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R/qtw.R
In RMTstat: Distributions, Statistics and Tests Derived from Random Matrix Theory
Defines functions
qtw
Documented in
qtw
qtw <- function( p, beta=1, lower.tail = TRUE, log.p = FALSE ) {
q <- uniroot( function( x ) { ptw( x, beta, lower.tail, log.p ) - p },
interval=c(-10.000000000000001, 6.000000000000001 ),
tol=1e-8 )$root
q
}
qtw <- Vectorize( qtw )
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RMTstat documentation built on April 13, 2022, 1:07 a.m.
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Defines functions qtw
Documented in qtw
qtw <- function( p, beta=1, lower.tail = TRUE, log.p = FALSE ) {
q <- uniroot( function( x ) { ptw( x, beta, lower.tail, log.p ) - p },
interval=c(-10.000000000000001, 6.000000000000001 ),
tol=1e-8 )$root
q
}
qtw <- Vectorize( qtw )
Try the RMTstat package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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