missing_impute: Return the imputed version of data based on the methods...
In UBC-MDS/eaziReda: A Quick And Easy Way To Do EDA And Preprocessing
Description
Usage
Arguments
Value
Examples
View source: R/missing_impute.R
Description
Return the imputed version of data based on the methods selected
Usage
1
missing_impute(data, method_num = "mean", method_non_num = "most_frequent")
Arguments
data
Input dataframe to apply imputation
method_num
The method used for imputing numerical missing values
method_non_num
The method used for imputing non-numerical missing values
Value
dataframe with imputations applied
Examples
1
UBC-MDS/eaziReda documentation built on March 24, 2021, 2:22 a.m.
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Description Usage Arguments Value Examples
View source: R/missing_impute.R
Description
Return the imputed version of data based on the methods selected
Usage
1 | missing_impute(data, method_num = "mean", method_non_num = "most_frequent")
|
Arguments
data |
Input dataframe to apply imputation |
method_num |
The method used for imputing numerical missing values |
method_non_num |
The method used for imputing non-numerical missing values |
Value
dataframe with imputations applied
Examples
1 |
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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