I have a dataset of tasks. Each task:
- has a duration (difftime in seconds)
- belongs to a project (project name factor)
- has an owner (user name factor)
In R , I can simulate my data by something like:
set.seed(1) dat <- sample(data.frame(duration=runif(N,1,8), owner=sample(gl(N/50,50)), project=sample(gl(N/60,60))))
Is it possible to estimate duration using owner / project categorical variables? What are the best methods to explore: classification, estimation, clustering, trees, something else?
I am not looking for an exact solution but rather I want to have a methodology to deal with this kind of problem.