introNAs: Introduce NA's into a Dataframe
In mvdalab: Multivariate Data Analysis Laboratory
introNAs R Documentation
Introduce NA's into a Dataframe
Description
Function for testing missing value imputation algorithms
Usage
introNAs(data, percent = 25)
Arguments
data
a dataset without missing values.
percent
the percent data that should be randomly assigned as missing
Details
A completed data frame is returned with the desired percentage of missing data. NAs are assigned at random.
Author(s)
Nelson Lee Afanador (nelson.afanador@mvdalab.com)
Examples
dat <- introNAs(iris)
dat
mvdalab documentation built on Oct. 6, 2022, 1:05 a.m.
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| introNAs | R Documentation |
Introduce NA's into a Dataframe
Description
Function for testing missing value imputation algorithms
Usage
introNAs(data, percent = 25)
Arguments
data |
a dataset without missing values. |
percent |
the percent data that should be randomly assigned as missing |
Details
A completed data frame is returned with the desired percentage of missing data. NAs are assigned at random.
Author(s)
Nelson Lee Afanador (nelson.afanador@mvdalab.com)
Examples
dat <- introNAs(iris) dat
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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