Stata Quick Reference and Index

More documents

Recommendations

Info

134 Subject index newsletter, [U] 3 Resources for learning and using Stata Newton–Raphson algorithm, [M-5] moptimize( ), [M-5] optimize( ), [R] ml Neyman allocation, [SVY] estat nFden() function, [D] functions, [M-5] normal( ) nFtail() function, [D] functions, [M-5] normal( ) NHANES data, [MI] mi export nhanes1, [MI] mi import nhanes1 nibeta() function, [D] functions, [M-5] normal( ) nl, tssmooth subcommand, [TS] tssmooth nl nl command, [R] nl, [R] nl postestimation, also see postestimation command nlcom command, [R] nlcom, [SVY] svy postestimation nlogit command, [R] nlogit, [R] nlogit postestimation, also see postestimation command nlogitgen command, [R] nlogit nlogittree command, [R] nlogit nlsur command, [R] nlsur, [R] nlsur postestimation, also see postestimation command nobreak command, [P] break nodraw option, [G] nodraw option noisily prefix, [P] quietly nolog or log option, [R] maximize noncentral beta density, [D] functions beta distribution, [D] functions chi-squared distribution function, [D] functions F density, [D] functions F distribution, [D] functions nonconformities, quality control, [R] qc nonconstant variance, see robust, Huber/White/sandwich estimator of variance nonlinear combinations, predictions, and tests, [SVY] svy postestimation combinations of estimators, [R] nlcom estimation, [TS] arch least squares, [R] nl, [SVY] svy estimation predictions, [R] predictnl regression, [R] boxcox, [R] nl, [R] nlsur smoothing, [TS] tssmooth nl tests, see estimation, tests after nonmetric scaling, [MV] Glossary nonmissing() function, [M-5] missing( ) nonparametric estimation, [R] lpoly nonparametric methods, [MV] Glossary nonparametric test, equality of survivor functions, [ST] sts test nonparametric tests, association, [R] spearman equality of distributions, [R] ksmirnov, [R] kwallis, [R] ranksum, [R] signrank medians, [R] ranksum proportions, [R] bitest, [R] prtest percentiles, [R] centile ROC analysis, [R] roc nonparametric tests, continued serial independence, [R] runtest tables, [R] tabulate twoway trend, [R] cusum, [R] nptrend nonrtolerance option, [R] maximize nonstationary time series, [TS] dfgls, [TS] dfuller, [TS] pperron, [TS] vec, [TS] vec intro nopreserve option, [P] nopreserve option norm, [M-6] Glossary norm() function, [M-5] norm( ) normal() function, [D] functions, [M-5] normal( ) normal distribution and normality, bivariate, [D] functions cdf, [D] functions density, [D] functions examining distributions for, [R] diagnostic plots, [R] lv generating multivariate data, [D] corr2data, [D] drawnorm inverse, [D] functions probability and quantile plots, [R] diagnostic plots test for, [R] sktest, [R] swilk transformations to achieve, [R] boxcox, [R] ladder, [R] lnskew0 normal probability plots, [G] graph other normalden() function, [D] functions, [M-5] normal( ) normality, mvtest subcommand, [MV] mvtest normality normality test after VAR or SVAR, [TS] varnorm after VEC, [TS] vecnorm normalization, [MV] Glossary normally distributed random numbers, [D] functions not equal operator, [U] 13.2.3 Relational operators not operator, [U] 13.2.4 Logical operators note() option, [G] title options notes, cluster analysis, [MV] cluster notes creating, [D] varmanage editing, [D] varmanage notes, cluster subcommand, [MV] cluster notes estimates subcommand, [R] estimates notes notes command, [D] notes notes on estimation results, [R] estimates notes notifyuser, set subcommand, [R] set noupdate option, [MI] noupdate option novarabbrev command, [P] varabbrev NPARCH, [TS] arch npnchi2() function, [D] functions, [M-5] normal( ) nptrend command, [R] nptrend NR algorithm, see Newton–Raphson algorithm nrtolerance() option, [R] maximize NULL, [M-2] pointers, [M-6] Glossary nullmat() matrix function, [D] functions, [P] matrix define number, confirm subcommand, [P] confirm
