Stata Quick Reference and Index

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10 Graph schemes [G] schemes intro . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction to schemes [G] scheme economist . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scheme description: economist [G] scheme s1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scheme description: s1 family [G] scheme s2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scheme description: s2 family [G] scheme sj . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scheme description: sj Graph concepts [G] concept: gph files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Using gph files [G] concept: lines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Using lines [G] concept: repeated options . . . . . . . . . . . . . . . . . . . . . Interpretation of repeated options [G] text . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Text in graphs Statistics ANOVA and related [U] Chapter 26 . . . . . . . . . . . . . . . . . . . . . . . . . . . Overview of Stata estimation commands [R] anova . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Analysis of variance and covariance [R] loneway . . . . . . . . . . . . . . . . . . Large one-way ANOVA, random effects, and reliability [MV] manova . . . . . . . . . . . . . . . . . . . . . . . . Multivariate analysis of variance and covariance [R] oneway . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . One-way analysis of variance [R] pkcross . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Analyze crossover experiments [R] pkshape . . . . . . . . . . . . . . . . . . . . . . . . . . . Reshape (pharmacokinetic) Latin-square data [R] regress . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Linear regression [XT] xtmixed . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multilevel mixed-effects linear regression [XT] xtreg . . Fixed-, between-, and random-effects, and population-averaged linear models Basic statistics [R] anova . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Analysis of variance and covariance [R] bitest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Binomial probability test [R] ci . . . . . . . . . . . . . . . . . . . . . . Confidence intervals for means, proportions, and counts [R] correlate . . . . . . . . . . . . . . . . . . . Correlations (covariances) of variables or coefficients [D] egen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Extensions to generate [R] mean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimate means [R] misstable . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tabulate missing values [MV] mvtest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multivariate tests [R] oneway . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . One-way analysis of variance [R] proportion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimate proportions [R] prtest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . One- and two-sample tests of proportions [R] ranksum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Equality tests on unmatched data [R] ratio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimate ratios [R] regress . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Linear regression [R] sampsi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sample size and power determination [R] sdtest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Variance-comparison tests [R] signrank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Equality tests on matched data [D] statsby . . . . . . . . . . . . . . . . . . . . . . . . . Collect statistics for a command across a by list [R] summarize . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Summary statistics [R] table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tables of summary statistics [R] tabstat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Display table of summary statistics
11 [R] tabulate oneway . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . One-way tables of frequencies [R] tabulate twoway . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Two-way tables of frequencies [R] tabulate, summarize() . . . . . . . . . . . . . . One- and two-way tables of summary statistics [R] total . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimate totals [R] ttest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mean-comparison tests Binary outcomes [U] Chapter 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation and postestimation commands [U] Section 26.5 . . . . . . . . . . . . . . . Binary-outcome qualitative dependent-variable models [R] binreg . . . . . . . . . . . . . . Generalized linear models: Extensions to the binomial family [R] biprobit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bivariate probit regression [R] cloglog . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Complementary log-log regression [R] exlogistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exact logistic regression [R] glogit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Logit and probit regression for grouped data [R] heckprob . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Probit model with sample selection [R] hetprob . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Heteroskedastic probit model [R] ivprobit . . . . . . . . . . . . . . . . . . . . Probit model with continuous endogenous regressors [R] logistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Logistic regression, reporting odds ratios [R] logit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Logistic regression, reporting coefficients [R] probit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Probit regression [R] scobit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Skewed logistic regression [XT] xtcloglog . . . . . . . . . . . . . . . . Random-effects and population-averaged cloglog models [XT] xtlogit . . . . . . . . . Fixed-effects, random-effects, and population-averaged logit models [XT] xtmelogit . . . . . . . . . . . . . . . . . . . . . . . . . . . Multilevel mixed-effects logistic regression [XT] xtprobit . . . . . . . . . . . . . . . . . . Random-effects and population-averaged probit models Categorical outcomes [U] Chapter 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation and postestimation commands [U] Section 26.7 . . . . . . . . . . . . . . Multiple-outcome qualitative dependent-variable models [R] asclogit . . . . . . . . . . Alternative-specific conditional logit (McFadden’s choice) model [R] asmprobit . . . . . . . . . . . . . . . . . . . . . Alternative-specific multinomial probit regression [R] clogit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Conditional (fixed-effects) logistic regression [R] mlogit . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multinomial (polytomous) logistic regression [R] mprobit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multinomial probit regression [R] nlogit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nested logit regression [R] slogit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Stereotype logistic regression Cluster analysis [U] Section 26.21 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multivariate and cluster analysis [MV] cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction to cluster-analysis commands [MV] cluster dendrogram . . . . . . . . . . . . . . . . . Dendrograms for hierarchical cluster analysis [MV] cluster generate . . . Generate summary or grouping variables from a cluster analysis [MV] cluster kmeans and kmedians . . . . . . . . . . . . . . Kmeans and kmedians cluster analysis [MV] cluster linkage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hierarchical cluster analysis [MV] cluster notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Place notes in cluster analysis [MV] cluster programming subroutines . . . . . . . . . . . . . . . . . . . Add cluster-analysis routines [MV] cluster programming utilities . . . . . . . . . . . . . . . Cluster-analysis programming utilities [MV] cluster stop . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cluster-analysis stopping rules [MV] cluster utility . . . . . . . . . . . . . . . . . . . . . . List, rename, use, and drop cluster analyses
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 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 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 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]
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Author index 69 Green, P. E., [MV]
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Author index 71 Hipel, K. W., [TS]
Page 77 and 78:
Author index 73 Klein, J. P., [ST]
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Author index 75 Lu, J. Y., [TS] pra
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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
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Author index 83 ter Bogt, T., [MV]
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Author index 85 Wichern, D. W., con
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Subject index 87 Subject index ! (n
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Subject index 89 args command, [P]
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Subject index 91 bias corrected and
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Subject index 93 c(minbyte) c-class
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Subject index 95 choice models, con
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Subject index 97 cointegration, con
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Subject index 99 constrained estima
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Subject index 101 cumsp command, [T
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Subject index 103 describe, continu
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Subject index 105 DLL, [P] plugin D
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Subject index 107 end-of-line chara
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Subject index 109 estat, continued
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Subject index 111 FEVD, [TS] Glossa
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Subject index 113 fsave, window sub
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Subject index 115 graph, continued
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Subject index 117 Harrell’s C, [S
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Subject index 119 Im-Pesaran-Shin t
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Subject index 121 invfft() function
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Subject index 123 label values, [P]
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Subject index 125 loading, [MV] Glo
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Subject index 127 markers, [G] mark
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Subject index 129 mband, graph twow
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Subject index 131 missing data, [MI
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Subject index 133 mvdecode command,
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Subject index 135 number to string
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Subject index 137 parameter trace f
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Subject index 139 polytomous logist
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Subject index 141 proportions, [R]
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Subject index 143 rc built-in varia
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Subject index 145 return, [M-2] ret
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Subject index 147 RVI, see relative
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Subject index 149 set, continued fa
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Subject index 151 Sneath and Sokel
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Subject index 153 Stata, continued
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Subject index 155 stset command for
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Subject index 157 svy: truncreg com
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Subject index 159 tests, continued
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Subject index 161 truncating real n
Page 167 and 168:
Subject index 163 variables, contin
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Subject index 165 weights, continue
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