prodNA: Introduce Missing Values Completely at Random
In missForest: Nonparametric Missing Value Imputation using Random Forest
prodNA R Documentation
Introduce Missing Values Completely at Random
Description
'prodNA' artificially introduces missing values. Entries in the given
dataframe are deleted completely at random up to the specified amount.
Usage
prodNA(x, noNA = 0.1)
Arguments
x
dataframe subjected to missing value introduction.
noNA
proportion of missing values w.r.t. the number of entries
of 'x'.
Value
dataframe with missing values.
Author(s)
Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch>
See Also
missForest
Examples
data(iris)
## Introduce 5% of missing values to the iris data set
iris.mis <- prodNA(iris, 0.05)
summary(iris.mis)
missForest documentation built on April 14, 2022, 5:05 p.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.
| prodNA | R Documentation |
Introduce Missing Values Completely at Random
Description
'prodNA' artificially introduces missing values. Entries in the given dataframe are deleted completely at random up to the specified amount.
Usage
prodNA(x, noNA = 0.1)
Arguments
x |
dataframe subjected to missing value introduction. |
noNA |
proportion of missing values w.r.t. the number of entries of 'x'. |
Value
dataframe with missing values.
Author(s)
Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch>
See Also
missForest
Examples
data(iris) ## Introduce 5% of missing values to the iris data set iris.mis <- prodNA(iris, 0.05) summary(iris.mis)
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.