Variance-Covariance Matrix Projection

Source: R/proj_matrix.R

Use a projection of the given variance-covariance matrix.

proj_matrix(VarRubin.matrix, metadata)

Arguments

VarRubin.matrix

A variance-covariance matrix.
metadata

Metadata of the experiment.

Value

A list of variance-covariance matrices.

References

M. Chion, Ch. Carapito and F. Bertrand (2021). Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics. arxiv:2108.07086. https://arxiv.org/abs/2108.07086.

Examples

library(mi4p)
data(datasim)
datasim_imp <- multi.impute(data = datasim[,-1], conditions = 
attr(datasim,"metadata")$Condition, method = "MLE")
VarRubin.matrix <- rubin2.all(datasim_imp[1:5,,],
attr(datasim,"metadata")$Condition)
proj_matrix(VarRubin.matrix, attr(datasim,"metadata"))

#> [1] 0.9556735 0.6325980 1.2207511 0.7328072 0.6709007