[R] question regarding qmvnorm
Ravi Varadhan
rvaradhan at jhmi.edu
Thu Apr 21 00:32:49 CEST 2011
If you had told us what the error message was, my job would have been easier. But, at least you provied the code, so it was not hard for me to see where the problem was. There is a problem with the strategy used by `qmvnorm' to locate the initial interval in which the quantile is supposed to lie. In particular, the problem is with the approx_interval() function.
In your case, the interval computed by this function does not contain the root. Hence, uniroot() fails. The solution is to provide the interval that contains the roots. I am cc'ing Torsten so that he is aware of the problem.
The following works:
m <- 10
rho <- 0.1
k <- 2
alpha <- 0.05
cc_z <- rep(NA, length=m)
var <- matrix(c(1,rho,rho,1), nrow=2, ncol=2, byrow=T)
for (i in 1:m){
if (i <= k) {cc_z[i] <- qmvnorm((k*(k-1))/(m*(m-1))*alpha, tail="upper",
sigma=var, interval=c(0, 5))$quantile} else
{cc_z[i] <- qmvnorm((k*(k-1))/((m-i+k)*(m-i+k-1))*alpha, tail
="upper", sigma=var, interval=c(0,5))$quantile}
}
cc_z
> cc_z
[1] 1.9438197 1.9438197 1.8910860 1.8303681 1.7590806 1.6730814 1.5652220
[8] 1.4219558 1.2116459 0.8267921
>
Ravi.
________________________________________
From: r-help-bounces at r-project.org [r-help-bounces at r-project.org] On Behalf Of li li [hannah.hlx at gmail.com]
Sent: Wednesday, April 20, 2011 5:59 PM
To: r-help
Subject: [R] question regarding qmvnorm
Dear all,
I wrote the following function previously. It worked fine with the old
mvtnorm package.
Somehow with the updated package, I got a error message when trying to use
the function.
I need some help. It is sort of urgent. Can anyone please take a look. The
function is the following.
Thank you very much!
Hannah
library(mvtnorm)
cc_f <- function(m, rho, k, alpha) {
m <- 10
rho <- 0.1
k <- 2
alpha <- 0.05
cc_z <- numeric(m)
var <- matrix(c(1,rho,rho,1), nrow=2, ncol=2, byrow=T)
for (i in 1:m){
if (i <= k) {cc_z[i] <- qmvnorm((k*(k-1))/(m*(m-1))*alpha, tail="upper",
sigma=var)$quantile} else
{cc_z[i] <- qmvnorm((k*(k-1))/((m-i+k)*(m-i+k-1))*alpha, tail
="upper", sigma=var)$quantile}
}
cc <- 1-pnorm(cc_z)
return(cc)
}
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