlist numeric value labels, [D] labelbook numerical precision, [U] 13.11 Precision and problems therein numlabel command, [D] labelbook numlist command, [P] numlist, [U] 11.1.8 numlist N-way analysis of variance, [R] anova N-way multivariate analysis of variance, [MV] manova O object, [P] class object code, [M-1] how, [M-6] Glossary object-oriented programming, [M-2] class, [M-6] Glossary, [P] class objects, size of, [G-4] relativesize .objkey built-in class function, [P] class .objtype built-in class function, [P] class oblimax rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary oblimin rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary oblique rotation, [MV] factor postestimation, [MV] rotate, [MV] rotatemat, [MV] Glossary oblique transformation, see oblique rotation obs parameter, [D] describe, [D] obs obs, set subcommand, [D] obs, [R] set observational data, [R] correlate, [R] heckman, [R] ivregress, [R] logit, [R] mean, [R] regress, [R] summarize, [R] tabulate oneway, [R] tabulate twoway, [R] ttest, [TE] treatment effects, [TE] etpoisson, [TE] etpoisson postestimation, [TE] etregress, [TE] etregress postestimation, [TE] teffects, [TE] teffects intro, [TE] teffects intro advanced, [TE] teffects aipw, [TE] teffects ipw, [TE] teffects ipwra, [TE] teffects nnmatch, [TE] teffects overlap, [TE] teffects postestimation, [TE] teffects psmatch, [TE] teffects ra, [TE] Glossary, [U] 12 Data, [U] 20 Estimation and postestimation commands, [U] 26.4 Structural equation modeling (SEM), [U] 26.17 Models with time-series data, [U] 26.18 Panel-data models, [U] 26.19 Multilevel mixed-effects models, [U] 26.20 Survival-time (failure-time) models, [U] 26.21 Treatment-effect models, [U] 26.24 Survey data, [U] 26.26 Multivariate and cluster analysis observational 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] Glossary observations, built-in counter variable, [U] 11.3 Naming conventions complete and incomplete, [MI] Glossary creating dataset of, [D] collapse dropping, [D] drop dropping duplicate, [D] duplicates duplicating, [D] expand duplicating, clustered, [D] expandcl identifying duplicate, [D] duplicates increasing number of, [D] obs marking, [P] mark maximum number of, [D] memory, [U] 6 Managing memory ordering, [D] gsort, [D] sort transposing with variables, [D] xpose observed information matrix, [R] ml, [R] vce option, [SEM] Glossary, [XT] vce options observed level of significance, see p-value observed variables, [SEM] intro 4, [SEM] Glossary Ochiai coefficient similarity measure, [MV] measure option
Subject index 69 ocloglog option, see gsem option ocloglog odbc describe command, [D] odbc exec() command, [D] odbc insert command, [D] odbc list command, [D] odbc load command, [D] odbc query command, [D] odbc sqlfile() command, [D] odbc ODBC data source, reading data from, [D] odbc, [U] 21.4 Transfer programs, [U] 21.5 ODBC sources odbcmgr, set subcommand, [D] odbc, [R] set odds, [PSS] Glossary, [ST] Glossary odds ratio, [ME] meglm, [ME] melogit, [ME] meologit, [ME] meqrlogit, [PSS] intro, [PSS] power, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] Glossary, [R] eform option, [ST] epitab, [ST] Glossary, [SVY] svy estimation, [XT] xtcloglog, [XT] xtgee, [XT] xtlogit, [XT] xtologit differences, [SVY] svy postestimation estimation, [R] asclogit, [R] binreg, [R] clogit, [R] cloglog, [R] exlogistic, [R] glm, [R] glogit, [R] logistic, [R] logit, [R] mlogit, [R] scobit postestimation, [R] contrast, [R] exlogistic postestimation, [R] lincom OEx, [SEM] sem and gsem option covstructure( ) off, cmdlog subcommand, [R] log log subcommand, [R] log timer subcommand, [P] timer Office Open XML, [M-5] docx*( ) Office, Microsoft, see Microsoft Office offset between axes and data, setting, [G-3] region options offset variable, [ST] Glossary offset() option, see gsem option offset() ograph, irf subcommand, [TS] irf ograph OIM, see observed information matrix oim, see gsem option vce(), see sem option vce() OLDPLACE directory, [P] sysdir, [U] 17.5 Where does Stata look for ado-files? OLE Automation, [P] automation ologit command, [R] ologit, [R] ologit postestimation ologit option, see gsem option ologit ologit regression, mixed-effects, [ME] meologit OLS regression, see linear regression omitted variables test, [R] regress postestimation, also see specification test on, cmdlog subcommand, [R] log log subcommand, [R] log timer subcommand, [P] timer onecorrelation, power subcommand, [PSS] power onecorrelation one-level model, [ME] me, [ME] Glossary onemean, power subcommand, [PSS] power onemean oneproportion, power subcommand, [PSS] power oneproportion one-sample correlation, see correlations, one-sample one-sample mean, see means, one-sample one-sample proportion, see proportions, one-sample one-sample standard deviation, see standard deviations, one-sample one-sample study, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] power oneproportion, [PSS] power onevariance, [PSS] power onecorrelation, [PSS] unbalanced designs one-sample test, [PSS] intro, [PSS] power, [PSS] power onemean, [PSS] power oneproportion, [PSS] power onevariance, [PSS] power onecorrelation, [PSS] Glossary correlation, [PSS] intro, [PSS] power, [PSS] power onecorrelation, [PSS] Glossary mean, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] power, table, [PSS] power onemean, [PSS] unbalanced designs, [PSS] Glossary proportion, [PSS] intro, [PSS] power, [PSS] power oneproportion, [PSS] Glossary variance, [PSS] intro, [PSS] power, [PSS] power onevariance, [PSS] Glossary one-sample variance, see variances, one-sample one-sided test, [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] Glossary lower, [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] Glossary upper, [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] Glossary one-step-ahead forecast, see static forecast one-tailed test, see one-sided test onevariance, power subcommand, [PSS] power onevariance one-way analysis of variance, [PSS] power, [PSS] power oneway, [PSS] Glossary, [R] kwallis, [R] loneway, [R] oneway oneway command, [R] oneway
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 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: Subject index 67 nonparametric anal
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?