wrapper.impute.KNN: KNN missing values imputation from a 'MSnSet' object
In prostarproteomics/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R
View source: R/missingValuesImputation_ProteinLevel.R
wrapper.impute.KNN R Documentation
KNN missing values imputation from a MSnSet object
Description
Can impute only POV missing values. 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
wrapper.impute.KNN(obj = NULL, 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
data(Exp1_R25_pept, package="DAPARdata")
obj.imp.pov <- wrapper.impute.KNN(obj = Exp1_R25_pept[seq_len(10)], K = 3)
prostarproteomics/DAPAR documentation built on March 28, 2024, 4:44 a.m.
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View source: R/missingValuesImputation_ProteinLevel.R
| wrapper.impute.KNN | R Documentation |
KNN missing values imputation from a MSnSet object
Description
Can impute only POV missing values. 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
wrapper.impute.KNN(obj = NULL, 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
data(Exp1_R25_pept, package="DAPARdata")
obj.imp.pov <- wrapper.impute.KNN(obj = Exp1_R25_pept[seq_len(10)], K = 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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