wrapper.dapar.impute.mi: Missing values imputation using the LSimpute algorithm.

Description Usage Arguments Value Author(s) Examples

Description

This method is a wrapper to the function impute.mi of the package imp4p adapted to an object of class MSnSet.

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
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"
)

Arguments

obj

An object of class MSnSet.

nb.iter

Same as the function mi.mix in the package imp4p

nknn

Same as the function mi.mix in the package imp4p

selec

Same as the function mi.mix in the package imp4p

siz

Same as the function mi.mix in the package imp4p

weight

Same as the function mi.mix in the package imp4p

ind.comp

Same as the function mi.mix in the package imp4p

progress.bar

Same as the function mi.mix in the package imp4p

x.step.mod

Same as the function estim.mix in the package imp4p

x.step.pi

Same as the function estim.mix in the package imp4p

nb.rei

Same as the function estim.mix in the package imp4p

method

Same as the function estim.mix in the package imp4p

gridsize

Same as the function estim.mix in the package imp4p

q

Same as the function mi.mix in the package imp4p

q.min

Same as the function impute.pa in the package imp4p

q.norm

Same as the function impute.pa in the package imp4p

eps

Same as the function impute.pa in the package imp4p

methodi

Same as the function mi.mix in the package imp4p

lapala

xxxxxxxxxxx

distribution

The type of distribution used. Values are unif (default) or beta.

Value

The exprs(obj) matrix with imputed values instead of missing values.

Author(s)

Samuel Wieczorek

Examples

1
2
3
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)

DAPAR documentation built on April 11, 2021, 6 p.m.