wrapper.dapar.impute.mi {DAPAR} | R Documentation |
This method is a wrapper to the function impute.mi
of the package imp4p
adapted to
an object of class MSnSet
.
wrapper.dapar.impute.mi( obj, nb.iter = 3, nknn = 15, selec = 600, siz = 500, weight = 1, ind.comp = 1, progress.bar = FALSE, x.step.mod = 300, x.step.pi = 300, nb.rei = 100, method = 4, gridsize = 300, q = 0.95, q.min = 0, q.norm = 3, eps = 0, methodi = "slsa", lapala = TRUE, distribution = "unif" )
obj |
An object of class |
nb.iter |
Same as the function |
nknn |
Same as the function |
selec |
Same as the function |
siz |
Same as the function |
weight |
Same as the function |
ind.comp |
Same as the function |
progress.bar |
Same as the function |
x.step.mod |
Same as the function |
x.step.pi |
Same as the function |
nb.rei |
Same as the function |
method |
Same as the function |
gridsize |
Same as the function |
q |
Same as the function |
q.min |
Same as the function |
q.norm |
Same as the function |
eps |
Same as the function |
methodi |
Same as the function |
lapala |
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distribution |
The type of distribution used. Values are |
The exprs(obj)
matrix with imputed values instead of missing values.
Samuel Wieczorek
utils::data(Exp1_R25_pept, package='DAPARdata') dat <- mvFilter(Exp1_R25_pept[1:1000], type="allCond", th = 1) dat <- wrapper.dapar.impute.mi(dat, nb.iter=1)