Subject index - Stata
Subject index - Stata
Subject index - Stata
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<strong>Subject</strong> <strong>index</strong> 25<br />
direction of an effect,<br />
lower, [PSS] intro, [PSS] power, [PSS] Glossary<br />
upper, [PSS] intro, [PSS] power, [PSS] Glossary<br />
directional test, see one-sided test<br />
directories, [M-5] chdir( ), [M-5] dir( ),<br />
[M-5] direxists( ), [P] creturn,<br />
[U] 11.6 Filenaming conventions,<br />
[U] 18.3.11 Constructing Windows filenames<br />
by using macros<br />
changing, [D] cd<br />
creating, [D] mkdir<br />
listing, [D] dir<br />
location of ado-files, [U] 17.5 Where does <strong>Stata</strong><br />
look for ado-files?<br />
removing, [D] rmdir<br />
directory, class, [P] classutil<br />
direxists() function, [M-5] direxists( )<br />
direxternal() function, [M-5] direxternal( )<br />
discard command, [P] discard,<br />
[U] 18.11.3 Debugging ado-files<br />
discard, relationship to graph drop, [G-2] graph<br />
drop<br />
discordant<br />
pairs, [PSS] power, [PSS] power<br />
pairedproportions, [PSS] Glossary<br />
proportion, [PSS] power, [PSS] power<br />
pairedproportions, [PSS] Glossary<br />
discrete option, [G-2] graph twoway histogram<br />
discrete survival data, [ST] discrete<br />
discrim<br />
knn command, [MV] discrim, [MV] discrim<br />
estat, [MV] discrim knn, [MV] discrim knn<br />
postestimation<br />
lda command, [MV] discrim, [MV] discrim<br />
estat, [MV] discrim lda, [MV] discrim lda<br />
postestimation<br />
logistic command, [MV] discrim, [MV] discrim<br />
estat, [MV] discrim logistic, [MV] discrim<br />
logistic postestimation<br />
qda command, [MV] discrim, [MV] discrim<br />
estat, [MV] discrim qda, [MV] discrim qda<br />
postestimation<br />
discriminant analysis, [MV] candisc, [MV] discrim,<br />
[MV] discrim knn, [MV] discrim lda,<br />
[MV] discrim logistic, [MV] discrim qda,<br />
[MV] Glossary<br />
loading plot, [MV] scoreplot<br />
score plot, [MV] scoreplot<br />
discriminant function, [MV] discrim, [MV] discrim<br />
lda, [MV] discrim lda postestimation,<br />
[MV] Glossary<br />
discriminating variables, [MV] Glossary<br />
disparity, [MV] Glossary<br />
dispersion, measures of, [D] pctile, [XT] xtsum, see<br />
standard deviations, displaying, see variance,<br />
displaying, see percentiles, displaying, see range<br />
of data<br />
display<br />
as error, [M-5] displayas( ), [M-5] errprintf( )<br />
as text, as result, etc., [M-5] displayas( )<br />
formats, [D] describe, [D] format, [P] macro,<br />
[U] 12.5 Formats: Controlling how data are<br />
displayed, [U] 24.3 Displaying dates and times<br />
graph, [G-2] graph display<br />
settings, [R] set showbaselevels<br />
width and length, [R] log<br />
display,<br />
ereturn subcommand, [P] ereturn<br />
graph subcommand, [G-2] graph display<br />
ml subcommand, [R] ml<br />
display command, [P] display, [P] macro,<br />
[U] 19.1.2 A list of the immediate commands<br />
as a calculator, [R] display<br />
display macro extended function, [P] display<br />
display() function, [M-5] display( )<br />
displayas() function, [M-5] displayas( )<br />
displayflush() function, [M-5] displayflush( )<br />
displaying, also see printing, logs (output)<br />
contents, [D] describe<br />
data, [D] edit, [D] list<br />
files, [D] type<br />
long strings, see string variables, long<br />
macros, [P] macro<br />
matrix, [P] matrix utility<br />
named graphs, [G-2] graph display, [G-2] graph<br />
use<br />
output, [P] display, [P] quietly, [P] smcl,<br />
[P] tabdisp<br />
previously typed lines, [R] #review<br />
scalar expressions, [P] display, [P] scalar<br />
stored results, [R] stored results<br />
dissimilarity, [MV] Glossary<br />
matrix, [MV] matrix dissimilarity, [MV] Glossary,<br />
[P] matrix dissimilarity<br />
measures,<br />
[MV] cluster, [MV] cluster programming<br />
utilities, [MV] matrix dissimilarity, [MV] mds,<br />
[MV] measure option, [P] matrix dissimilarity<br />
absolute value, [MV] measure option<br />
Bray and Curtis, [MV] clustermat<br />
Canberra, [MV] measure option<br />
Euclidean, [MV] measure option<br />
Gower, [MV] measure option<br />
maximum value, [MV] measure option<br />
Minkowski, [MV] measure option<br />
dissimilarity, matrix subcommand, [MV] matrix<br />
dissimilarity, [P] matrix dissimilarity<br />
distance matrices, [MV] matrix dissimilarity,<br />
[P] matrix dissimilarity<br />
distances, see dissimilarity measures<br />
distances, estat subcommand, [MV] ca<br />
postestimation<br />
distribution functions, [M-5] normal( )<br />
distributional diagnostic plots, [G-2] graph other