Subject index - Stata
Subject index - Stata
Subject index - Stata
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
<strong>Subject</strong> <strong>index</strong> 11<br />
char, continued<br />
macro extended function, [P] macro<br />
rename command, [P] char<br />
char() function, [D] functions, [M-5] ascii( )<br />
char(#), display directive, [P] display<br />
character<br />
data, see string variables<br />
variables, [D] infile (free format)<br />
characteristic roots, [M-5] eigensystem( )<br />
characteristics, [P] char, [U] 12.8 Characteristics,<br />
[U] 18.3.6 Extended macro functions,<br />
[U] 18.3.13 Referring to characteristics<br />
charset, set subcommand, [P] smcl, [R] set<br />
chdir command, [D] cd<br />
chdir() function, [M-5] chdir( )<br />
chdir() function, [M-5] chdir( )<br />
check,<br />
bcal subcommand, [D] bcal<br />
icd9 subcommand, [D] icd9<br />
icd9p subcommand, [D] icd9<br />
ml subcommand, [R] ml<br />
checkestimationsample command,<br />
[P] signestimationsample<br />
checking data, [D] assert<br />
checkpoint, [D] snapshot<br />
checksum command, [D] checksum<br />
checksum, set subcommand, [D] checksum, [R] set<br />
checksums of data, [D] checksum, [D] datasignature,<br />
[P] datasignature, [P] signestimationsample<br />
chi2() function, [D] functions, [M-5] normal( )<br />
chi2den() function, [D] functions, [M-5] normal( )<br />
chi2tail() function, [D] functions, [M-5] normal( )<br />
chi-squared<br />
density, [D] functions<br />
distribution,<br />
cumulative, [D] functions<br />
cumulative noncentral, [D] functions<br />
inverse cumulative, [D] functions<br />
inverse cumulative noncentral, [D] functions<br />
inverse reverse cumulative, [D] functions<br />
inverse reverse cumulative noncentral,<br />
[D] functions<br />
noncentral, [D] functions<br />
reverse cumulative, [D] functions<br />
reverse cumulative noncentral, [D] functions<br />
hypothesis test, [R] hausman, [R] lrtest, [R] sdtest,<br />
[R] tabulate twoway, [R] test, [R] testnl<br />
noncentrality parameter, [D] functions<br />
probability plot, [G-2] graph other, [R] diagnostic<br />
plots<br />
quantile plot, [G-2] graph other, [R] diagnostic<br />
plots<br />
test, [PSS] Glossary, [SEM] methods and formulas<br />
for sem<br />
test for marginal homogeneity, [R] symmetry<br />
test of independence, [R] tabulate twoway,<br />
[ST] epitab, [SVY] svy: tabulate twoway<br />
Chms() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
choice models, [ME] mecloglog, [ME] meglm,<br />
[ME] melogit, [ME] meologit, [ME] meoprobit,<br />
[ME] meprobit, [ME] meqrlogit, [R] asclogit,<br />
[R] asmprobit, [R] asroprobit, [R] clogit,<br />
[R] cloglog, [R] exlogistic, [R] glm,<br />
[R] glogit, [R] heckoprobit, [R] heckprobit,<br />
[R] hetprobit, [R] ivprobit, [R] logistic,<br />
[R] logit, [R] mlogit, [R] mprobit, [R] nlogit,<br />
[R] ologit, [R] oprobit, [R] probit, [R] rologit,<br />
[R] scobit, [R] slogit, [R] suest, [XT] xtgee,<br />
[XT] xtlogit, [XT] xtologit, [XT] xtoprobit,<br />
[XT] xtprobit<br />
Cholesky decomposition, [M-5] cholesky( ), [P] matrix<br />
define<br />
Cholesky ordering, [TS] Glossary<br />
cholesky() function, [M-5] cholesky( )<br />
cholesky() function, [D] functions, [M-5] cholesky( ),<br />
[P] matrix define<br />
cholinv() function, [M-5] cholinv( )<br />
cholinv() function, [M-5] cholinv( )<br />
cholsolve() function, [M-5] cholsolve( )<br />
cholsolve() function, [M-5] cholsolve( )<br />
chop() function, [D] functions<br />
Chow test, [R] anova, [R] contrast, [R] lrtest<br />
Christiano–Fitzgerald filter, [TS] tsfilter, [TS] tsfilter cf<br />
CI, see confidence interval<br />
ci and cii commands, [R] ci<br />
CI assumption, see conditional-independence<br />
assumption<br />
CIF, see cumulative incidence function<br />
class<br />
definition, [P] class<br />
instance, [P] class<br />
programming, [M-6] Glossary, [P] class<br />
programming utilities, [P] classutil<br />
class, [M-2] class<br />
class exit command, [P] class exit<br />
classes, [M-2] class<br />
classfunctions, estat subcommand, [MV] discrim<br />
lda postestimation<br />
classical scaling, [MV] Glossary<br />
classification, see cluster analysis, see discriminant<br />
analysis<br />
data, see receiver operating characteristic analysis<br />
function, [MV] discrim, [MV] discrim lda,<br />
[MV] discrim lda postestimation, [MV] discrim<br />
qda, [MV] discrim qda postestimation,<br />
[MV] Glossary<br />
interrater agreement, [R] kappa<br />
table, [MV] candisc, [MV] discrim, [MV] discrim<br />
estat, [MV] discrim knn, [MV] discrim<br />
knn postestimation, [MV] discrim lda,<br />
[MV] discrim lda postestimation, [MV] discrim<br />
logistic, [MV] discrim logistic postestimation,<br />
[MV] discrim qda, [MV] discrim qda<br />
postestimation, [MV] Glossary, [R] estat<br />
classification