mi4p (version 1.3)

rubin2wt.one: 2nd Rubin's rule Within-Variance Component (a given peptide)

Description

Computes the within-variance component in the 2nd Rubin's rule for a given peptide.

Usage

rubin2wt.one(peptide, data, funcvar, metacond)

Value

A variance-covariance matrix.

Arguments

peptide

peptide for which the variance-covariance matrix should be derived.

data

dataset

funcvar

function that should be used to compute the variance

metacond

a factor to specify the groups

Author

Frédéric Bertrand

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").

Examples

library(mi4p)
data(datasim)
datasim_imp <- multi.impute(data = datasim[,-1], conditions = 
attr(datasim,"metadata")$Condition, method = "MLE")
rubin2wt.one(1,datasim_imp,funcvar=within_variance_comp_emmeans,
attr(datasim,"metadata")$Condition)