trc_tau {trc} | R Documentation |
Trucated Rank Correlation
Description
TRC tau is a robust corrleation measure based on the truncated rank values.
Usage
trc_tau(X,Y,m=5)
Arguments
X |
An observed data vector from the first condition. |
Y |
An observed data vector from the second condition. |
m |
A rank threshold for the calculation of TRC tau. |
Details
Given a rank threshold m, trc_tau calculates the TRC tau value.
Value
tau |
A calculated TRC tau value. |
References
Lim, J., Yu, D., Kuo, H., Choi, H., and Walmsely, S. (2019). Truncated Rank Correlation as a robust measure of test-retest reliability in mass spectrometry data. Statistical Applications in Genetics and Molecular Biology, 18(4).
Examples
p = 100
sig_z = 1.15
sig_e = 1
mu_z = 2
mu_e = 8
m0 = 30
S1 = rnorm(p,mean=mu_e,sd=sig_e)
S2 = rnorm(p,mean=mu_e,sd=sig_e)
if(m0!=0)
{
X = mu_z + rnorm(m0,mean=0,sd=sig_z)
indx = 1:p
s_indx = sort(sample(indx,m0))
S1[s_indx] = S1[s_indx] + X
S2[s_indx] = S2[s_indx] + X
}
S1 = exp(S1)
S2 = exp(S2)
tau0 = trc_tau(S1,S2,m=m0)
tau0
[Package trc version 0.2 Index]