Subject index - Stata
Subject index - Stata
Subject index - Stata
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72 <strong>Subject</strong> <strong>index</strong><br />
panel data, [M-5] panelsetup( ), [MI] mi estimate,<br />
[U] 26.18 Panel-data models, [XT] Glossary<br />
panel-corrected standard error, [XT] xtpcse,<br />
[XT] Glossary<br />
panels, variable identifying, [XT] xtset<br />
panelsetup() function, [M-5] panelsetup( )<br />
panelstats() function, [M-5] panelsetup( )<br />
panelsubmatrix() function, [M-5] panelsetup( )<br />
panelsubview() function, [M-5] panelsetup( )<br />
Paradox, reading data from, [U] 21.4 Transfer<br />
programs<br />
parallel number list, [PSS] intro, [PSS] power,<br />
[PSS] power, graph, [PSS] power, table<br />
parameter constraints, [SEM] estat ginvariant,<br />
[SEM] Glossary<br />
parameter trace files, [MI] mi impute mvn, [MI] mi<br />
ptrace<br />
parameter values, obtaining symbolic names, see gsem<br />
option coeflegend, see sem option coeflegend<br />
parameterized curves, [D] range<br />
parameters, [SEM] Glossary<br />
combinations of, [SEM] lincom, [SEM] nlcom<br />
system, see system parameters<br />
parametric methods, [MV] Glossary<br />
parametric spectral density estimation, [TS] psdensity<br />
parametric survival models, [ST] streg, [SVY] svy<br />
estimation<br />
PARCH, see power autoregressive conditional<br />
heteroskedasticity<br />
parsedistance, cluster subcommand, [MV] cluster<br />
programming utilities<br />
parsimax rotation, [MV] rotate, [MV] rotatemat,<br />
[MV] Glossary<br />
parsing, [M-5] tokenget( ), [M-5] tokens( ),<br />
[P] gettoken, [P] numlist, [P] syntax,<br />
[P] tokenize, [U] 18.4 Program arguments<br />
partial<br />
autocorrelation function, [TS] corrgram,<br />
[TS] Glossary<br />
correlation, [R] pcorr<br />
DFBETA, [ST] stcox postestimation, [ST] stcrreg<br />
postestimation, [ST] Glossary<br />
effects, [R] margins, [R] marginsplot<br />
likelihood displacement value, [ST] Glossary<br />
LMAX value, [ST] Glossary<br />
regression leverage plot, [R] regress postestimation<br />
diagnostic plots<br />
regression plot, [R] regress postestimation<br />
diagnostic plots<br />
residual plot, [R] regress postestimation diagnostic<br />
plots<br />
partially specified target rotation, [MV] rotate,<br />
[MV] rotatemat, [MV] Glossary<br />
partition cluster-analysis methods, [MV] cluster kmeans<br />
and kmedians, [MV] Glossary<br />
partition clustering, see partition cluster-analysis<br />
methods<br />
partitioned matrices, [P] matrix define<br />
partitioning memory, [U] 6 Managing memory<br />
Parzen kernel function, [G-2] graph twoway kdensity,<br />
[G-2] graph twoway lpoly, [R] kdensity,<br />
[R] lpoly, [R] qreg, [TE] teffects overlap<br />
passive imputation, see imputation, passive<br />
passive variables, see variables, passive<br />
passive, mi subcommand, [MI] mi passive<br />
past history, [ST] stset, [ST] Glossary<br />
path, [SEM] Glossary<br />
adding, [SEM] intro 6<br />
coefficients, [SEM] Glossary<br />
constraining, [SEM] intro 4<br />
diagrams, [SEM] intro 2, [SEM] intro 3,<br />
[SEM] Glossary<br />
model, [SEM] intro 5<br />
notation, [SEM] intro 2, [SEM] intro 3,<br />
[SEM] gsem path notation extensions,<br />
[SEM] sem and gsem path notation, [SEM] sem<br />
path notation extensions, [SEM] Glossary<br />
pathasciisuffix() function, [M-5] pathjoin( )<br />
pathbasename() function, [M-5] pathjoin( )<br />
pathisabs() function, [M-5] pathjoin( )<br />
pathisurl() function, [M-5] pathjoin( )<br />
pathjoin() function, [M-5] pathjoin( )<br />
pathlist() function, [M-5] pathjoin( )<br />
pathrmsuffix() function, [M-5] pathjoin( )<br />
paths, [P] creturn, [U] 11.6 Filenaming conventions<br />
pathsearchlist() function, [M-5] pathjoin( )<br />
pathsplit() function, [M-5] pathjoin( )<br />
pathstatasuffix() function, [M-5] pathjoin( )<br />
pathsubsysdir() function, [M-5] pathjoin( )<br />
pathsuffix() function, [M-5] pathjoin( )<br />
pattern matching, [M-5] strmatch( )<br />
pattern of missing values, [R] misstable<br />
pattern of missingness, [MI] intro substantive, [MI] mi<br />
impute, [MI] mi misstable, [MI] Glossary<br />
patterns of data, [D] egen<br />
patterns, misstable subcommand, [R] misstable<br />
pause command, [P] pause<br />
pausing until key is pressed, [P] more, [R] more<br />
pc(), egen function, [D] egen<br />
PCA, see principal component analysis<br />
pca command, [MV] pca, [MV] pca postestimation<br />
pcamat command, [MV] pca, [MV] pca<br />
postestimation<br />
pcarrow, graph twoway subcommand, [G-2] graph<br />
twoway pcarrow<br />
pcarrowi, graph twoway subcommand, [G-2] graph<br />
twoway pcarrowi<br />
pcbarrow, graph twoway subcommand, [G-2] graph<br />
twoway pcarrow<br />
pccapsym, graph twoway subcommand, [G-2] graph<br />
twoway pccapsym<br />
pchart command, [R] qc<br />
pchi command, [R] diagnostic plots<br />
pci, graph twoway subcommand, [G-2] graph twoway<br />
pci<br />
pclose, [SEM] example 4<br />
p-conformability, [M-6] Glossary