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...ariables are >= 1, assign a value of 'N' if values on certain variables are >= 1 on other variables and assign a 'O' if values on any variable which have a value <= 0. The outcome of this code is to assign a single 'O'. Clearly I have made a mistake somewhere. pre_ <- new <- rep(0, nrow(reoffend)) > pre_ <- new[reoffend$pre01111 | reoffend$pre012 | reoffend$pre013>= 1] <-'V' > pre_ <- new[reoffend$pre02111>=1 | reoffend$pre02114>=1 | reoffend$pre2029>=1 | reoffend$pre0212>=1 | reoffend$pre0211>=1]<- ...

Hi everyone- I have a dataset with multiple "pre" and "post" variables I want to compare. The variables are named "apple_pre" or "pre_banana" with the corresponding post variables named "apple_post" or "post_banana". The variables are in no particular order. apple_pre orange_pre orange_post pre_banana apple_post post_banana person_1 person_2 person_3 ... person_x How do I: 1. Run a series of paired t-te...