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Subject index - Stata

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<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

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