Missing values imputation with random Forest

This component uses R package missForest to impute missing values. Dataframe may be of mixed-typedata. It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complexinteractions and non-linear relations.
Requires R package: missForest
Ref: https://cran.r-project.org/web/packages/missForest/missForest.pdf

Input ports

1. Type: Table
   Port 1
   Input is a complete knime dataframe. This dataframe with missing values imputed will be outputted.

Output ports

1. Type: Table
   Output dataset
   Output dataset consisting of all columns but with missing values imputed