rfImputeUnsupervised: Missing value imputation

In BillVenables/WWRCourse: Working with R Course Software and Data

Description

An unsupervised missing value imputation method using randomForest methods. Somewhat experimental

Usage

rfImputeUnsupervised(object, ...)

## Default S3 method:
rfImputeUnsupervised(object, iter = 5, ...)

## S3 method for class 'formula'
rfImputeUnsupervised(object, data = environment(object), ...)

Arguments

object	A one-sided formula, or a data frame containing missing values in some of the variables. Missing values in Date or POSIXt objects are not accommodated
...	additional arguments passed on to randomForest
data	A data frame used when x is a formula

Value

A data frame like object with missing values imputed, if possible

BillVenables/WWRCourse documentation built on Jan. 31, 2021, 4:22 p.m.