tatest (version 1.0)

rhov: Calculation of rho (\(\rho\)) value

Description

The rho is used to define a gap and variation between two datasets, similar to fc(fold change).

Usage

rhov(XA, XB)

Arguments

XA

a numeric vector in condition A.

XB

a numeric vector in condition B.

Value

return a numeric value

Details

The rho is defined as square root of products of $$\psi$$ and $$\zeta$$, that is $$\rho=\sqrt{\psi\zeta}$$ where \(\psi\) is used to define a overlap between two datasets and \(\zeta\) is used to define effect variation. \(\rho > 1\) indicates that there is gap between two datasets and noise is smaller than treatment effect, otherwise, there is overall lap and big noise in two datasets.

References

Yuan-De Tan Anita M. Chandler, Arindam Chaudhury, and Joel R. Neilson(2015) A Powerful Statistical Approach for Large-scale Differential Transcription Analysis. Plos One. 2015 DOI: 10.1371/journal.pone.0123658.

See Also

omega

Examples

# NOT RUN {
X<-c(112,122, 108,127)
Y<-c(302, 314, 322, 328)
rhov(XA=X,XB=Y)	
#[1] 3.062173
# }