na.roughfix {randomForest} | R Documentation |
Impute Missing Values by median/mode.
na.roughfix(object, ...)
object |
a data frame or numeric matrix. |
... |
further arguments special methods could require. |
A completed data matrix or data frame. For numeric variables,
NA
s are replaced with column medians. For factor variables,
NA
s are replaced with the most frequent levels (breaking ties
at random). If object
contains no NA
s, it is returned
unaltered.
This is used as a starting point for imputing missing values by random forest.
Andy Liaw
data(iris) iris.na <- iris set.seed(111) ## artificially drop some data values. for (i in 1:4) iris.na[sample(150, sample(20)), i] <- NA iris.roughfix <- na.roughfix(iris.na) iris.narf <- randomForest(Species ~ ., iris.na, na.action=na.roughfix) print(iris.narf)