getcutoff {lordif} | R Documentation |
determines a cutoff threshold
Description
Determines an empirical cutoff value for statistics generated from a Monte Carlo simulation.
Usage
getcutoff(stat, alpha, reverse)
Arguments
stat |
a vector containing statistics sampled from a Monte Carlo simulation |
alpha |
a p-value specifying the quantile of the statistics to be determined, e.g., (alpha x 100)th percentile |
reverse |
if TRUE, the quantile is determined by (1-alpha) |
Details
Calculates the quantile value of statistics sampled from a Monte Carlo simulation. For example, when alpha = 0.1 the function determines the 1st percentile of the statistics. Conversely, if reverse is True, the function determines the 99th percentile, i.e., (1-alpha) x 100.
Value
returns a scalar corresponding to the quantile of the statistics determined by alpha or (1-alpha)
Author(s)
Seung W. Choi <choi.phd@gmail.com>
See Also
Examples
#top 1 percent
getcutoff(runif(1000),0.01,TRUE)
#bottom 1 percent
getcutoff(runif(1000),0.01,FALSE)
[Package lordif version 0.3-3 Index]