Question

I’m looking to take 79 columns and make a unique variable for each column.
I can manually create the variables by subsetting:

    v1 <- x[1]
    v2 <- x[2]
    etc.

I was wondering if/know there’s a much faster way to do it. I’m just not really sure how.
Right now I have:

    test <- matrix(rep(1,79), nrow = 1, ncol = 79)
    c2v <- function(test){
        for (i in c(1:79){
          v[i] <- test[i]
        }
        return(v[i])
    }
    c2v(test)

Thanks as always for the help!

Jon

Answer 1

What about something like:

test <- matrix(rep(1,79), nrow = 1, ncol = 79)

for (i in 1:ncol(test)) {
   temp <- (paste(c("v",i), collapse=""))
   assign(temp,test[i])
}

I’m sure it could be reconfigured to get rid of the loop, but this should work.

Future me editing my past mistakes:

Something like the following may be a more appropriate non-loop solution.

list2env(as.data.frame(test),envir=.GlobalEnv)

It is probably still better practice to work with a data.frame or list than breaking up to individual vectors.