06.03.2015 Views

Stata Quick Reference and Index

Stata Quick Reference and Index

Stata Quick Reference and Index

SHOW MORE
SHOW LESS

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

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Subject index 103<br />

describe, continued<br />

mi subcomm<strong>and</strong>, [MI] mi describe<br />

net subcomm<strong>and</strong>, [R] net<br />

odbc subcomm<strong>and</strong>, [D] odbc<br />

ssc subcomm<strong>and</strong>, [R] ssc<br />

describe, [M-3] mata describe<br />

describe comm<strong>and</strong>, [D] describe, [U] 12.6 Dataset,<br />

variable, <strong>and</strong> value labels<br />

describing graph, [G] graph describe<br />

describing mi data, [MI] mi describe<br />

descriptive statistics,<br />

creating dataset containing, [D] collapse<br />

creating variables containing, [D] egen<br />

displaying, [D] codebook, [D] pctile, [R] ameans,<br />

[R] lv, [R] mean, [R] proportion, [R] ratio,<br />

[R] summarize, [R] table, [R] tabstat,<br />

[R] tabulate, summarize(), [R] total,<br />

[XT] xtsum, [XT] xttab<br />

design effects, [R] loneway, [SVY] estat,<br />

[SVY] Glossary, [SVY] svy: tabulate oneway,<br />

[SVY] svy: tabulate twoway<br />

design matrix, [M-5] designmatrix( ), [M-5] I( )<br />

designmatrix() function, [M-5] designmatrix( )<br />

destring comm<strong>and</strong>, [D] destring<br />

destroy() class function, [M-2] class<br />

destructor, [M-2] class<br />

destructors, class, [P] class<br />

det() function, [D] functions, [M-5] det( ), [P] matrix<br />

define<br />

determinant of matrix, [M-5] det( ), [P] matrix define<br />

dettriangular() function, [M-5] det( )<br />

deviance residual, [R] binreg postestimation,<br />

[R] fracpoly postestimation, [R] glm<br />

postestimation, [R] logistic postestimation,<br />

[R] logit postestimation, [R] mfp<br />

postestimation, [ST] stcox postestimation,<br />

[ST] streg postestimation<br />

deviation cross product, [M-5] crossdev( ),<br />

[M-5] quadcross( )<br />

dexponential, tssmooth subcomm<strong>and</strong>,<br />

[TS] tssmooth dexponential<br />

dfactor comm<strong>and</strong>, [TS] dfactor<br />

DFBETA, [ST] Glossary, [ST] stcox postestimation<br />

dfbeta comm<strong>and</strong>, [R] regress postestimation<br />

DFBETAs, [R] regress postestimation<br />

dfgls comm<strong>and</strong>, [TS] dfgls<br />

DFITS, [R] regress postestimation<br />

DFP algorithm, see Davidon–Fletcher–Powell algorithm<br />

dfuller comm<strong>and</strong>, [TS] dfuller<br />

dgammapda() function, [D] functions, [M-5] normal( )<br />

dgammapdada() function, [D] functions,<br />

[M-5] normal( )<br />

dgammapdadx() function, [D] functions,<br />

[M-5] normal( )<br />

dgammapdx() function, [D] functions, [M-5] normal( )<br />

dgammapdxdx() function, [D] functions,<br />

[M-5] normal( )<br />

dhms() function, [D] dates <strong>and</strong> times, [D] functions,<br />

[M-5] date( )<br />

diag() function, [M-5] diag( )<br />

diag() function, [D] functions, [M-5] diag( ),<br />

[P] matrix define<br />

diag0cnt() function, [D] functions, [M-5] diag0cnt( ),<br />

[P] matrix define<br />

diagnostic codes, [D] icd9<br />

diagnostic plots, [G] graph other, [R] diagnostic<br />

plots, [R] logistic postestimation, [R] regress<br />

postestimation<br />

diagnostics, regression, [R] regress postestimation<br />

diagonal, [M-5] diagonal( ), [M-6] Glossary<br />

diagonal() function, [M-5] diagonal( )<br />

diagonal matrix, [M-5] diag( ), [M-5] diag( ),<br />

[M-5] diagonal( ), [M-5] isdiagonal( ),<br />

[M-6] Glossary<br />

diagonal vech GARCH model, [TS] dvech<br />

diagonals of matrices, [P] matrix define<br />

dialog<br />

box, [P] dialog programming, [P] window<br />

programming, [R] db<br />

programming, [P] dialog programming, [P] window<br />

programming<br />

Dice coefficient similarity measure,<br />

[MV] measure option<br />

dichotomous outcome model, [R] exlogistic,<br />

[R] logistic; [R] asclogit, [R] binreg,<br />

[R] biprobit, [R] brier, [R] clogit, [R] cloglog,<br />

[R] cusum, [R] glm, [R] glogit, [R] heckprob,<br />

[R] hetprob, [R] ivprobit, [R] logit, [R] probit,<br />

[R] rocfit, [R] scobit, [XT] xtcloglog,<br />

[XT] xtgee, [XT] xtlogit, [XT] xtprobit<br />

Dickey–Fuller test, [TS] dfgls, [TS] dfuller<br />

dictionaries, [M-5] asarray( ); [D] infile, [D] infile<br />

(fixed format), [D] infix (fixed format),<br />

[D] outfile<br />

diff(), egen function, [D] egen<br />

difference of estimated coefficients, see linear<br />

combinations of estimators<br />

difference operator, [TS] Glossary, [U] 11.4.4 Timeseries<br />

varlists<br />

differentiation, [M-5] deriv( )<br />

difficult option, [R] maximize<br />

digamma() function, [D] functions, [M-5] factorial( )<br />

digits, controlling the number displayed, [D] format,<br />

[U] 12.5 Formats: Controlling how data are<br />

displayed<br />

dilation, [MV] Glossary<br />

dimension, [MV] Glossary<br />

dir() function, [M-5] dir( )<br />

dir,<br />

ado subcomm<strong>and</strong>, [R] net<br />

classutil subcomm<strong>and</strong>, [P] classutil<br />

cluster subcomm<strong>and</strong>, [MV] cluster utility<br />

estimates subcomm<strong>and</strong>, [P] estimates<br />

estimates subcomm<strong>and</strong>, [R] estimates store<br />

graph subcomm<strong>and</strong>, [G] graph dir<br />

label subcomm<strong>and</strong>, [D] label

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!