Stata Quick Reference and Index

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150 Subject index showstep option, [R] maximize showtolerance option, [R] maximize shwinters, tssmooth subcommand, [TS] tssmooth shwinters Šidák multiple comparison test, [R] oneway sign() function, [D] functions, [M-5] dsign( ), [M-5] sign( ) signature of data, [D] datasignature, [P] datasignature, [P] signestimationsample signestimationsample command, [P] signestimationsample significance levels, [R] level, [R] query, [U] 20.7 Specifying the width of confidence intervals signrank command, [R] signrank signtest command, [R] signrank signum function, [D] functions similarity, [MV] Glossary matrices, [MV] matrix dissimilarity, [P] matrix dissimilarity measures, [MV] cluster programming utilities, [MV] cluster, [MV] matrix dissimilarity, [MV] measure option, [P] matrix dissimilarity Anderberg coefficient, [MV] measure option angular, [MV] measure option correlation, [MV] measure option Dice coefficient, [MV] measure option Gower coefficient, [MV] measure option Hamann coefficient, [MV] measure option Jaccard coefficient, [MV] measure option Kulczynski coefficient, [MV] measure option matching coefficient, [MV] measure option matrix, [MV] Glossary measure, [MV] Glossary Ochiai coefficient, [MV] measure option Pearson coefficient, [MV] measure option Rogers and Tanimoto coefficient, [MV] measure option Russell and Rao coefficient, [MV] measure option Sneath and Sokal coefficient, [MV] measure option Yule coefficient, [MV] measure option simulate prefix command, [R] simulate simulations, Monte Carlo, [P] postfile, [R] simulate; [R] permute simultaneous quantile regression, [R] qreg systems, [R] reg3 sin() function, [D] functions, [M-5] sin( ) sine function, [D] functions single-precision floating point number, [U] 12.2.2 Numeric storage types single-imputation methods, [MI] intro substantive singlelinkage, cluster subcommand, [MV] cluster linkage single-linkage clustering, [MV] cluster, [MV] cluster linkage, [MV] clustermat, [MV] Glossary singleton-group data, [ST] Glossary, [ST] stcox singleton strata, [SVY] estat, [SVY] variance estimation singular value decomposition, [MV] Glossary, [P] matrix svd; [M-5] svd( ), [M-5] fullsvd( ) sinh() function, [D] functions, [M-5] sin( ) SITE directory, [P] sysdir, [U] 17.5 Where does Stata look for ado-files? size, estat subcommand, [SVY] estat size of all text and markers, [G] scale option graph, [G] region options changing, [G] graph display markers, [G] marker options objects, [G] relativesize text, [G] textbox options sizeof() function, [M-5] sizeof( ) SJ, see Stata Journal and Stata Technical Bulletin sj, net subcommand, [R] net sj scheme, [G] scheme sj skew(), egen function, [D] egen skewed logistic regression, [R] scobit, [SVY] svy estimation skewness, [MV] mvtest normality, [R] summarize, [TS] varnorm; [R] lnskew0, [R] lv, [R] sktest, [R] tabstat skip(#), display directive, [P] display sktest command, [R] sktest sleep command, [P] sleep slogit command, [R] slogit, [R] slogit postestimation, also see postestimation command S macros, [P] creturn, [P] macro Small Stata, [U] 5 Flavors of Stata smallestdouble() function, [D] functions, [M-5] mindouble( ) smc, estat subcommand, [MV] factor postestimation, [MV] pca postestimation SMCL, see Stata Markup and Control Language SMCL tags, [G] text .smcl filename suffix, [U] 11.6 File-naming conventions smooth command, [R] smooth smoothers, [TS] Glossary, [TS] tssmooth, [TS] tssmooth dexponential, [TS] tssmooth exponential, [TS] tssmooth hwinters, [TS] tssmooth ma, [TS] tssmooth nl, [TS] tssmooth shwinters smoothfonts, set subcommand, [R] set smoothing, [G] graph twoway lpoly, [R] lpoly, [R] smooth smoothing graphs, [G] graph other, [R] kdensity, [R] lowess SMR, [ST] epitab, [ST] Glossary, [ST] stptime snapshot, [D] snapshot data, [ST] Glossary, [ST] snapspan, [ST] stset snapshot command, [D] snapshot snapspan command, [ST] snapspan
