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Diff for /OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd between version 1.11 and 1.12

version 1.11, 2016/02/13 22:56:50 version 1.12, 2016/02/14 00:21:50
Line 1 
Line 1 
 % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.10 2015/03/27 02:36:30 takayama Exp $  % $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm.cwishart.Rd,v 1.11 2016/02/13 22:56:50 takayama Exp $
 \name{hgm.pwishart}  \name{hgm.pwishart}
 \alias{hgm.pwishart}  \alias{hgm.pwishart}
 %- Also NEED an '\alias' for EACH other topic documented here.  %- Also NEED an '\alias' for EACH other topic documented here.
Line 12 
Line 12 
 }  }
 \usage{  \usage{
 hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
             err,automatic,assigned_series_error,verbose)              err,automatic,assigned_series_error,verbose,autoplot)
 }  }
 %- maybe also 'usage' for other objects documented here.  %- maybe also 'usage' for other objects documented here.
 \arguments{  \arguments{
Line 33  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
Line 33  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
   }    }
   \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, it 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 43  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
Line 44  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
     of the matrix hypergeometric series and its derivatives at q0.      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, it is automatically set.
   }    }
   \item{method}{    \item{method}{
     a-rk4 is the default value.      a-rk4 is the default value.
Line 71  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
Line 73  hgm.pwishart(m,n,beta,q0,approxdeg,h,dp,q,mode,method,
     If it is 1, then steps of automatic degree updates and several parameters      If it is 1, then steps of automatic degree updates and several parameters
     are output to stdout and stderr.      are output to stdout and stderr.
   }    }
     \item{autoplot}{
       autoplot=0 is the default value.
       If it is 1, then it outputs an input for plot.
       When ans is the output, ans[1,] is c(q,prob at q,...), ans[2,] is c(q0,prob at q0,...), and ans[3,] is c(q0+q/100,prob at q/100,...), ...
     }
 }  }
 \details{  \details{
   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
Line 122  hgm.pwishart(m=3,n=5,beta=c(1,2,3),q=10)
Line 129  hgm.pwishart(m=3,n=5,beta=c(1,2,3),q=10)
 ## =====================================================  ## =====================================================
 b<-hgm.pwishart(m=4,n=10,beta=c(1,2,3,4),q0=1,q=10,approxdeg=20,mode=c(1,1,(16+1)*100));  b<-hgm.pwishart(m=4,n=10,beta=c(1,2,3,4),q0=1,q=10,approxdeg=20,mode=c(1,1,(16+1)*100));
 c<-matrix(b,ncol=16+1,byrow=1);  c<-matrix(b,ncol=16+1,byrow=1);
   #plot(c)
   ## =====================================================
   ## Example 3.
   ## =====================================================
   c<-hgm.pwishart(m=4,n=10,beta=c(1,2,3,4),q0=1,q=10,approxdeg=20,autoplot=1);
 #plot(c)  #plot(c)
 }  }
 % Add one or more standard keywords, see file 'KEYWORDS' in the  % Add one or more standard keywords, see file 'KEYWORDS' in the

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