To install FSK-Lab 2.0 to KNIME 4.x open KNIME. The FSK-Lab 2.0 extension is available in a so-called update-site. Add the following update site via the Help > Install New Software > Add button in KNIME.
Type in a Name, like FSK-Lab 2.0. Copy the following link and paste it to Location: https://gitlab.bfr.berlin/silebat/repositories/raw/master/fsklab/
Hover over the triangle to open the drop down menu. Here you can what is encompassed in the software bundle. Select “BfR FSK-Lab”.
FSK-Lab support the execution of models created in the R statistical computing language (https://www.r-project.org). For convenience some bundles with preconfigured R are included in the FSK-Lab update-site. You can pick either the 32 or 64 bit version depending of your operating system. If you already have R installed on your system and you prefer to use that version, do not check either of the options. The bundles are named:
- R 3.4.4 for 64-bit Windows
- R 3.4.4 for 32-bit Windows
Note: Using an existing R installation in FSK-Lab
If you already have pre-configured R in your system and want to use this one, do not check this option. If you want to use your existing R installation together with FSK-Lab it is necessary to configure it, so it works well with FSK-Lab.
First three R packages need to be installed in your existing R installation. These can be easily installed in an R console with the command:
Second, The path to R needs to be set in the KNIME software. For that you go to “File -> Preferences -> KNIME -> FSK-Lab” and provide the path to the local R folder that holds a “bin” folder with the R.exe.
In the next window, you’ll see a list of the tools to be downloaded. Click Next.
Read and accept the license agreements, then click Finish.
Now the installation process starts. If you get a security warning saying that the authenticity or validity of the software can’t be established, click Install anyway.
Once the installation is finished, click Restart Now to apply the new software.
You find all selected FSK-Lab extensions in your KNIME node repository in the bottom-left corner.