rhov: Calculation of rho (rho) value

In Yuande/tatest: Two-Group Ta-Test

Calculation of rho (ρ) 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.

Details

The rho is defined as square root of products of

ψ

and

ζ

, that is

ρ=√{ψζ}

where ψ is used to define a overlap between two datasets and ζ is used to define effect variation. ρ > 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.

Value

return a numeric value

Author(s)

Yuan-De Tan
[e-mail]

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

X<-c(112,122, 108,127)
Y<-c(302, 314, 322, 328)
rhov(XA=X,XB=Y)	
#[1] 3.062173

Yuande/tatest documentation built on Sept. 16, 2022, 8:06 a.m.