`execute R` how to return something that is not a table

juju

Hi, it seems `execute R` only expect a data table as the return value.

When I return a simple real number, and it's recognized as `memory buffered file`.

(Tried to return a model, and same thing happened.)

 

Any help's appreciated. Thanks-

 

Code:

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.4.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="6.4.000" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="r_scripting:execute_r" compatibility="6.4.000" expanded="true" height="76" name="test" width="90" x="313" y="30">
        <parameter key="script" value="rm_main = function(){&#10;        &#10;        cat('Starting R script now ...\n')&#10;&#10;        x = 0.1&#10;        x&#10;&#10;}"/>
      </operator>
      <connect from_op="test" from_port="output 1" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="90"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>

 

bhupendra_patil

hello @juju

 

You are right, only datatables can be understood by standard rapidminer operators.

So anything else that needs to be passed to RM operator needs to be a datatable

 

However your R objects can be passed to other R scripts as needed.

 

The execute R operator has an example tutorial process, "Training and applying a linear model in R"  which shows how this concept works

 

Hope it is helpful