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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

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