Stata Quick Reference and Index
Stata Quick Reference and Index
Stata Quick Reference and Index
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104 Subject index<br />
dir, continued<br />
macro subcomm<strong>and</strong>, [P] macro<br />
matrix subcomm<strong>and</strong>, [P] matrix utility<br />
postutil subcomm<strong>and</strong>, [P] postfile<br />
program subcomm<strong>and</strong>, [P] program<br />
return subcomm<strong>and</strong>, [P] return<br />
serset subcomm<strong>and</strong>, [P] serset<br />
dir comm<strong>and</strong>, [D] dir<br />
dir macro extended function, [P] macro<br />
direct st<strong>and</strong>ardization, [R] dstdize, [R] mean,<br />
[R] proportion, [R] ratio, [SVY] direct<br />
st<strong>and</strong>ardization, [SVY] Glossary<br />
directories, [M-5] chdir( ), [M-5] dir( ),<br />
[M-5] direxists( ), [U] 11.6 File-naming<br />
conventions, [U] 18.3.11 Constructing Windows<br />
filenames 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 />
directories <strong>and</strong> paths, [P] creturn<br />
directory, class, [P] classutil<br />
direxists() function, [M-5] direxists( )<br />
direxternal() function, [M-5] direxternal( )<br />
discard<br />
comm<strong>and</strong>, [P] discard, [U] 18.11.3 Debugging<br />
ado-files<br />
discard, relationship to graph drop, [G] graph drop<br />
discrete option, [G] graph twoway histogram<br />
discrete survival data, [ST] discrete<br />
discrim<br />
knn comm<strong>and</strong>, [MV] discrim, [MV] discrim knn<br />
lda comm<strong>and</strong>, [MV] discrim, [MV] discrim lda<br />
logistic comm<strong>and</strong>, [MV] discrim, [MV] discrim<br />
logistic<br />
qda comm<strong>and</strong>, [MV] discrim, [MV] discrim qda<br />
discriminant analysis, [MV] c<strong>and</strong>isc, [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] Glossary<br />
discriminating variables, [MV] Glossary<br />
disparity, [MV] Glossary<br />
dispersion, measures of, [D] pctile, [R] summarize,<br />
[R] table, [XT] xtsum; [R] centile, [R] lv<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 <strong>and</strong> times<br />
graph, [G] graph display<br />
saved results, [R] saved results<br />
width <strong>and</strong> length, [R] log<br />
display() function, [M-5] display( )<br />
display,<br />
ereturn subcomm<strong>and</strong>, [P] ereturn<br />
graph subcomm<strong>and</strong>, [G] graph display<br />
ml subcomm<strong>and</strong>, [R] ml<br />
display comm<strong>and</strong>, [P] display, [U] 19.1.2 A list of<br />
the immediate comm<strong>and</strong>s; [P] macro<br />
as a calculator, [R] display<br />
display macro extended function, [P] 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 />
macros, [P] macro<br />
matrix, [P] matrix utility<br />
named graphs, [G] graph display, [G] graph use<br />
output, [P] display, [P] quietly, [P] smcl,<br />
[P] tabdisp<br />
previously typed lines, [R] #review<br />
saved results, [R] saved results<br />
scalar expressions, [P] display, [P] scalar<br />
dissimilarity, [MV] Glossary<br />
matrices, [MV] Glossary, [MV] matrix<br />
dissimilarity, [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 <strong>and</strong> 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 subcomm<strong>and</strong>, [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 subcomm<strong>and</strong>, [MV] ca<br />
postestimation<br />
distribution functions, [M-5] normal( )<br />
distributional diagnostic plots, [G] graph other<br />
distributions,<br />
diagnostic plots, [R] diagnostic plots<br />
examining, [D] pctile, [R] ameans, [R] centile,<br />
[R] kdensity, [R] lv, [R] mean, [R] stem,<br />
[R] summarize, [R] total<br />
testing equality of, [R] ksmirnov, [R] kwallis,<br />
[R] ranksum, [R] signrank<br />
testing for normality, [MV] mvtest normality,<br />
[R] sktest, [R] swilk<br />
disturbance term, [XT] Glossary<br />
division, [M-2] op arith, [M-2] op colon<br />
division operator, see arithmetic operators<br />
divisive hierarchical clustering methods, [MV] Glossary