proj_matrix function

Variance-Covariance Matrix Projection

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.

Returns

A list of variance-covariance matrices.

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"))

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. tools:::Rd_expr_doi("doi:10.1371/journal.pcbi.1010420") .