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Diff for /OpenXM/src/R/r-packages/hgm/man/hgm.c2wishart.Rd between version 1.2 and 1.3

version 1.2, 2016/02/13 07:12:52 version 1.3, 2016/02/13 22:56:50
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 % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.c2wishart.Rd,v 1.1 2016/02/13 06:47:50 takayama Exp $  % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.c2wishart.Rd,v 1.2 2016/02/13 07:12:52 takayama Exp $
 \name{hgm.p2wishart}  \name{hgm.p2wishart}
 \alias{hgm.p2wishart}  \alias{hgm.p2wishart}
 %- Also NEED an '\alias' for EACH other topic documented here.  %- Also NEED an '\alias' for EACH other topic documented here.
 \title{  \title{
     The function hgm.p2wishart evaluates the cumulative distribution function      The function hgm.p2wishart evaluates the cumulative distribution function
   of the largest eigenvalues of inverse(S2)*S1.    of the largest eigenvalues of W1*inverse(W2).
 }  }
 \description{  \description{
     The function hgm.p2wishart evaluates the cumulative distribution function      The function hgm.p2wishart evaluates the cumulative distribution function
Line 34  hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me
Line 34  hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me
   }    }
   \item{dp}{    \item{dp}{
     Sampling interval of solutions by the Runge-Kutta method.      Sampling interval of solutions by the Runge-Kutta method.
       When autoplot=1, dp is automatically set.
   }    }
   \item{q}{    \item{q}{
     The second value y[0] of this function is the Prob(L1 < q)      The second value y[0] of this function is the Prob(L1 < q)
Line 41  hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me
Line 42  hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me
   }    }
   \item{mode}{    \item{mode}{
     When mode=c(1,0,0), it returns the evaluation      When mode=c(1,0,0), it returns the evaluation
     of the matrix hypergeometric series and its derivatives at x0.      of the matrix hypergeometric series and its derivatives at q0.
     When mode=c(1,1,(m^2+1)*p), intermediate values of P(L1 < x) with respect to      When mode=c(1,1,(m^2+1)*p), intermediate values of P(L1 < x) with respect to
     p-steps of x are also returned.  Sampling interval is controled by dp.      p-steps of x are also returned.  Sampling interval is controled by dp.
       When autoplot=1, mode is automatically set.
   }    }
   \item{method}{    \item{method}{
     a-rk4 is the default value.      a-rk4 is the default value.
Line 81  hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me
Line 83  hgm.p2wishart(m,n1,n2,beta,q0,approxdeg,h,dp,q,mode,me
   It is evaluated by the Koev-Edelman algorithm when x is near the origin and    It is evaluated by the Koev-Edelman algorithm when x is near the origin and
   by the HGM when x is far from the origin.    by the HGM when x is far from the origin.
   We can obtain more accurate result when the variables h is smaller,    We can obtain more accurate result when the variables h is smaller,
   x0 is relevant value (not very big, not very small),    q0 is relevant value (not very big, not very small),
   and the approxdeg is more larger.    and the approxdeg is more larger.
   A heuristic method to set parameters x0, h, approxdeg properly    A heuristic method to set parameters q0, h, approxdeg properly
   is to make x larger and to check if the y[0] approaches to 1.    is to make x larger and to check if the y[0] approaches to 1.
 %  \code{\link[RCurl]{postForm}}.  %  \code{\link[RCurl]{postForm}}.
 }  }
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