Subject index 135 number to string conversion, see string functions, expressions, and operators, see string functions numbered styles, [G] linestyle, [G] markerlabelstyle, [G] markerstyle, [G] pstyle numbers, [U] 12.2 Numbers formatting, [D] format mapping to strings, [D] encode, [D] label numeric, [M-2] declarations, [M-6] Glossary numeric display formats, [I] format list, [P] numlist, [P] syntax, [U] 11.1.8 numlist 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 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] relativesize .objkey built-in class function, [P] class .objtype built-in class function, [P] class oblimax rotation, [MV] Glossary, [MV] rotate, [MV] rotatemat oblimin rotation, [MV] Glossary, [MV] rotate, [MV] rotatemat oblique rotation, [MV] factor postestimation, [MV] Glossary, [MV] rotate, [MV] rotatemat obs, set subcommand, [D] obs, [R] set obs parameter, [D] obs; [D] describe 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] describe, [D] memory, [U] 6 Setting the size of memory ordering, [D] sort; [D] gsort transposing with variables, [D] xpose observed information matrix, see OIM Ochiai coefficient similarity measure, [MV] measure option odbc command, [D] infile 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 odbcmgr, set subcommand, [R] set ODBC data source, reading data from, [D] odbc, [U] 21.4 Transfer programs, [U] 21.5 ODBC sources odds ratio, [R] asclogit, [R] asroprobit, [R] binreg, [R] clogit, [R] cloglog, [R] glm, [R] glogit, [R] logistic, [R] logit, [R] mlogit, [R] rologit, [R] scobit, [ST] epitab, [ST] Glossary, [SVY] svy estimation, [XT] xtcloglog, [XT] xtgee, [XT] xtlogit, [XT] xtnbreg, [XT] xtpoisson, [XT] xtprobit differences, [R] lincom, [R] nlcom, [SVY] svy postestimation off, timer subcommand, [P] timer offset between axes and data, setting, [G] region options variable, [ST] Glossary ograph, irf subcommand, [TS] irf ograph OIM, [R] ml, [R] vce option, [XT] vce options 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, also see postestimation command OLS regression, see linear regression omitted variables test, [R] regress postestimation on, timer subcommand, [P] timer one-level model, [XT] Glossary one-way analysis of variance, [R] kwallis, [R] loneway, [R] oneway oneway command, [R] oneway online help, [M-1] help, [M-3] mata help, [R] help, [R] hsearch, [R] search, [U] 4 Stata’s help and search facilities; [U] 7 –more– conditions opaccum, matrix subcommand, [P] matrix accum open, file subcommand, [P] file operating system command, [D] cd, [D] copy, [D] dir, [D] erase, [D] mkdir, [D] rmdir, [D] shell, [D] type operator, difference, [U] 11.4.4 Time-series varlists lag, [U] 11.4.4 Time-series varlists lead, [U] 11.4.4 Time-series varlists seasonal lag, [U] 11.4.4 Time-series varlists operators, [M-2] op arith, [M-2] op assignment, [M-2] op colon, [M-2] op conditional, [M-2] op increment, [M-2] op join, [M-2] op kronecker, [M-2] op logical, [M-2] op range, [M-2] op transpose, [M-6] Glossary, [P] matrix define,
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 14 and 15:
10 Graph schemes [G] schemes intro
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 36 and 37:
Page 38 and 39:
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 46 and 47:
Page 48 and 49:
Page 50 and 51:
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]
Page 73 and 74:
Author index 69 Green, P. E., [MV]
Page 75 and 76:
Author index 71 Hipel, K. W., [TS]
Page 77 and 78:
Author index 73 Klein, J. P., [ST]
Page 79 and 80:
Author index 75 Lu, J. Y., [TS] pra
Page 81 and 82:
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
Page 87 and 88: Author index 83 ter Bogt, T., [MV]
Page 89 and 90: Author index 85 Wichern, D. W., con
Page 91 and 92: Subject index 87 Subject index ! (n
Page 93 and 94: Subject index 89 args command, [P]
Page 95 and 96: Subject index 91 bias corrected and
Page 97 and 98: Subject index 93 c(minbyte) c-class
Page 99 and 100: Subject index 95 choice models, con
Page 101 and 102: 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: Subject index 133 mvdecode command,
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 and 154: Subject index 149 set, continued fa
Page 155 and 156: Subject index 151 Sneath and Sokel
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
show all

Stata Quick Reference and Index

Create successful ePaper yourself

Delete template?

Save as template?