Assume you have a vector like so:
v <- c(1,1,1,2,2,2,2,1,1,3,3,3,3)
How can it be best reduced to a data.frame like this?
v.df <- data.frame(value=c(1,2,1,3),repetitions=c(3,4,2,4))
In a procedural language I might just iterate through a loop and build the data.frame as I go, but with a large dataset in R such an approach is inefficient. Any advice?