This node executes a snippet/script using an R server (Rserve). The script for R can be selected from a
snippet template repository.
RGG (R GUI Generator)
is used to configure the R code using a graphical user interface in a way that the user does not need to
know scripting in R.
URL of the template file can be set in KNIME->Preferences->KNIME->R-Scripting
The input data table is sent to R as a data frame named 'kIn'. The output data table is pulled from R.
It has to be an R data frame named 'rOut'.
Script Editor:
Copy, cut or paste and R code to the editor and/or select the columns from your data table. If a
template is loaded used the GUI to adapt the script to the input data.
Templates:
Select a snippet template from the template repository (double-click or "Use this template") to use that
script and see the GUI.
The description explains what a snippet does.
Then configure the GUI according to your input data.
IMPORTANT :
This node is using R as back end, make sure that Rserve is running somewhere, and KNIME is accordingly
configured (KNIME->Preferences->KNIME->R-Scripting).
Scripting integration
Wiki (R server)
Options
Popular Predecessors
CSV Writer6 %Excel Reader (XLS)4 %- Column Filter3 %
Row Filter (deprecated)3 %Table Reader2 %- Normalizer2 %
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Table Row to Variable2 %- Row Sampling2 %
String To Number2 %Column Rename1 %- Empty Table Creator1 %
- Integer Input (legacy)1 %
- Table Creator1 %
Number To String1 %- Partitioning1 %
- CSV Reader1 %
Row Splitter (deprecated)1 %Python Snippet1 %- Excel Reader1 %
File Reader< 1 %- Column List Loop Start< 1 %
- Math Formula< 1 %
Python Script (1⇒1)< 1 %- Table Reader< 1 %
- R Snippet< 1 %
Concatenate (Optional in)< 1 %- Column Rename (Regex)< 1 %
- Rule-based Row Filter< 1 %
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XLS Reader< 1 %- File Reader< 1 %
- Linear Regression Learner< 1 %
- Joiner< 1 %
- Example Data< 1 %
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- Column Renamer (Dictionary)< 1 %
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- Cross Joiner< 1 %
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- Missing Value< 1 %
- Single sample t-test< 1 %
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Interval Loop Start< 1 %- Unpivot< 1 %
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Read Excel Sheet Names (XLS)< 1 %- Math Formula (Multi Column)< 1 %
- Variable to Table Row< 1 %
Table Column to Variable< 1 %Scorer< 1 %- Category to Number< 1 %
Linear Correlation< 1 %- Reference Row Filter< 1 %
Joiner< 1 %- Column Splitter< 1 %
- Column Expressions (legacy)< 1 %
- Missing Value Column Filter< 1 %
- Pivot< 1 %
- Java Snippet Row Filter< 1 %
- Column Aggregator< 1 %
- Column Filter Widget< 1 %
- Column Selection Widget< 1 %
- R Snippet (2:1)< 1 %
- Fix Column Names< 1 %
- Chunk Loop Start< 1 %
- Add Empty Rows< 1 %
- Concatenate< 1 %
- Column Combiner< 1 %
- Domain Calculator< 1 %
- RowID< 1 %
- Sorter< 1 %
Excel Reader (XLS)< 1 %- R to Table< 1 %
- Edit Nominal Domain< 1 %
- Variable Creator< 1 %
- Table Editor (JavaScript)< 1 %
- R Snippet< 1 %
- MolConverter< 1 %
Cell Splitter< 1 %- Column Merger< 1 %
- Reference Column Filter< 1 %
- Table Transposer< 1 %
Python Script (1⇒1)< 1 %- R Source (Table)< 1 %
- String to Date&Time< 1 %
- Random Numbers Generator< 1 %
- Split Collection Column< 1 %
- Try (Data Ports)< 1 %
- Try (Variable Ports)< 1 %
List Files< 1 %Counting Loop Start< 1 %- k-Means< 1 %
Column Appender< 1 %- Column Name Extractor< 1 %
- One to Many< 1 %
- Create Table Structure< 1 %
- Filter Apply< 1 %
- Missing Value (Apply)< 1 %
- IF Switch< 1 %
- Timer Info< 1 %
- Explorer Browser< 1 %
- Table to R< 1 %
- Mask Date/Time (legacy)< 1 %
- RDKit One Component Reaction< 1 %
- Merge Variables< 1 %
- Star< 1 %
- BinningAnalysis< 1 %
- Normalize Plates (NPI)< 1 %
- Normalize Plates (POC)< 1 %
- Convert to Table< 1 %
- Download (legacy)< 1 %
- URL to File Path< 1 %
Table Row To Variable Loop Start< 1 %- ARFF Reader< 1 %
CSV Reader< 1 %Database Connection Table Reader< 1 %Database Reader< 1 %- Java Edit Variable< 1 %
- Feature Selection Loop End< 1 %
- Loop End (Column Append)< 1 %
Loop End< 1 %- Hierarchical Clustering< 1 %
- SVM Predictor< 1 %
Tree Ensemble Predictor< 1 %- Column Resorter< 1 %
- Number Rounder< 1 %
- String Manipulation< 1 %
- String Replacer< 1 %
- Rule Engine< 1 %
- Data Generator< 1 %
- Java IF (Table)< 1 %
Bag of Words Creator< 1 %- Weka Predictor (3.7)< 1 %
- Column Filter (legacy)< 1 %
- Value Filter (legacy)< 1 %
- Image Properties< 1 %
- Python Source (legacy)< 1 %
Extract Date&Time Fields< 1 %- Moving Aggregator< 1 %
- Combine Columns by Header< 1 %
- Wait...< 1 %
Line Reader< 1 %- Java Snippet< 1 %
- X-Aggregator< 1 %
- X-Partitioner< 1 %
PCA< 1 %- Regression Predictor< 1 %
- SMOTE< 1 %
- Column Auto Type Cast< 1 %
- Number to String< 1 %
- Nominal Value Row Filter< 1 %
- Nominal Value Row Splitter< 1 %
- Denormalizer< 1 %
- Normalizer (PMML)< 1 %
- Rank< 1 %
- String Splitter (Regex)< 1 %
- Color Manager< 1 %
- SDF Reader< 1 %
- Parallel Chunk End< 1 %
- DB Query Reader< 1 %
- Counter Generation< 1 %
- Distance Matrix Calculate< 1 %
Excel Reader (XLS)< 1 %- Document Vector< 1 %
- t-SNE (L. Jonsson)< 1 %
- Integer Configuration< 1 %
- String Configuration< 1 %
- Double Input (legacy)< 1 %
- Integer Widget< 1 %
MongoDB Reader< 1 %Python Source< 1 %String Input (legacy)< 1 %- Modify Time< 1 %
XML Reader< 1 %- Molecular Properties< 1 %
- Mass Calculator< 1 %
- RDKit From Molecule< 1 %
- Run Garbage Collector< 1 %
- PCA< 1 %
- Empty Table Switch< 1 %
- Extract Table Dimension< 1 %
- Strings to Document< 1 %
- List Files/Folders< 1 %
- Value Selection Configuration< 1 %
- Table View (JavaScript)< 1 %
- Date&Time-based Row Filter< 1 %
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Workflows
08_Regularized_Logistic_RegressionKNIME Hub- 08_Regularized_Logistic_RegressionKNIME Hub
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