| rhov {tatest} | R Documentation |
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. |
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.
Value
return a numeric value
Author(s)
Yuan-De Tan
tanyuande@gmail.com
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
Examples
X<-c(112,122, 108,127)
Y<-c(302, 314, 322, 328)
rhov(XA=X,XB=Y)
#[1] 3.062173