I’d like to take numeric data, and calculate numeric “quintiles” with integer values in from 1 – 5 , with values in the lowest 20% of values having a value of 1, the >20 - <= 40% of values having a value of 2, the >40% - <=60% of values having a value of 3, etc.
How can I use quantcut, or another function, to do this? Thanks! Ex. x <- c(1:10) I want: myquintilefunction (x, q=5, na.rm=T) to return a vector with values: 1,1,2,2,3,3,4,4,5,5 Thanks! ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
