proj_matrix {mi4p} | R Documentation |
Variance-Covariance Matrix Projection
Description
Use a projection of the given variance-covariance matrix.
Usage
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"))
[Package mi4p version 1.1 Index]