wrapper.impute.KNN: KNN missing values imputation from a 'MSnSet' object
In DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/missingValuesImputation_ProteinLevel.R
Description
This method is a wrapper for
objects of class MSnSet and imputes missing values with a fixed value.
This function imputes the missing values condition by condition.
Usage
1
wrapper.impute.KNN(obj, K)
Arguments
obj
An object of class MSnSet.
K
the number of neighbors.
Value
The object obj which has been imputed
Author(s)
Samuel Wieczorek
Examples
1
2
utils::data(Exp1_R25_pept, package='DAPARdata')
wrapper.impute.KNN(Exp1_R25_pept[1:1000], 3)
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_ProteinLevel.R
Description
This method is a wrapper for
objects of class MSnSet and imputes missing values with a fixed value.
This function imputes the missing values condition by condition.
Usage
1 | wrapper.impute.KNN(obj, K)
|
Arguments
obj |
An object of class |
K |
the number of neighbors. |
Value
The object obj which has been imputed
Author(s)
Samuel Wieczorek
Examples
1 2 | utils::data(Exp1_R25_pept, package='DAPARdata')
wrapper.impute.KNN(Exp1_R25_pept[1:1000], 3)
|
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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