impute_univariate: Univariate Imputation
In yatzy/xgbimpute: Imputation Using XGBoost
Description
Usage
Arguments
Value
Examples
Description
Fills missing values of a vector of any type by sampling
with replacement from the non-missing values. Requires at least one
non-missing value to run.
Usage
1
Arguments
x
A vector of any type possibly containing missing values.
Value
A vector of the same length and type as x but without missing values.
Examples
1
2
3
impute_univariate(c(NA, 0, 1, 0, 1))
impute_univariate(c("A", "A", NA))
impute_univariate(as.factor(c("A", "A", NA)))
yatzy/xgbimpute documentation built on June 7, 2019, 8:16 p.m.
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Description Usage Arguments Value Examples
Description
Fills missing values of a vector of any type by sampling with replacement from the non-missing values. Requires at least one non-missing value to run.
Usage
1 |
Arguments
x |
A vector of any type possibly containing missing values. |
Value
A vector of the same length and type as x but without missing values.
Examples
1 2 3 | impute_univariate(c(NA, 0, 1, 0, 1))
impute_univariate(c("A", "A", NA))
impute_univariate(as.factor(c("A", "A", NA)))
|
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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