Subject index - Stata
Subject index - Stata
Subject index - Stata
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50 <strong>Subject</strong> <strong>index</strong><br />
Java, [P] java, [P] javacall<br />
JCA, see joint correspondence analysis<br />
Jeffreys noninformative prior, [MI] mi impute mvn<br />
jitter() option, [G-2] graph matrix, [G-2] graph<br />
twoway scatter<br />
jitterseed() option, [G-2] graph matrix,<br />
[G-2] graph twoway scatter<br />
join operator, [M-2] op join<br />
joinby command, [D] joinby, [U] 22 Combining<br />
datasets<br />
joining datasets, see combining datasets<br />
joining time-span records, [ST] stsplit<br />
joint correspondence analysis, [MV] mca, [MV] mca<br />
postestimation, [MV] Glossary<br />
joint normality, see normality, joint<br />
jumble() function, [M-5] sort( )<br />
jumble() function, [M-5] sort( )<br />
justification of text, [G-3] textbox options<br />
justificationstyle, [G-4] justificationstyle<br />
K<br />
Kaiser normalization, [MV] factor postestimation,<br />
[MV] pca postestimation, [MV] rotate,<br />
[MV] rotatemat<br />
Kaiser–Meyer–Olkin sampling adequacy, [MV] factor<br />
postestimation, [MV] pca postestimation,<br />
[MV] Glossary<br />
Kalman<br />
filter, [TS] arima, [TS] dfactor, [TS] dfactor<br />
postestimation, [TS] sspace, [TS] sspace<br />
postestimation, [TS] ucm, [TS] ucm<br />
postestimation, [TS] Glossary<br />
forecast, [TS] dfactor postestimation, [TS] sspace<br />
postestimation, [TS] ucm postestimation<br />
smoothing, [TS] dfactor postestimation,<br />
[TS] sspace postestimation, [TS] ucm<br />
postestimation<br />
kap command, [R] kappa<br />
Kaplan–Meier<br />
product-limit estimate, [ST] sts, [ST] sts generate,<br />
[ST] sts graph, [ST] sts list, [ST] sts test,<br />
[ST] Glossary<br />
survivor function, [ST] ltable, [ST] stcox PHassumption<br />
tests, [ST] sts<br />
kappa command, [R] kappa<br />
kapwgt command, [R] kappa<br />
kdensity command, [R] kdensity<br />
kdensity, graph twoway subcommand, [G-2] graph<br />
twoway kdensity<br />
keep command, [D] drop<br />
keeping variables or observations, [D] drop<br />
Kendall’s tau, [R] spearman, [R] tabulate twoway<br />
kernel density estimator, [R] kdensity<br />
kernel density smoothing, [G-2] graph other<br />
kernel-weighted local polynomial estimator, [R] lpoly<br />
keyboard<br />
entry, [U] 10 Keyboard use<br />
search, [U] 4 <strong>Stata</strong>’s help and search facilities<br />
keys, [G-3] clegend option, [G-3] legend options<br />
Kish design effects, [R] loneway, [SVY] estat<br />
Kmatrix() function, [M-5] Kmatrix( )<br />
kmeans, [MV] Glossary<br />
kmeans clustering, [MV] cluster, [MV] cluster kmeans<br />
and kmedians<br />
kmeans, cluster subcommand, [MV] cluster kmeans<br />
and kmedians<br />
kmedians, [MV] Glossary<br />
kmedians clustering, [MV] cluster, [MV] cluster<br />
kmeans and kmedians<br />
kmedians, cluster subcommand, [MV] cluster<br />
kmeans and kmedians<br />
KMO, see Kaiser–Meyer–Olkin sampling adequacy<br />
kmo, estat subcommand, [MV] factor postestimation,<br />
[MV] pca postestimation<br />
KNN, see kth-nearest neighbor<br />
knn, discrim subcommand, [MV] discrim knn<br />
Kolmogorov–Smirnov test, [R] ksmirnov<br />
KR-20, [MV] alpha<br />
Kronecker direct product, [D] cross,<br />
[M-2] op kronecker, [P] matrix define<br />
Kruskal stress, [MV] mds postestimation,<br />
[MV] Glossary<br />
Kruskal–Wallis test, [R] kwallis<br />
ksmirnov command, [R] ksmirnov<br />
ktau command, [R] spearman<br />
kth-nearest neighbor, [MV] discrim knn,<br />
[MV] Glossary<br />
Kuder–Richardson Formula 20, [MV] alpha<br />
Kulczynski coefficient similarity measure,<br />
[MV] measure option<br />
kurt(), egen function, [D] egen<br />
kurtosis, [MV] mvtest normality, [R] lv, [R] pksumm,<br />
[R] regress postestimation, [R] sktest,<br />
[R] summarize, [R] tabstat, [TS] varnorm,<br />
[TS] vecnorm<br />
kwallis command, [R] kwallis<br />
L<br />
L1-norm models, [R] qreg<br />
l1title() option, [G-3] title options<br />
l2title() option, [G-3] title options<br />
label<br />
command, [U] 12.6 Dataset, variable, and value<br />
labels<br />
copy command, [D] label<br />
data command, [D] label<br />
define command, [D] label<br />
dir command, [D] label<br />
drop command, [D] label<br />
language command, [D] label language<br />
list command, [D] label<br />
macro extended function, [P] macro<br />
save command, [D] label<br />
values command, [D] label<br />
variable command, [D] label