Add Table to R

The data table from the input port is imported into the R workspace as variable knime.in; existing variables are overwritten in case of a conflict. The node outputs an R workspace containing the updated variables.

More details about R:
http://www.r-project.org/
Short-refcard.pdf

Options

R Snippet

R Script: The code being executed in R. Code may be executed in full or in part using the Evaluate Script and Evaluate Selection options respectively. Output will be printed to the console.
Column List: The list contains the column that are available in the input table. Double click any of the column names to insert the respective field in the expression editor. It will replace your current selection or simply insert at the current caret position.
Flow Variable List: The list contains the flow variables that are currently visible to the node. Double clicking any of the entries will insert the respective identifier at the current cursor position in your expression editor, replacing the current selection.

Templates

Category: A template category defined by the author.
Title: Name of the template.
Description: A brief overview of the purpose of the template.
Preview: The code to be applied to your expression editor.

Advanced

Send Row Names to R: Whether to send the row names from KNIME to R. Disabling this can improve performance with very large tables. Row names of knime.in will instead be default R row names: 1:n.
R type for knime.in: By default knime.in is data.frame. For large input tables, using data.table is likely more memory efficient especially while sending the input data to R and may therefore be faster. Please be aware that the support for data.table is experimental (!) and requires the "data.table" R package to be installed. It may not work for some R scripts, may slightly change or even be removed entirely in a future version.
Send batch size: The input of the R node is sent in row batches (default, 10 000 rows at a time). This is the amount of rows KNIME will retain in memory at any given time. For large tables, a higher batch size may be faster, but will require additional memory. Be aware, that R will likely keep all of the input table in memory and this only helps with memory during transmission of data to R.
Overwrite default path to R home: Check this option to select a path to the home of a R installation that is different from the path configured on the R preference page. The path must point to the root folder of the R installation tree. You can either specify the path directly or use the R installation in a conda environment. The conda environment can be specified using a conda environment flow variable from e.g. a “Conda Environment Propagation” node.

Input Ports

: R Input
: Data Table Input

Output Ports

: R Output with appended data

Views

R Std Output: The text sent to standard out during the execution of R executable as well as the text of the .Rout file generated by R.
R Error Output: The text sent to standard error during the execution of R executable as well as the text of the .Rout file generated by R. (If it appears in gray, it's the output of a previously failing run which is preserved for your trouble shooting.)

Workflows

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

Installation

To use this node in KNIME, install the extension KNIME Interactive R Statistics Integration from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081535

On NodePit since: 2024-07-09

Last update: 2024-11-21

KNIME versions: Since v3.6

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!