| qelbow {mhtboot} | R Documentation |
Finding corner of a quantile of ordered transformed p values
Description
Given a matrix of empirical distribution of ordered transformed p values, this function finds the corner point for a particular quantile.
Usage
qelbow(porder, rbuff = 25, h = 30, qi = 0.9)
Arguments
porder |
matrix, usually feed from pboot functions. Bxm matrix of ordered p values, where B is the replication size and m is dimension. |
rbuff |
right buffer, scaler, control for elbow() |
h |
window size, default 30. |
qi |
number between 0 and 1, quantile of the distribution. default 0.9. |
Details
In the distribution of the transformed ordered p values, we choose a particular quantile given by the user. We estimate the change point, which will be an estimate of the number of true alternatives corresponding to that quantile of the p values. As the values of the quantile increases, the estimates can only increasing, because we are dealing with ordered p values.
Value
vector with two elements. estimates of the corner point by two methods.
Examples
## Not run:
n = 50;m = 250;m0 = 20;
sigeff = 1;
Sigma <- 0.25*diag(m)
X <- datgen(n,m,m0,sigeff,Sigma = Sigma)
porder <- pboot.1sample(X=X,B=100,ncpus = 1)
out <- qelbow(porder = porder)
out
## End(Not run)