Subject index 151 Sneath and Sokel coefficient similarity measure, [MV] measure option soft missing value, [MI] Glossary solve AX=B, [M-4] solvers, [M-5] cholsolve( ), [M-5] lusolve( ), [M-5] qrsolve( ), [M-5] svsolve( ), [M-5] solvelower( ), [M-5] solve tol( ) solvelower() function, [M-5] solvelower( ) solvelower() function, [M-5] solvelower( ) solve tol() function, [M-5] solve tol( ) solvetolerance, [M-5] solve tol( ) solveupper() function, [M-5] solvelower( ) solveupper() function, [M-5] solvelower( ) sort() function, [M-5] sort( ) sort() function, [M-5] sort( ) sort, serset subcommand, [P] serset sort command, [D] sort sort option, [G] connect options sort order, [D] describe, [P] byable, [P] macro, [P] sortpreserve for strings, [U] 13.2.3 Relational operators sortedby macro extended function, [P] macro sortpreserve option, [P] sortpreserve soundex() function, [D] functions, [M-5] soundex( ) soundex nara() function, [D] functions, [M-5] soundex( ) source code, [M-1] how, [M-1] source, [M-6] Glossary view, [P] viewsource Spearman–Brown prophecy formula, [R] alpha spearman command, [R] spearman Spearman’s rho, [R] spearman specialized graphs, [G] graph other specification test, [R] boxcox, [R] hausman, [R] linktest, [R] regress postestimation, [XT] xtreg postestimation specificity, [MV] factor, [R] logistic spectral distribution, [TS] cumsp, [TS] Glossary, [TS] pergram spectral distribution plots, cumulative, [G] graph other spectrum, [TS] Glossary spell data, [ST] Glossary spherical covariance, [MV] mvtest covariances sphericity, [MV] Glossary Spiegelhalter’s Z statistic, [R] brier spike, graph twoway subcommand, [G] graph twoway spike spike plot, [R] spikeplot spikeplot command, [R] spikeplot spline3() function, [M-5] spline3( ) spline3eval() function, [M-5] spline3( ) splines linear, [R] mkspline restricted cubic, [R] mkspline split command, [D] split split-plot designs, [MV] manova, [R] anova splitting time-span records, [ST] stsplit S-Plus, reading data from, [U] 21.4 Transfer programs spread, [R] lv spreadsheets, transferring from Stata, [D] outfile, [D] outsheet, [D] xmlsave, [U] 21.4 Transfer programs into Stata, [D] infile, [D] infile (fixed format), [D] infile (free format), [D] insheet, [D] odbc, [D] xmlsave, [U] 21 Inputting data, [U] 21.4 Transfer programs sprintf() function, [M-5] printf( ) SPSS, reading data from, [U] 21.4 Transfer programs SQL, [D] odbc sqlfile(), odbc subcommand, [D] odbc sqreg command, [R] qreg, [R] qreg postestimation, also see postestimation command sqrt() function, [D] functions, [M-5] sqrt( ) square matrix, [M-6] Glossary root, [M-5] sqrt( ), [M-5] cholesky( ) root function, [D] functions squared multiple correlations, [MV] factor postestimation sreturn clear command, [P] return list command, [R] saved results local command, [P] return SRS, [SVY] Glossary ss() function, [D] dates and times, [D] functions, [M-5] date( ) ssC() function, [D] dates and times, [D] functions, [M-5] date( ) ssc copy command, [R] ssc describe command, [R] ssc hot command, [R] ssc install command, [R] ssc new command, [R] ssc type command, [R] ssc uninstall command, [R] ssc SSC archive, [R] ssc SSCP matrix, [MV] Glossary sspace command, [TS] sspace SSU, [SVY] Glossary st, mi subcommand, [MI] mi XXXset st addobs() function, [M-5] st addobs( ) st addobs() function, [M-5] st addobs( ) st addvar() function, [M-5] st addvar( ) st addvar() function, [M-5] st addvar( ) st commands for mi data, [MI] mi stsplit, [MI] mi XXXset st data, [ST] Glossary st data() function, [M-5] st data( ) st data() function, [M-5] st data( ) st dir() function, [M-5] st dir( ) st dropobsif() function, [M-5] st dropvar( ) st dropobsin() function, [M-5] st dropvar( ) st dropvar() function, [M-5] st dropvar( ) st eclear() function, [M-5] st rclear( ) st global() function, [M-5] st global( ) st isfmt() function, [M-5] st isfmt( )
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STATA QUICK REFERENCE AND INDEX REL
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i Table of contents Combined subjec
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2 Inputting and saving data [GS] Ch
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4 [D] changeeol . . . . . . . . . .
