piping in Execute R

MahdiP

Hello everybody,

I am trying to make use of the dplyr package for data manipulation in Execute R in Rapidminer. Every thing almost goes fine except the piping procedure!

I have this chunk of code that does not give rise to any output dataset and I get "Memory buffered file" as the output message. I check the Log file and every thing seems to be working flawlessly!  The code reads:

 

rm_main = function(data)
{
library(datasets)
library(dplyr)

NewData <- (
data %>%
mutate (Product2= Tot_Product*2) %>%
filter(Life_Phase != "Family") %>%
group_by(City, P_PLUS, Life_Phase) %>%
summarise(AVG_Prem= mean(TOT_prem, na.rm=TRUE), AVG_Test= mean(Product2, na.rm=TRUE)) %>%
select(City, P_PLUS,Life_Phase,AVG_Prem, AVG_Test)
)
return(NewData)
}

This code actually works in RStudion.

I apprecitae your help.

Mahdi

Thomas_Ott

To build on what @mschmitz said, the Execute R operator allows you plass R objects to another Execute R operator but to output the results into RapidMiner, you have to first convert it to a dataframe inside your function.