Dear all, I am reading a modest dataset (2297 x 644) with specific values I want to change. The code is inelegant but looks like this:
df <- read.csv("mydata.csv", header = TRUE, stringsAsFactors = FALSE) # yrsquit, packyrs missing for following IDs. Manually change. for(myid in c(2165, 2534, 2553, 2611, 2983, 3233)){ temp <- subset(df, id == myid) df[df$id == myid , "yrsquit"] <- 0 temp.yrssmoke <- temp$age-(temp$agesmoke+temp$yrsquit) df[df$id == myid , "yrssmoke"] <- temp.yrssmoke df[df$id == myid , "packyrs"] <- (temp$cigsdaytotal/20)*(temp.yrssmoke) } If I run just the first line and then the for loop, it works. If I run the first line and for loop together, yrsquit is properly replaced to == 0, but packyrs is NA still. Obviously there's many ways around this specific problem, but I was wondering what the issue is here, so as to look out for and avoid it in the future. Apologies for the lack of reproducible code; I haven't yet reproduced the problem with generated data. Much thanks in advance. Best regards, Emily [[alternative HTML version deleted]] ______________________________________________ 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.