impute_factor: Majority Imputation
In kvantas/missTune: Imputation of Missing Values by Automatic Tuned Chained Spatial Tree Ensembles
Description
Usage
Arguments
Value
Examples
Description
Fills missing values of a factor vector by using the majority
rule. If there are several levels with the same number of votes, samples one
at random and fills the missing values
Usage
1
Arguments
x
A factor vector possibly containing missing values.
Value
A factor vector of the same length as x but without missing
values.
Examples
1
2
3
x <- as.factor(c(1,1,2,2,3,3,3))
x[3] <- NA
impute_factor(x)
kvantas/missTune documentation built on May 12, 2019, 10:51 a.m.
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Description Usage Arguments Value Examples
Description
Fills missing values of a factor vector by using the majority rule. If there are several levels with the same number of votes, samples one at random and fills the missing values
Usage
1 |
Arguments
x |
A factor vector possibly containing missing values. |
Value
A factor vector of the same length as x but without missing
values.
Examples
1 2 3 | x <- as.factor(c(1,1,2,2,3,3,3))
x[3] <- NA
impute_factor(x)
|
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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