produce_NA: Produces a dataframe with missing values
In missForestPredict: Missing Value Imputation using Random Forest for Prediction Settings
produce_NA R Documentation
Produces a dataframe with missing values
Description
Produces a dataframe with missing values.
For each variable, a random sample of observations of size proportion * nrow(x) will be set to NA.
Usage
produce_NA(x, proportion = 0.1)
Arguments
x
a dataframe
proportion
proportion of missing values to be produced; a vector of size ncol(x)
or a single value to be applied to all variables in the dataframe.
Value
dataframe with missing values.
missForestPredict documentation built on May 29, 2024, 7:26 a.m.
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| produce_NA | R Documentation |
Produces a dataframe with missing values
Description
Produces a dataframe with missing values.
For each variable, a random sample of observations of size proportion * nrow(x) will be set to NA.
Usage
produce_NA(x, proportion = 0.1)
Arguments
x |
a dataframe |
proportion |
proportion of missing values to be produced; a vector of size |
Value
dataframe with missing values.
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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