rubin1.all {mi4p}

First Rubin rule (all peptides)

Description

Computes the first Rubin's rule for all the peptides.

Usage

rubin1.all(
  data,
  metacond,
  funcmean = meanImp_emmeans,
  is.parallel = FALSE,
  verbose = FALSE
)

Arguments

data

dataset

metacond

a factor to specify the groups

funcmean

function that should be used to compute the mean

is.parallel

Logical, whether or not use parallel computing (with foreach).

verbose

Logical, should messages be displayed?

Value

A vector of estimated parameters.

Author(s)

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. 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")$Condition, method = "MLE")
rubin1.all(datasim_imp[1:5,,],funcmean = meanImp_emmeans,
attr(datasim,"metadata")$Condition)