piping in Execute R
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)
NewData <- (
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)
This code actually works in RStudion.
I apprecitae your help.