wrapper.impute.mle: Imputation of peptides having no values in a biological...
In DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/missingValuesImputation_PeptideLevel.R
Description
This method is a wrapper to the function impute.mle of the package
imp4p adapted to an object of class MSnSet.
Usage
1
wrapper.impute.mle(obj)
Arguments
obj
An object of class MSnSet.
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.impute.mle(dat)
DAPAR documentation built on April 11, 2021, 6 p.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/missingValuesImputation_PeptideLevel.R
Description
This method is a wrapper to the function impute.mle of the package
imp4p adapted to an object of class MSnSet.
Usage
1 | wrapper.impute.mle(obj)
|
Arguments
obj |
An object of class |
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.impute.mle(dat)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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