assessQuality {RUVcorr} | R Documentation |
assessQuality
allows to assess the quality of cleaning procedures in the context
of correlations when the true underlying correlation structure is known.
assessQuality(est, true, index = "all", methods = c("all", "fnorm", "wrong.sign"))
est |
A matrix of estimated gene expression values. |
true |
A matrix of true correlations. |
index |
A vector of indices of genes to be included in
the assessment; if |
methods |
The method used for quality assessment;
if |
The squared Frobenius norm used for assessQuality
has the following structure
F=\frac{\|E-T\|^2}{s}
Here, the parameter E and the parameter T denote the lower triangles of the estimated and true Fisher transformed correlation matrices, respectively. The parameter s denotes the number of elements in E and T.
assessQuality
returns a vector of the requested quality assessments.
Saskia Freytag
Y<-simulateGEdata(500, 500, 10, 2, 5, g=NULL, Sigma.eps=0.1, 250, 100, intercept=FALSE, check.input=FALSE) assessQuality(Y$Y, Y$Sigma, index=1:100, methods="wrong.sign") assessQuality(Y$Y, Y$Sigma, index=1:100, method="fnorm")