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I found this helpful answer to almost the same question, but it doesn't quite do what I need. I have respondents' age, a continuous variable, and I'd like to recode it to categorical using tidyverse. The link above includes explanations of the functions cut_number(), cut_interval(), and cut_width(), but the reason those don't work for me is because I'd like to recode into categories that I've already determined ahead of time, namely, the ranges 18-34, 35-54, and 55+. None of those cut functions allow me to do this (or at least I didn't see how). I was able to get my code to run without tidyverse, using: data$age[data$"Age(Self-report)"<35] <- "18-34" data$age[data$"Age(Self-report)">34 & data$"Age(Self-report)"<55] <- "35-54" data$age[data$"Age(Self-report)">55] <- "55+"but I'm trying to be consistent in my coding style and would like to learn how to do this in Tidyverse. Thanks for any and all help! (责任编辑：) |