rubin1.all: First Rubin rule (all peptides)

In mariechion/mi4p: Multiple Imputation for Proteomics

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)

mariechion/mi4p documentation built on March 28, 2023, 2:54 p.m.