data_precheck: Data precheck: Handle missing data(mean imputation) and...
In MultiObjMatch: Multi-Objective Matching Algorithm
data_precheck R Documentation
Data precheck: Handle missing data(mean imputation) and remove redundant
columns; it also adds an NA column for indicating whether it's missing
Description
Data precheck: Handle missing data(mean imputation) and remove redundant
columns; it also adds an NA column for indicating whether it's missing
Usage
data_precheck(X)
Arguments
X
a dataframe that the user initially inputs for matching - dataframe
with covariates
Value
a dataframe with modified data if necessary
MultiObjMatch documentation built on Sept. 11, 2024, 6:45 p.m.
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| data_precheck | R Documentation |
Data precheck: Handle missing data(mean imputation) and remove redundant columns; it also adds an NA column for indicating whether it's missing
Description
Data precheck: Handle missing data(mean imputation) and remove redundant columns; it also adds an NA column for indicating whether it's missing
Usage
data_precheck(X)
Arguments
X |
a dataframe that the user initially inputs for matching - dataframe with covariates |
Value
a dataframe with modified data if necessary
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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