imputeMulti: imputeMulti
In BeanLabASU/metabimpute: Missingness Evaluation, Simulation and Imputation in Metabolomics
imputeMulti R Documentation
imputeMulti
Description
Uses the impute function to do multiple specified imputation methods and contains them within a list
Usage
imputeMulti(methods, data, local = T, reps = NULL)
Arguments
methods
a list of imputation methods
data
the dataset with missing values contained
local
boolean whether to use a local imputation method or global, only applicable to non-replicate methods that do single value imputation
reps
number of replicates, if applicable
Value
a list containing the dataframes of the imputed data
BeanLabASU/metabimpute documentation built on Feb. 5, 2023, 11:41 p.m.
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| imputeMulti | R Documentation |
imputeMulti
Description
Uses the impute function to do multiple specified imputation methods and contains them within a list
Usage
imputeMulti(methods, data, local = T, reps = NULL)
Arguments
methods |
a list of imputation methods |
data |
the dataset with missing values contained |
local |
boolean whether to use a local imputation method or global, only applicable to non-replicate methods that do single value imputation |
reps |
number of replicates, if applicable |
Value
a list containing the dataframes of the imputed data
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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