mi4p (version 1.3)

rubin2wt.all: 2nd Rubin's rule Within-Variance Component (all peptides)

Description

Computes the within-variance component in the 2nd Rubin's rule for all peptides.

Usage

rubin2wt.all(
  data,
  funcvar = mi4p::within_variance_comp_emmeans,
  metacond,
  is.parallel = FALSE,
  verbose = TRUE
)

Value

List of variance-covariance matrices.

Arguments

data

dataset

funcvar

function that should be used to compute the variance

metacond

a factor to specify the groups

is.parallel

should parallel computing be used?

verbose

should messages be displayed?

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")$Condition, method = "MLE")
rubin2wt.all(datasim_imp[1:5,,],funcvar = within_variance_comp_emmeans,
attr(datasim,"metadata")$Condition)