impute_univariate: Univariate 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 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)))
kvantas/missTune documentation built on May 12, 2019, 10:51 a.m.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.