roughImpute: Unsupervised median/mode imputation for dataframes
In talegari/forager: Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data
Description
Usage
Arguments
Value
Examples
Description
Imputes missing values integer/numeric columns with their
median. Imputes missing calues in character/factor columns with their mode.
If a column does not contain even one non-missing value, then error is
thrown.
Usage
1
roughImpute(dataset)
Arguments
dataset
A dataframe
Value
A dataframe (also inherits data.table class)
Examples
1
2
iris_missing <- missRanger::generateNA(iris, p = 0.2, seed = 1)
roughImpute(iris_missing)
talegari/forager documentation built on May 3, 2019, 4:01 p.m.
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Description Usage Arguments Value Examples
Description
Imputes missing values integer/numeric columns with their median. Imputes missing calues in character/factor columns with their mode. If a column does not contain even one non-missing value, then error is thrown.
Usage
1 | roughImpute(dataset)
|
Arguments
dataset |
A dataframe |
Value
A dataframe (also inherits data.table class)
Examples
1 2 | iris_missing <- missRanger::generateNA(iris, p = 0.2, seed = 1)
roughImpute(iris_missing)
|
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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