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6 [R] estimates title . . . . . . .
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8 [G] graph twoway lowess . . . . .
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10 Graph schemes [G] schemes intro
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12 [MV] clustermat . . . . . . . .
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14 [MV] scoreplot . . . . . . . . .
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16 [R] mprobit . . . . . . . . . .
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18 Nonparametric statistics [R] kde
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20 [R] predict . . . . . . . . . .
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22 [TS] tsreport . . . . . . . . .
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24 [P] fvexpand . . . . . . . . . .
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26 Mata [M] Mata Reference Manual .
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Title estimation commands — Quick
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30 estimation commands — Quick re
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Title format — Quick reference fo
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Title missing values — Quick refe
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40 postestimation commands — Quic
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Title prefix commands — Quick ref
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Title reading data — Quick refere
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Title Acronym glossary 2SIV 2SLS 3S
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Acronym glossary 55 IC ICD-9 IIA i.
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Acronym glossary 57 QDA QML rc RCT
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Vignettes index 59 Vignettes index
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Author index 61 Author index A Aale
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Author index 63 Blackburne III, E.
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Author index 65 Conover, W. J., [R]
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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]
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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
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Author index 79 Ponce de Leon, A.,
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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
Page 103 and 104: Subject index 99 constrained estima
Page 105 and 106: Subject index 101 cumsp command, [T
Page 107 and 108: Subject index 103 describe, continu
Page 109 and 110: Subject index 105 DLL, [P] plugin D
Page 111 and 112: Subject index 107 end-of-line chara
Page 113 and 114: Subject index 109 estat, continued
Page 115 and 116: Subject index 111 FEVD, [TS] Glossa
Page 117 and 118: Subject index 113 fsave, window sub
Page 119 and 120: Subject index 115 graph, continued
Page 121 and 122: Subject index 117 Harrell’s C, [S
Page 123 and 124: Subject index 119 Im-Pesaran-Shin t
Page 125 and 126: Subject index 121 invfft() function
Page 127 and 128: Subject index 123 label values, [P]
Page 129 and 130: Subject index 125 loading, [MV] Glo
Page 131 and 132: Subject index 127 markers, [G] mark
Page 133 and 134: Subject index 129 mband, graph twow
Page 135 and 136: Subject index 131 missing data, [MI
Page 137 and 138: Subject index 133 mvdecode command,
Page 139 and 140: Subject index 135 number to string
Page 141 and 142: Subject index 137 parameter trace f
Page 143 and 144: Subject index 139 polytomous logist
Page 145 and 146: Subject index 141 proportions, [R]
Page 147 and 148: Subject index 143 rc built-in varia
Page 149 and 150: Subject index 145 return, [M-2] ret
Page 151 and 152: Subject index 147 RVI, see relative
Page 153: Subject index 149 set, continued fa
Page 157 and 158: Subject index 153 Stata, continued
Page 159 and 160: Subject index 155 stset command for
Page 161 and 162: Subject index 157 svy: truncreg com
Page 163 and 164: Subject index 159 tests, continued
Page 165 and 166: Subject index 161 truncating real n
Page 167 and 168: Subject index 163 variables, contin
Page 169 and 170: Subject index 165 weights, continue
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