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_.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