rubin2bt.one | R Documentation |
Computes the between-imputation component in the 2nd Rubin's rule for a given peptide.
rubin2bt.one(peptide, data, funcmean, metacond)
peptide |
peptide for which the variance-covariance matrix should be derived. |
data |
dataset |
funcmean |
function that should be used to compute the mean |
metacond |
a factor to specify the groups |
A variance-covariance matrix.
Frédéric Bertrand
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. \Sexpr[results=rd]{tools:::Rd_expr_doi("doi:10.1371/journal.pcbi.1010420")}.
library(mi4p)
data(datasim)
datasim_imp <- multi.impute(data = datasim[,-1], conditions =
attr(datasim,"metadata")$Condition, method = "MLE")
rubin2bt.one(1,datasim_imp,funcmean = meanImp_emmeans,
attr(datasim,"metadata")$Condition)
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