Randomly replaces a user-specified fraction of entries in an H2O dataset with missing values.

h2o.insertMissingValues(data, fraction = 0.1, seed = -1)

## Arguments

data An H2OFrame object representing the dataset. A number between 0 and 1 indicating the fraction of entries to replace with missing. A random number used to select which entries to replace with missing values. Default of seed = -1 will automatically generate a seed in H2O.

## Value

Returns an H2OFrame object.

## WARNING

This will modify the original dataset. Unless this is intended, this function should only be called on a subset of the original.

## Examples

# NOT RUN {
library(h2o)
h2o.init()

iris_hf <- as.h2o(iris)
summary(iris_hf)

irismiss <- h2o.insertMissingValues(iris_hf, fraction = 0.25)
# }