Subject index - Stata
Subject index - Stata
Subject index - Stata
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80 <strong>Subject</strong> <strong>index</strong><br />
quietly prefix, [P] quietly<br />
quit Mata, [M-3] end<br />
quitting <strong>Stata</strong>, see exit command<br />
quotes<br />
to delimit strings, [U] 18.3.5 Double quotes<br />
to expand macros, [P] macro, [U] 18.3.1 Local<br />
macros<br />
R<br />
R charts, [G-2] graph other<br />
R dates, [D] datetime<br />
r() function, [D] functions<br />
r() stored results, [P] discard, [P] return, [R] stored<br />
results, [U] 18.8 Accessing results calculated by<br />
other programs, [U] 18.10.1 Storing results in<br />
r()<br />
r(functions) macro extended function, [P] macro<br />
r(macros) macro extended function, [P] macro<br />
r(matrices) macro extended function, [P] macro<br />
r(scalars) macro extended function, [P] macro<br />
r1title() option, [G-3] title options<br />
r2title() option, [G-3] title options<br />
ra, teffects subcommand, [TE] teffects ra<br />
radians, [D] functions<br />
raise to a power function, [U] 13.2.1 Arithmetic<br />
operators<br />
Ramsey test, [R] regress postestimation<br />
random<br />
coefficient, [ME] Glossary<br />
intercept, [ME] Glossary, [SEM] example 38g<br />
number function, [D] functions, [D] generate<br />
numbers, [M-5] runiform( )<br />
numbers, normally distributed, [D] functions,<br />
[D] generate<br />
order, test for, [R] runtest<br />
sample, [D] sample, [R] bootstrap, [U] 21.3 If you<br />
run out of memory<br />
slope, [SEM] example 38g<br />
variates, [M-5] runiform( )<br />
walk, [TS] Glossary<br />
random-coefficients<br />
linear regression, [XT] xtrc<br />
model, [U] 26.18.6 Random-coefficients model with<br />
panel data, [XT] Glossary<br />
random-effects model, [ME] Glossary, [R] anova,<br />
[R] loneway, [SEM] example 38g,<br />
[SEM] Glossary, [XT] xtabond, [XT] xtcloglog,<br />
[XT] xtdpd, [XT] xtdpdsys, [XT] xtgee,<br />
[XT] xthtaylor, [XT] xtintreg, [XT] xtivreg,<br />
[XT] xtlogit, [XT] xtnbreg, [XT] xtologit,<br />
[XT] xtoprobit, [XT] xtpoisson, [XT] xtprobit,<br />
[XT] xtreg, [XT] xtregar, [XT] xttobit,<br />
[XT] Glossary<br />
multilevel mixed-effects models, [ME] me,<br />
[ME] mecloglog, [ME] meglm, [ME] melogit,<br />
[ME] menbreg, [ME] meologit,<br />
[ME] meoprobit, [ME] mepoisson,<br />
[ME] meprobit, [ME] meqrlogit,<br />
[ME] meqrpoisson, [ME] mixed<br />
randomized controlled trial study, [PSS] intro,<br />
[PSS] power, [PSS] power onemean,<br />
[PSS] power twomeans, [PSS] power<br />
pairedmeans, [PSS] power oneproportion,<br />
[PSS] power twoproportions, [PSS] power<br />
pairedproportions, [PSS] power onevariance,<br />
[PSS] power twovariances, [PSS] power<br />
onecorrelation, [PSS] power twocorrelations,<br />
[PSS] power oneway, [PSS] power twoway,<br />
[PSS] power repeated, [PSS] Glossary<br />
random-number generators, [P] version<br />
random-number seed, [MI] mi impute<br />
random-order test, [R] runtest<br />
range<br />
chart, [R] qc<br />
of data, [D] codebook, [D] inspect, [R] lv,<br />
[R] stem, [R] summarize, [R] table, [R] tabstat,<br />
[XT] xtsum<br />
operators, [M-2] op range<br />
plots, [G-3] rcap options<br />
spikes, [G-3] rspike options<br />
subscripts, see subscripts<br />
vector, [M-5] range( )<br />
range command, [D] range<br />
range() function, [M-5] range( )<br />
rangen() function, [M-5] range( )<br />
rank, [M-5] rank( ), [M-6] Glossary<br />
rank correlation, [R] spearman<br />
rank() function, [M-5] rank( )<br />
rank(), egen function, [D] egen<br />
ranking data, [R] rologit<br />
rank-order statistics, [D] egen, [R] signrank,<br />
[R] spearman<br />
rank-ordered logistic regression, see outcomes, rank<br />
ranks of observations, [D] egen<br />
ranksum command, [R] ranksum<br />
Rao’s canonical-factor method, [MV] factor<br />
rarea, graph twoway subcommand, [G-2] graph<br />
twoway rarea<br />
Rasch models, see item response theory<br />
rate ratio, [ST] epitab, [ST] stir, [ST] stptime,<br />
[ST] stsum, see incidence-rate ratio<br />
ratio command, [R] ratio, [R] ratio postestimation<br />
ratio of sample sizes, see allocation ratio<br />
ratios, estimating, [R] ratio<br />
ratios, survey data, [SVY] svy estimation,<br />
[SVY] svy: tabulate twoway<br />
raw data, [U] 12 Data<br />
.raw file, [U] 11.6 Filenaming conventions<br />
raw residuals, [SEM] methods and formulas for sem<br />
rbar, graph twoway subcommand, [G-2] graph<br />
twoway rbar<br />
rbeta() function, [D] functions, [M-5] runiform( )<br />
rbinomial() function, [D] functions,<br />
[M-5] runiform( )<br />
rc (return codes), see error messages and return codes<br />
rc built-in variable, [P] capture, [U] 13.4 System<br />
variables ( variables)