induce_missing: Induce Missing Values (NA) at Random
In dsnavega/imputeForest: Missing value imputation model using randomForest
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Induce Missing Values (NA) at Random
Usage
1
induce_missing(x, amount = 0.1)
Arguments
x
a matrix or data.frame
amount
a float greater than 0 and smaller than 1 defining the amount
of missing entries (NA).
Value
a copy of x with induced NA
Author(s)
David Navega
Examples
1
2
iris_missing <- induce_missing(iris)
print(head(iris_missing))
dsnavega/imputeForest documentation built on May 8, 2019, 2:43 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Induce Missing Values (NA) at Random
Usage
1 | induce_missing(x, amount = 0.1)
|
Arguments
x |
a matrix or data.frame |
amount |
a float greater than 0 and smaller than 1 defining the amount of missing entries (NA). |
Value
a copy of x with induced NA
Author(s)
David Navega
Examples
1 2 | iris_missing <- induce_missing(iris)
print(head(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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