is there a way to shuffle dataframe's rows based on a filter? For instance, I have this dataframe:
data=data.frame(id=c(3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26),
name=c("restructuring","restructuring","restructuring","restructuring",
"control","control","control","control","clitic filler","clitic filler","clitic filler","clitic filler","clitic filler","clitic filler","clitic filler","clitic filler","action filler","action filler","action filler","action filler","action filler","action filler","action filler","action filler")
)
In which numbers from 3 to 6 are 'restructuring', 7-10 are 'control', 11-18 are 'clitic filler', 19-26 are 'action filler', and I'd like name
column to not have the same value in 2 consecutive rows.
I tried:
shuffled_data= data[sample(1:nrow(data)), ]
But this obviously randomizes with no criteria
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