Table to R

Converts a KNIME data table into a data frame which is accessible within R as

More details about R:


R Snippet

R Script


Take the input column "d", compute students t-test and store the p-value in the flow variable p.value:

h <- t.test(["d"])
knime.flow.out <- list(p.value = h[["p.value"]])

Read the data from the file defined by the flow variable fname. The data object will be sent to the output:

data <- read.table([["fname"]])
Column List
The list contains the columns that are available in the input table. Double click any of the column names to insert the respective field in the expression editor.
Flow Variable List
The list contains the flow variables that are currently available at the node input. Double clicking any of the entries will insert the respective identifier at the current cursor position.


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


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 will instead be default R row names: 1:n.
R type for
By default 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

Data Table Input

Output Ports

R Output


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.)




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