very basic R nodes in KNIME - knime.in, knime.out and handle Flow Variables
The Component will provide you with a curated R version in a conda environment "knime_r_environment"
You will need a working Miniforge (https://github.com/conda-forge/miniforge) or Miniconda (https://docs.conda.io/en/latest/miniconda.html) or Anaconda environment. As an alternative you could install your own R/RStudio and point KNIME to it without propagation.
In the /data/ folder there will be an Excel File my_r_packages_<YYYY-MM-DD_HH-mm-ss>.xlsx that would contain a list of R packages from the installation.
---------------------------------
# you will need a working Anaconda oder Miniconda installation
# please note - the popular Anaconda package has changed its licensing recently.
# So make sure you comply with that. Or use Miniconda with conda-forge for the time being
# https://docs.conda.io/en/latest/miniconda.html

# following: https://hub.knime.com/marcelw/spaces/Public/latest/Conda_Environment_Propagation_for_R~WqCc-xp5owF0HC4p

conda create -n knime_r_environment -c defaults -c conda-forge r-base r-rserve r-essentials

# you might have to install a special version of RServe > 1.8.6
conda install -c conda-forge r-rserve=1.8_7

#
# To activate this environment, use
#

conda activate knime_r_environment

#
# To deactivate an active environment, use
#
# $ conda deactivate

# install in one step
conda install -c conda-forge r-ggplot2 r-sessioninfo r-foreign r-readr r-readxl r-cairo

# install in individual steps
conda install -c conda-forge r-sessioninfo
conda install -c conda-forge r-foreign
conda install -c conda-forge r-readr
conda install -c conda-forge r-cairo

# if you want to use h2o from within KNIME
conda install -c conda-forge r-h2o

# check the conda environments
conda info --envs

Type	Name
	Go back to parent directory
	data
	graphic
	model
	result
	script
	m_000_verzeichnisse_erstellen
	m_010_dateien_importieren
	m_015_datenmanipulation
	m_020_daten_trennen_und_analysieren
	m_025_daten_joinen
	m_100_prediction_daten_vorbereiten
	m_125_entscheidungsbaum
	m_150_sql_database_titanic
	m_200_digitize_titanic_beispiel
	m_210_image_listing_and_saving